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Jack P.C. Kleijnen

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Kleijnen, Jack & van Beers, W.C.M., 2019. "Statistical Tests for Cross-Validation of Kriging Models," Discussion Paper 2019-022, Tilburg University, Center for Economic Research.

    Cited by:

    1. Aikaterini P. Kyprioti & Alexandros A. Taflanidis & Norberto C. Nadal-Caraballo & Madison O. Campbell, 2021. "Incorporation of sea level rise in storm surge surrogate modeling," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(1), pages 531-563, January.
    2. Nuno Costa & Paulo Fontes, 2020. "Energy-Efficiency Assessment and Improvement—Experiments and Analysis Methods," Sustainability, MDPI, vol. 12(18), pages 1-19, September.

  2. Kleijnen, J.P.C. & van Beers, W.C.M., 2018. "Prediction for Big Data through Kriging : Small Sequential and One-Shot Designs," Discussion Paper 2018-022, Tilburg University, Center for Economic Research.

    Cited by:

    1. Xuefei Lu & Alessandro Rudi & Emanuele Borgonovo & Lorenzo Rosasco, 2020. "Faster Kriging: Facing High-Dimensional Simulators," Operations Research, INFORMS, vol. 68(1), pages 233-249, January.

  3. Kleijnen, J.P.C., 2017. "Design and Analysis of simulation experiments : Tutorial," Discussion Paper 2017-018, Tilburg University, Center for Economic Research.

    Cited by:

    1. Elmar Plischke & Emanuele Borgonovo, 2020. "Fighting the Curse of Sparsity: Probabilistic Sensitivity Measures From Cumulative Distribution Functions," Risk Analysis, John Wiley & Sons, vol. 40(12), pages 2639-2660, December.
    2. Kleijnen, J.P.C. & van Beers, W.C.M., 2018. "Prediction for Big Data through Kriging : Small Sequential and One-Shot Designs," Discussion Paper 2018-022, Tilburg University, Center for Economic Research.
    3. Nuno Costa & Paulo Fontes, 2020. "Energy-Efficiency Assessment and Improvement—Experiments and Analysis Methods," Sustainability, MDPI, vol. 12(18), pages 1-19, September.

  4. Kleijnen, J.P.C. & Shi, Wen, 2017. "Sequential Probability Ration Tests : Conservative and Robust," Discussion Paper 2017-001, Tilburg University, Center for Economic Research.

    Cited by:

    1. Shi, Wen & Kleijnen, J.P.C., 2017. "Testing the Assumptions of Sequential Bifurcation for Factor Screening (revision of CentER DP 2015-034)," Other publications TiSEM 763fd6f8-b618-4b06-a284-5, Tilburg University, School of Economics and Management.

  5. Kleijnen, J.P.C., 2015. "Regression and Kriging Metamodels with Their Experimental Designs in Simulation : Review," Discussion Paper 2015-035, Tilburg University, Center for Economic Research.

    Cited by:

    1. Christian Troost & Julia Parussis-Krech & Matías Mejaíl & Thomas Berger, 2023. "Boosting the Scalability of Farm-Level Models: Efficient Surrogate Modeling of Compositional Simulation Output," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 721-759, October.
    2. Duro, João A. & Ozturk, Umud Esat & Oara, Daniel C. & Salomon, Shaul & Lygoe, Robert J. & Burke, Richard & Purshouse, Robin C., 2023. "Methods for constrained optimization of expensive mixed-integer multi-objective problems, with application to an internal combustion engine design problem," European Journal of Operational Research, Elsevier, vol. 307(1), pages 421-446.
    3. Tay, Timothy & Osorio, Carolina, 2022. "Bayesian optimization techniques for high-dimensional simulation-based transportation problems," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 210-243.
    4. Powell, Warren B., 2019. "A unified framework for stochastic optimization," European Journal of Operational Research, Elsevier, vol. 275(3), pages 795-821.
    5. J.-J. Sinou & L. Nechak & S. Besset, 2018. "Kriging Metamodeling in Rotordynamics: Application for Predicting Critical Speeds and Vibrations of a Flexible Rotor," Complexity, Hindawi, vol. 2018, pages 1-26, March.
    6. Liu, Yushan & Li, Luyi & Chang, Zeming, 2023. "Efficient Bayesian model updating for dynamic systems," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    7. Koziel, Slawomir & Pietrenko-Dabrowska, Anna, 2022. "Constrained multi-objective optimization of compact microwave circuits by design triangulation and pareto front interpolation," European Journal of Operational Research, Elsevier, vol. 299(1), pages 302-312.
    8. Na Li & Xiaorui Li & Paul Forero, 2022. "Physician scheduling for outpatient department with nonhomogeneous patient arrival and priority queue," Flexible Services and Manufacturing Journal, Springer, vol. 34(4), pages 879-915, December.
    9. Sylvain Barde & Sander van der Hoog, 2017. "An empirical validation protocol for large-scale agent-based models," Studies in Economics 1712, School of Economics, University of Kent.
    10. Pasta, Edoardo & Faedo, Nicolás & Mattiazzo, Giuliana & Ringwood, John V., 2023. "Towards data-driven and data-based control of wave energy systems: Classification, overview, and critical assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    11. Capitanescu, F. & Marvuglia, A. & Benetto, E. & Ahmadi, A. & Tiruta-Barna, L., 2017. "Linear programming-based directed local search for expensive multi-objective optimization problems: Application to drinking water production plants," European Journal of Operational Research, Elsevier, vol. 262(1), pages 322-334.
    12. Xiangang Cao & Pengfei Li & Song Ming, 2021. "Remaining Useful Life Prediction-Based Maintenance Decision Model for Stochastic Deterioration Equipment under Data-Driven," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    13. Xie, Wei & Barton, Russell R. & Nelson, Barry L. & Wang, Keqi, 2023. "Stochastic simulation uncertainty analysis to accelerate flexible biomanufacturing process development," European Journal of Operational Research, Elsevier, vol. 310(1), pages 238-248.
    14. Song, Zhouzhou & Zhang, Hanyu & Liu, Zhao & Zhu, Ping, 2023. "A two-stage Kriging estimation variance reduction method for efficient time-variant reliability-based design optimization," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    15. Giulia Pedrielli & K. Selcuk Candan & Xilun Chen & Logan Mathesen & Alireza Inanalouganji & Jie Xu & Chun-Hung Chen & Loo Hay Lee, 2019. "Generalized Ordinal Learning Framework (GOLF) for Decision Making with Future Simulated Data," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(06), pages 1-35, December.
    16. Wu, Zeping & Wang, Wenjie & Wang, Donghui & Zhao, Kun & Zhang, Weihua, 2019. "Global sensitivity analysis using orthogonal augmented radial basis function," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 291-302.
    17. Liu, Yushan & Li, Luyi & Zhao, Sihan & Song, Shufang, 2021. "A global surrogate model technique based on principal component analysis and Kriging for uncertainty propagation of dynamic systems," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    18. Miranda, Rafael de Carvalho & Montevechi, José Arnaldo Barra & da Silva, Aneirson Francisco & Marins, Fernando Augusto Silva, 2017. "Increasing the efficiency in integer simulation optimization: Reducing the search space through data envelopment analysis and orthogonal arrays," European Journal of Operational Research, Elsevier, vol. 262(2), pages 673-681.
    19. Tang, Xinzi & Wang, Zhe & Xiao, Peng & Peng, Ruitao & Liu, Xiongwei, 2020. "Uncertainty quantification based optimization of centrifugal compressor impeller for aerodynamic robustness under stochastic operational conditions," Energy, Elsevier, vol. 195(C).
    20. Wang, Yabo & Yu, Jianyang & Song, Yanping & Chen, Fu, 2020. "Parameter optimization of the composite honeycomb tip in a turbine cascade," Energy, Elsevier, vol. 197(C).
    21. Li, Guosheng & Ma, Shuaichao & Zhang, Dequan & Yang, Leping & Zhang, Weihua & Wu, Zeping, 2024. "An efficient sequential anisotropic RBF reliability analysis method with fast cross-validation and parallelizability," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    22. Nuno Costa & Paulo Fontes, 2020. "Energy-Efficiency Assessment and Improvement—Experiments and Analysis Methods," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    23. Chen, Xi & Zhou, Qiang, 2017. "Sequential design strategies for mean response surface metamodeling via stochastic kriging with adaptive exploration and exploitation," European Journal of Operational Research, Elsevier, vol. 262(2), pages 575-585.

  6. Mehdad, Ehsan & Kleijnen, J.P.C., 2015. "Efficient Global Optimization for Black-Box Simulation via Sequential Intrinsic Kriging," Discussion Paper 2015-042, Tilburg University, Center for Economic Research.

    Cited by:

    1. Pedrielli, Giulia & Wang, Songhao & Ng, Szu Hui, 2020. "An extended Two-Stage Sequential Optimization approach: Properties and performance," European Journal of Operational Research, Elsevier, vol. 287(3), pages 929-945.

  7. Shi, W. & Kleijnen, J.P.C., 2015. "Validating the Assumptions of Sequential Bifurcation in Factor Screening," Discussion Paper 2015-034, Tilburg University, Center for Economic Research.

    Cited by:

    1. Shi, Wen & Kleijnen, J.P.C., 2017. "Testing the Assumptions of Sequential Bifurcation for Factor Screening (revision of CentER DP 2015-034)," Other publications TiSEM 763fd6f8-b618-4b06-a284-5, Tilburg University, School of Economics and Management.

  8. Mehdad, Ehsan & Kleijnen, J.P.C., 2015. "Stochastic Intrinsic Kriging for Simulation Metamodelling," Discussion Paper 2015-038, Tilburg University, Center for Economic Research.

    Cited by:

    1. Mehdad, Ehsan & Kleijnen, J.P.C., 2015. "Efficient Global Optimization for Black-Box Simulation via Sequential Intrinsic Kriging," Discussion Paper 2015-042, Tilburg University, Center for Economic Research.
    2. Mehdad, E. & Kleijnen, Jack P.C., 2014. "Global Optimization for Black-box Simulation via Sequential Intrinsic Kriging," Other publications TiSEM 8fa8d96f-a086-4c4b-88ab-9, Tilburg University, School of Economics and Management.
    3. Mehdad, E., 2015. "Kriging metamodels and global opimization in simulation," Other publications TiSEM 5b5c276a-fe68-4ce9-b8a8-1, Tilburg University, School of Economics and Management.
    4. Nathan E. Wilson, 2021. "The Impact of Competition on Investment: Evidence From California Hospitals," Journal of Industrial Economics, Wiley Blackwell, vol. 69(1), pages 1-32, March.
    5. Feng, Ben Mingbin & Li, Johnny Siu-Hang & Zhou, Kenneth Q., 2022. "Green nested simulation via likelihood ratio: Applications to longevity risk management," Insurance: Mathematics and Economics, Elsevier, vol. 106(C), pages 285-301.

  9. Kleijnen, Jack P.C. & Mehdad, E., 2014. "Multivariate Versus Univariate Kriging Metamodels for Multi-Response Simulation Models (Revision of 2012-039)," Discussion Paper 2014-012, Tilburg University, Center for Economic Research.

    Cited by:

    1. Sadoughi, Mohammadkazem & Li, Meng & Hu, Chao, 2018. "Multivariate system reliability analysis considering highly nonlinear and dependent safety events," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 189-200.
    2. Furtado Júnior, Juarez Corrêa & Palacio, José Carlos Escobar & Leme, Rafael Coradi & Lora, Electo Eduardo Silva & da Costa, José Eduardo Loureiro & Reyes, Arnaldo Martín Martínez & del Olmo, Oscar Alm, 2020. "Biorefineries productive alternatives optimization in the brazilian sugar and alcohol industry," Applied Energy, Elsevier, vol. 259(C).
    3. Binois, M. & Ginsbourger, D. & Roustant, O., 2015. "Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations," European Journal of Operational Research, Elsevier, vol. 243(2), pages 386-394.
    4. Menafoglio, Alessandra & Secchi, Piercesare, 2017. "Statistical analysis of complex and spatially dependent data: A review of Object Oriented Spatial Statistics," European Journal of Operational Research, Elsevier, vol. 258(2), pages 401-410.
    5. Liu, Yushan & Li, Luyi & Zhao, Sihan & Song, Shufang, 2021. "A global surrogate model technique based on principal component analysis and Kriging for uncertainty propagation of dynamic systems," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    6. Rahat, Alma A.M. & Wang, Chunlin & Everson, Richard M. & Fieldsend, Jonathan E., 2018. "Data-driven multi-objective optimisation of coal-fired boiler combustion systems," Applied Energy, Elsevier, vol. 229(C), pages 446-458.

  10. Kleijnen, Jack P.C., 2014. "Response Surface Methodology," Discussion Paper 2014-013, Tilburg University, Center for Economic Research.

    Cited by:

    1. Mahmoodi, S.R. & Mayer, M. & Besser, R.S., 2021. "Rapid and simple assembly of a thin microfluidic fuel cell stack by gas-assisted thermal bonding," Applied Energy, Elsevier, vol. 295(C).
    2. Wenqing Liang & Qining Xun & Zhiyong Shu & Fuming Lu & Hua Qian, 2021. "Numerical Simulation of Erosion Characteristics for Solid-Air Particles in Liquid Hydrogen Elbow Pipe," Sustainability, MDPI, vol. 13(23), pages 1-12, December.
    3. Hossain, S. M. Zakir & Sultana, Nahid & Razzak, Shaikh A. & Hossain, Mohammad M., 2022. "Modeling and multi-objective optimization of microalgae biomass production and CO2 biofixation using hybrid intelligence approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    4. Shen-Tsu Wang, 2016. "Integrating grey sequencing with the genetic algorithm--immune algorithm to optimise touch panel cover glass polishing process parameter design," International Journal of Production Research, Taylor & Francis Journals, vol. 54(16), pages 4882-4893, August.
    5. K. Venkata Rao & P. B. G. S. N. Murthy, 2018. "Modeling and optimization of tool vibration and surface roughness in boring of steel using RSM, ANN and SVM," Journal of Intelligent Manufacturing, Springer, vol. 29(7), pages 1533-1543, October.
    6. Shuai Luo & Hongyue Sun & Qingyun Ping & Ran Jin & Zhen He, 2016. "A Review of Modeling Bioelectrochemical Systems: Engineering and Statistical Aspects," Energies, MDPI, vol. 9(2), pages 1-27, February.
    7. El Hamdani, Fayrouz & Vaudreuil, Sébastien & Abderafi, Souad & Bounahmidi, Tijani, 2021. "Determination of design parameters to minimize LCOE, for a 1 MWe CSP plant in different sites," Renewable Energy, Elsevier, vol. 169(C), pages 1013-1025.
    8. Yin, Zhihong & Chu, Ruoyu & Zhu, Liandong & Li, Shuangxi & Mo, Fan & Hu, Dan & Liu, Chenchen, 2021. "Application of chitosan-based flocculants to harvest microalgal biomass for biofuel production: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    9. Mirzaei, Farokh & Parnian, Mohammad Javad & Rowshanzamir, Soosan, 2017. "Durability investigation and performance study of hydrothermal synthesized platinum-multi walled carbon nanotube nanocomposite catalyst for proton exchange membrane fuel cell," Energy, Elsevier, vol. 138(C), pages 696-705.
    10. García, R. & Gil, M.V. & Rubiera, F. & Chen, D. & Pevida, C., 2021. "Renewable hydrogen production from biogas by sorption enhanced steam reforming (SESR): A parametric study," Energy, Elsevier, vol. 218(C).
    11. Ogunkunle, Oyetola & Ahmed, Noor A., 2019. "Performance evaluation of a diesel engine using blends of optimized yields of sand apple (Parinari polyandra) oil biodiesel," Renewable Energy, Elsevier, vol. 134(C), pages 1320-1331.
    12. Yek, Peter Nai Yuh & Cheng, Yoke Wang & Liew, Rock Keey & Wan Mahari, Wan Adibah & Ong, Hwai Chyuan & Chen, Wei-Hsin & Peng, Wanxi & Park, Young-Kwon & Sonne, Christian & Kong, Sieng Huat & Tabatabaei, 2021. "Progress in the torrefaction technology for upgrading oil palm wastes to energy-dense biochar: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    13. Qin, Caiyan & Kim, Joong Bae & Lee, Bong Jae, 2019. "Performance analysis of a direct-absorption parabolic-trough solar collector using plasmonic nanofluids," Renewable Energy, Elsevier, vol. 143(C), pages 24-33.
    14. Pandey, Ajay Kumar & Edgard, Gnansounou & Negi, Sangeeta, 2016. "Optimization of concomitant production of cellulase and xylanase from Rhizopus oryzae SN5 through EVOP-factorial design technique and application in Sorghum Stover based bioethanol production," Renewable Energy, Elsevier, vol. 98(C), pages 51-56.
    15. Yu, Xunzhao & Zhu, Ling & Wang, Yan & Filev, Dimitar & Yao, Xin, 2022. "Internal combustion engine calibration using optimization algorithms," Applied Energy, Elsevier, vol. 305(C).
    16. Naik, B. Kiran & Bhowmik, Mrinal & Muthukumar, P., 2019. "Experimental investigation and numerical modelling on the performance assessments of evacuated U – Tube solar collector systems," Renewable Energy, Elsevier, vol. 134(C), pages 1344-1361.
    17. Kaushik, Lav Kumar & Muthukumar, P., 2020. "Thermal and economic performance assessments of waste cooking oil /kerosene blend operated pressure cook-stove with porous radiant burner," Energy, Elsevier, vol. 206(C).
    18. Silva, Tatiane C. & Pinto, Gabriel M. & de Souza, Túlio A.Z. & Valerio, Victor & Silvério, Naidion M. & Coronado, Christian J.R. & Guardia, Eduardo Crestana, 2020. "Technical and economical evaluation of the photovoltaic system in Brazilian public buildings: A case study for peak and off-peak hours," Energy, Elsevier, vol. 190(C).
    19. Damir Sostaric & Gyula Mester & Sanja Dorner, 2019. "Mobile ECG and SPO2 Chest Pain Subjective Indicators of Patient with GPS Location in Smart Cities," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 17(3-B), pages 629-639.
    20. Yaman, Hayri & Yesilyurt, Murat Kadir & Uslu, Samet, 2022. "Simultaneous optimization of multiple engine parameters of a 1-heptanol / gasoline fuel blends operated a port-fuel injection spark-ignition engine using response surface methodology approach," Energy, Elsevier, vol. 238(PC).
    21. Misbah Niamat & Shoaib Sarfraz & Wasim Ahmad & Essam Shehab & Konstantinos Salonitis, 2019. "Parametric Modelling and Multi-Objective Optimization of Electro Discharge Machining Process Parameters for Sustainable Production," Energies, MDPI, vol. 13(1), pages 1-20, December.
    22. Hyun Jin Jung & Hyun Kwak & Jinyoung Chun & Kyeong Keun Oh, 2021. "Alkaline Fractionation and Subsequent Production of Nano-Structured Silica and Cellulose Nano-Fibrils for the Comprehensive Utilization of Rice Husk," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    23. Zengya Zhao & Sibao Wang & Zehua Wang & Shilong Wang & Chi Ma & Bo Yang, 2022. "Surface roughness stabilization method based on digital twin-driven machining parameters self-adaption adjustment: a case study in five-axis machining," Journal of Intelligent Manufacturing, Springer, vol. 33(4), pages 943-952, April.
    24. Dahmen-Ben Moussa, Ines & Chtourou, Haifa & Hassairi, Ilem & Sayadi, Sami & Dhouib, Abdelhafidh, 2019. "The effect of switching environmental conditions on content and structure of lipid produced by a wild strain Picochlorum sp," Renewable Energy, Elsevier, vol. 134(C), pages 406-415.
    25. Akhtari, Mohammad Reza & Shayegh, Iman & Karimi, Nader, 2020. "Techno-economic assessment and optimization of a hybrid renewable earth - air heat exchanger coupled with electric boiler, hydrogen, wind and PV configurations," Renewable Energy, Elsevier, vol. 148(C), pages 839-851.
    26. Ma, Jiao & Feng, Shuo & Zhang, Zhikun & Wang, Zhuozhi & Kong, Wenwen & Yuan, Peng & Shen, Boxiong & Mu, Lan, 2022. "Effect of torrefaction pretreatment on the combustion characteristics of the biodried products derived from municipal organic wastes," Energy, Elsevier, vol. 239(PD).
    27. Hemansi, & Gupta, Rishi & Aswal, Vinod K. & Saini, Jitendra Kumar, 2020. "Sequential dilute acid and alkali deconstruction of sugarcane bagasse for improved hydrolysis: Insight from small angle neutron scattering (SANS)," Renewable Energy, Elsevier, vol. 147(P1), pages 2091-2101.
    28. Li, Lei & Jiao, Jiangkun & Sun, Shouyi & Zhao, Zhenan & Kang, Jialei, 2019. "Aerodynamic shape optimization of a single turbine stage based on parameterized Free-Form Deformation with mapping design parameters," Energy, Elsevier, vol. 169(C), pages 444-455.
    29. Li, Hong & Zhao, Zhenyu & Xiouras, Christos & Stefanidis, Georgios D. & Li, Xingang & Gao, Xin, 2019. "Fundamentals and applications of microwave heating to chemicals separation processes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    30. Visva Bharati Barua & Mariya Munir, 2021. "A Review on Synchronous Microalgal Lipid Enhancement and Wastewater Treatment," Energies, MDPI, vol. 14(22), pages 1-20, November.
    31. Jawaharraj, Kalimuthu & Karpagam, Rathinasamy & Ashokkumar, Balasubramaniem & Pratheeba, Chanda Nagarajan & Varalakshmi, Perumal, 2016. "Enhancement of biodiesel potential in cyanobacteria: using agro-industrial wastes for fuel production, properties and acetyl CoA carboxylase D (accD) gene expression of Synechocystis sp.NN," Renewable Energy, Elsevier, vol. 98(C), pages 72-77.
    32. Zhiying Zhu & Jin Zhu & Hailang Zhu & Xi Zhu & Yajie Yu, 2020. "Optimization Design of an Axial Split-Phase Bearingless Flywheel Machine with Magnetic Sleeve and Pole-Shoe Tooth by RSM and DE Algorithm," Energies, MDPI, vol. 13(5), pages 1-18, March.
    33. Battista, Federico & Barampouti, Elli Maria & Mai, Sofia & Bolzonella, David & Malamis, Dimitris & Moustakas, Konstantinos & Loizidou, Maria, 2020. "Added-value molecules recovery and biofuels production from spent coffee grounds," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    34. Pascoal, C.V.P. & Oliveira, A.L.L. & Figueiredo, D.D. & Assunção, J.C.C., 2020. "Optimization and kinetic study of ultrasonic-mediated in situ transesterification for biodiesel production from the almonds of Syagrus cearensis," Renewable Energy, Elsevier, vol. 147(P1), pages 1815-1824.
    35. Ramos, Ana & Monteiro, Eliseu & Rouboa, Abel, 2019. "Numerical approaches and comprehensive models for gasification process: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 188-206.
    36. Darko Landek & Lidija Ćurković & Ivana Gabelica & Mihone Kerolli Mustafa & Irena Žmak, 2021. "Optimization of Sintering Process of Alumina Ceramics Using Response Surface Methodology," Sustainability, MDPI, vol. 13(12), pages 1-14, June.
    37. D. M. D. Rasika & Janak K. Vidanarachchi & Selma F. Luiz & Denise Rosane Perdomo Azeredo & Adriano G. Cruz & Chaminda Senaka Ranadheera, 2021. "Probiotic Delivery through Non-Dairy Plant-Based Food Matrices," Agriculture, MDPI, vol. 11(7), pages 1-23, June.
    38. M'Arimi, M.M. & Mecha, C.A. & Kiprop, A.K. & Ramkat, R., 2020. "Recent trends in applications of advanced oxidation processes (AOPs) in bioenergy production: Review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    39. Elghool, Ali & Basrawi, Firdaus & Ibrahim, Thamir Khalil & Ibrahim, Hassan & Ishak, M. & Hazwan bin Yusof, Mohd & Bagaber, Salem Abdullah, 2020. "Multi-objective optimization to enhance the performance of thermo-electric generator combined with heat pipe-heat sink under forced convection," Energy, Elsevier, vol. 208(C).
    40. Láinez, Magdiel & Ruiz, Héctor A. & Arellano-Plaza, Melchor & Martínez-Hernández, Sergio, 2019. "Bioethanol production from enzymatic hydrolysates of Agave salmiana leaves comparing S. cerevisiae and K. marxianus," Renewable Energy, Elsevier, vol. 138(C), pages 1127-1133.
    41. Dugaria, Simone & Bortolato, Matteo & Del Col, Davide, 2018. "Modelling of a direct absorption solar receiver using carbon based nanofluids under concentrated solar radiation," Renewable Energy, Elsevier, vol. 128(PB), pages 495-508.
    42. Akdeniz, Fikret & Biçil, Metin & Karadede, Yusuf & Özbek, Füreya Elif & Özdemir, Gültekin, 2018. "Application of real valued genetic algorithm on prediction of higher heating values of various lignocellulosic materials using lignin and extractive contents," Energy, Elsevier, vol. 160(C), pages 1047-1054.
    43. Ali Taghi-Molla & Masoud Rabbani & Mohammad Hosein Karimi Gavareshki & Ehsan Dehghani, 2020. "Safety improvement in a gas refinery based on resilience engineering and macro-ergonomics indicators: a Bayesian network–artificial neural network approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(3), pages 641-654, June.
    44. Arridina Susan Silitonga & Teuku Meurah Indra Mahlia & Abd Halim Shamsuddin & Hwai Chyuan Ong & Jassinnee Milano & Fitranto Kusumo & Abdi Hanra Sebayang & Surya Dharma & Husin Ibrahim & Hazlina Husin , 2019. "Optimization of Cerbera manghas Biodiesel Production Using Artificial Neural Networks Integrated with Ant Colony Optimization," Energies, MDPI, vol. 12(20), pages 1-21, October.
    45. Mukhtar, Ahmad & Saqib, Sidra & Mubashir, Muhammad & Ullah, Sami & Inayat, Abrar & Mahmood, Abid & Ibrahim, Muhammad & Show, Pau Loke, 2021. "Mitigation of CO2 emissions by transforming to biofuels: Optimization of biofuels production processes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    46. Muhammad, Gul & Potchamyou Ngatcha, Ange Douglas & Lv, Yongkun & Xiong, Wenlong & El-Badry, Yaser A. & Asmatulu, Eylem & Xu, Jingliang & Alam, Md Asraful, 2022. "Enhanced biodiesel production from wet microalgae biomass optimized via response surface methodology and artificial neural network," Renewable Energy, Elsevier, vol. 184(C), pages 753-764.
    47. Sajjadi, Baharak & Chen, Wei-Yin & Raman, Abdul. Aziz. Abdul & Ibrahim, Shaliza, 2018. "Microalgae lipid and biomass for biofuel production: A comprehensive review on lipid enhancement strategies and their effects on fatty acid composition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 200-232.
    48. Ahmed A. A. Alduroobi & Alaa M. Ubaid & Maan Aabid Tawfiq & Rasha R. Elias, 2020. "Wire EDM process optimization for machining AISI 1045 steel by use of Taguchi method, artificial neural network and analysis of variances," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1314-1338, December.
    49. Sunil Kumar & Ravindra Nath Yadav & Raghuvir Kumar, 2020. "Empirical modeling and multi-response optimization of duplex turning for Ni-718 alloy," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(1), pages 126-139, February.
    50. Renzi, Massimiliano & Bietresato, Marco & Mazzetto, Fabrizio, 2016. "An experimental evaluation of the performance of a SI internal combustion engine for agricultural purposes fuelled with different bioethanol blends," Energy, Elsevier, vol. 115(P1), pages 1069-1080.
    51. Hoseini, S.S. & Najafi, G. & Ghobadian, B. & Rahimi, A. & Yusaf, Talal & Mamat, Rizalman & Sidik, N.A.C. & Azmi, W.H., 2017. "Effects of biodiesel fuel obtained from Salvia macrosiphon oil (ultrasonic-assisted) on performance and emissions of diesel engine," Energy, Elsevier, vol. 131(C), pages 289-296.
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  11. Kleijnen, Jack P.C. & Mehdad, E., 2013. "Conditional simulation for efficient global optimization," Other publications TiSEM 52e4860d-9887-4a63-b19a-7, Tilburg University, School of Economics and Management.

    Cited by:

    1. Kleijnen, Jack P.C. & Mehdad, E., 2014. "Multivariate Versus Univariate Kriging Metamodels for Multi-Response Simulation Models (Revision of 2012-039)," Other publications TiSEM 8a096696-f700-4cbe-9474-c, Tilburg University, School of Economics and Management.
    2. Mehdad, E. & Kleijnen, Jack P.C., 2014. "Classic Kriging versus Kriging with Bootstrapping or Conditional Simulation : Classic Kriging's Robust Confidence Intervals and Optimization (Revised version of CentER DP 2013-038)," Discussion Paper 2014-076, Tilburg University, Center for Economic Research.
    3. Kleijnen, Jack P.C. & Mehdad, Ehsan, 2014. "Multivariate versus univariate Kriging metamodels for multi-response simulation models," European Journal of Operational Research, Elsevier, vol. 236(2), pages 573-582.

  12. Shi, W. & Kleijnen, Jack P.C. & Liu, Zhixue, 2013. "Factor Screening For Simulation With Multiple Responses : Sequential Bifurcation," Discussion Paper 2013-009, Tilburg University, Center for Economic Research.

    Cited by:

    1. Ouyang, Linhan & Ma, Yizhong & Wang, Jianjun & Tu, Yiliu, 2017. "A new loss function for multi-response optimization with model parameter uncertainty and implementation errors," European Journal of Operational Research, Elsevier, vol. 258(2), pages 552-563.
    2. Wen Shi & Xi Chen & Jennifer Shang, 2019. "An Efficient Morris Method-Based Framework for Simulation Factor Screening," INFORMS Journal on Computing, INFORMS, vol. 31(4), pages 745-770, October.
    3. Nicola Rossi & Mario Bačić & Lovorka Librić & Meho Saša Kovačević, 2023. "Methodology for Identification of the Key Levee Parameters for Limit-State Analyses Based on Sequential Bifurcation," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    4. Mustafa Hekimoğlu & Yaman Barlas & Luis Luna-Reyes, 2016. "Sensitivity analysis for models with multiple behavior modes: a method based on behavior pattern measures," System Dynamics Review, System Dynamics Society, vol. 32(3-4), pages 332-362, July.
    5. Shi, Wen & Kleijnen, J.P.C., 2017. "Testing the Assumptions of Sequential Bifurcation for Factor Screening (revision of CentER DP 2015-034)," Other publications TiSEM 763fd6f8-b618-4b06-a284-5, Tilburg University, School of Economics and Management.
    6. Wen Shi & Xi Chen, 2018. "Efficient budget allocation strategies for elementary effects method in stochastic simulation," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(3), pages 218-241, April.
    7. Kleijnen, Jack P.C., 2017. "Regression and Kriging metamodels with their experimental designs in simulation: A review," European Journal of Operational Research, Elsevier, vol. 256(1), pages 1-16.
    8. Shi, W. & Kleijnen, J.P.C., 2015. "Validating the Assumptions of Sequential Bifurcation in Factor Screening," Other publications TiSEM 20917855-af54-4d4d-a54b-6, Tilburg University, School of Economics and Management.
    9. Kleijnen, Jack P.C., 2014. "Response Surface Methodology," Other publications TiSEM 7f9f17ee-db7f-4041-a686-d, Tilburg University, School of Economics and Management.
    10. Shi, Wen & Chen, Xi, 2019. "Controlled Morris method: A new factor screening approach empowered by a distribution-free sequential multiple testing procedure," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 299-314.

  13. Yanikoglu, I. & den Hertog, D. & Kleijnen, Jack P.C., 2013. "Adjustable Robust Parameter Design with Unknown Distributions," Discussion Paper 2013-022, Tilburg University, Center for Economic Research.

    Cited by:

    1. Kleijnen, Jack P.C., 2013. "Simulation-Optimization via Kriging and Bootstrapping : A Survey (Revision of CentER DP 2011-064)," Discussion Paper 2013-064, Tilburg University, Center for Economic Research.
    2. Kleijnen, Jack P.C., 2014. "Response Surface Methodology," Other publications TiSEM 7f9f17ee-db7f-4041-a686-d, Tilburg University, School of Economics and Management.
    3. Gorissen, B.L., 2014. "Practical robust optimization techniques and improved inverse planning of HDR brachytherapy," Other publications TiSEM 931e020a-2486-4e12-9731-3, Tilburg University, School of Economics and Management.
    4. Bram L. Gorissen, 2015. "Robust Fractional Programming," Journal of Optimization Theory and Applications, Springer, vol. 166(2), pages 508-528, August.

  14. Angun, M.E. & Kleijnen, Jack P.C., 2012. "An asymptotic test of optimality conditions in multiresponse simulation optimization," Other publications TiSEM a69dfa59-b0e1-45bd-8cd6-a, Tilburg University, School of Economics and Management.

    Cited by:

    1. Charles Audet & Kwassi Joseph Dzahini & Michael Kokkolaras & Sébastien Le Digabel, 2021. "Stochastic mesh adaptive direct search for blackbox optimization using probabilistic estimates," Computational Optimization and Applications, Springer, vol. 79(1), pages 1-34, May.

  15. Kleijnen, Jack P.C. & Mehdad, E. & van Beers, W.C.M., 2012. "Convex and Monotonic Bootstrapped Kriging," Discussion Paper 2012-066, Tilburg University, Center for Economic Research.

    Cited by:

    1. Kleijnen, Jack P.C., 2013. "Simulation-Optimization via Kriging and Bootstrapping : A Survey (Revision of CentER DP 2011-064)," Discussion Paper 2013-064, Tilburg University, Center for Economic Research.

  16. Kleijnen, Jack P.C., 2011. "Ethical issues in engineering models : An operations researcher's reflections," Other publications TiSEM 88caba9e-1d78-47d7-9a0b-b, Tilburg University, School of Economics and Management.

    Cited by:

    1. P. Vemer & I. Corro Ramos & G. A. K. Voorn & M. J. Al & T. L. Feenstra, 2016. "AdViSHE: A Validation-Assessment Tool of Health-Economic Models for Decision Makers and Model Users," PharmacoEconomics, Springer, vol. 34(4), pages 349-361, April.

  17. Kleijnen, Jack P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2011. "Expected Improvement in Efficient Global Optimization Through Bootstrapped Kriging - Replaces CentER DP 2010-62," Discussion Paper 2011-015, Tilburg University, Center for Economic Research.

    Cited by:

    1. Felipe Viana & Raphael Haftka & Layne Watson, 2013. "Efficient global optimization algorithm assisted by multiple surrogate techniques," Journal of Global Optimization, Springer, vol. 56(2), pages 669-689, June.

  18. Kleijnen, Jack P.C. & Pierreval, H. & Zhang, J., 2011. "Methodology for determining the acceptability of system designs in uncertain environments," Other publications TiSEM e7680883-7f29-4452-9533-6, Tilburg University, School of Economics and Management.

    Cited by:

    1. Wen Shi & Xi Chen & Jennifer Shang, 2019. "An Efficient Morris Method-Based Framework for Simulation Factor Screening," INFORMS Journal on Computing, INFORMS, vol. 31(4), pages 745-770, October.
    2. Kleijnen, Jack P.C., 2017. "Regression and Kriging metamodels with their experimental designs in simulation: A review," European Journal of Operational Research, Elsevier, vol. 256(1), pages 1-16.
    3. Strang, Kenneth David, 2012. "Importance of verifying queue model assumptions before planning with simulation software," European Journal of Operational Research, Elsevier, vol. 218(2), pages 493-504.
    4. Borgonovo, E. & Smith, C.L., 2012. "Composite multilinearity, epistemic uncertainty and risk achievement worth," European Journal of Operational Research, Elsevier, vol. 222(2), pages 301-311.

  19. Kleijnen, Jack P.C. & Ridder, A.A.N. & Rubinstein, R.Y., 2010. "Variance Reduction Techniques in Monte Carlo Methods," Discussion Paper 2010-117, Tilburg University, Center for Economic Research.

    Cited by:

    1. Lingling Xu & Hongjie Zhang & Fu Lee Wang, 2023. "Pricing of Arithmetic Average Asian Option by Combining Variance Reduction and Quasi-Monte Carlo Method," Mathematics, MDPI, vol. 11(3), pages 1-14, January.

  20. Kleijnen, J.P.C. & Pierreval, H. & Zhang, J., 2009. "Methodology for Determining the Acceptability of Given Designs in Uncertain Environments," Discussion Paper 2009-3, Tilburg University, Center for Economic Research.

    Cited by:

    1. Dellino, G. & Kleijnen, Jack P.C. & Meloni, C., 2009. "Robust Optimization in Simulation : Taguchi and Krige Combined," Discussion Paper 2009-82, Tilburg University, Center for Economic Research.
    2. Kleijnen, Jack P.C. & Pierreval, H. & Zhang, J., 2009. "When is the design of a manufacturing system acceptable in the presence of uncertainty?," Other publications TiSEM 58fba7c4-8fd2-44d4-8ec3-f, Tilburg University, School of Economics and Management.

  21. Kleijnen, Jack P.C. & Pierreval, H. & Zhang, J., 2009. "When is the design of a manufacturing system acceptable in the presence of uncertainty?," Other publications TiSEM 58fba7c4-8fd2-44d4-8ec3-f, Tilburg University, School of Economics and Management.

    Cited by:

    1. Mirja Meyer & Marc-Thorsten Hütt & Julia Bendul, 2016. "The elementary flux modes of a manufacturing system: a novel approach to explore the relationship of network structure and function," International Journal of Production Research, Taylor & Francis Journals, vol. 54(14), pages 4145-4160, July.

  22. Dellino, G. & Kleijnen, Jack P.C. & Meloni, C., 2009. "Robust Optimization in Simulation : Taguchi and Krige Combined," Discussion Paper 2009-82, Tilburg University, Center for Economic Research.

    Cited by:

    1. Janis Janusevskis & Rodolphe Le Riche, 2013. "Simultaneous kriging-based estimation and optimization of mean response," Journal of Global Optimization, Springer, vol. 55(2), pages 313-336, February.

  23. Kleijnen, J.P.C., 2009. "Sensitivity Analysis of Simulation Models," Discussion Paper 2009-11, Tilburg University, Center for Economic Research.

    Cited by:

    1. Dellino, G. & Kleijnen, Jack P.C. & Meloni, C., 2009. "Robust Optimization in Simulation : Taguchi and Krige Combined," Discussion Paper 2009-82, Tilburg University, Center for Economic Research.

  24. Kleijnen, Jack P.C. & van Beers, W.C.M., 2009. "Monotonicity-Preserving Bootstrapped Kriging Metamodels for Expensive Simulations," Discussion Paper 2009-75, Tilburg University, Center for Economic Research.

    Cited by:

    1. Cousin, Areski & Maatouk, Hassan & Rullière, Didier, 2016. "Kriging of financial term-structures," European Journal of Operational Research, Elsevier, vol. 255(2), pages 631-648.
    2. Kleijnen, Jack P.C., 2017. "Regression and Kriging metamodels with their experimental designs in simulation: A review," European Journal of Operational Research, Elsevier, vol. 256(1), pages 1-16.

  25. Dellino, G. & Kleijnen, J.P.C. & Meloni, C., 2008. "Robust Optimization in Simulation : Taguchi and Response Surface Methodology," Discussion Paper 2008-69, Tilburg University, Center for Economic Research.

    Cited by:

    1. Julien Marzat & Eric Walter & Hélène Piet-Lahanier, 2013. "Worst-case global optimization of black-box functions through Kriging and relaxation," Journal of Global Optimization, Springer, vol. 55(4), pages 707-727, April.
    2. Dellino, G. & Kleijnen, Jack P.C. & Meloni, C., 2010. "Robust optimization in simulation : Taguchi and Response Surface Methodology," Other publications TiSEM 6a101dae-10b0-40af-815f-0, Tilburg University, School of Economics and Management.
    3. Nader, Joelle & El-Khalil, Raed & Nassar, Elma & Hong, Paul, 2022. "Pandemic planning, sustainability practices, and organizational performance: An empirical investigation of global manufacturing firms," International Journal of Production Economics, Elsevier, vol. 246(C).
    4. Denoyel, Victoire & Alfandari, Laurent & Thiele, Aurélie, 2017. "Optimizing healthcare network design under reference pricing and parameter uncertainty," European Journal of Operational Research, Elsevier, vol. 263(3), pages 996-1006.
    5. Saleem Ramadan, 2016. "A Hybrid Global Optimization Method Based on Genetic Algorithm and Shrinking Box," Modern Applied Science, Canadian Center of Science and Education, vol. 10(2), pages 1-67, February.
    6. Kleijnen, Jack P.C., 2011. "Ethical issues in engineering models : An operations researcher's reflections," Other publications TiSEM 88caba9e-1d78-47d7-9a0b-b, Tilburg University, School of Economics and Management.
    7. Iqra Asghar & Biswajit Sarkar & Sung-jun Kim, 2019. "Economic Analysis of an Integrated Production–Inventory System under Stochastic Production Capacity and Energy Consumption," Energies, MDPI, vol. 12(16), pages 1-27, August.
    8. Kleijnen, Jack P.C., 2013. "Simulation-Optimization via Kriging and Bootstrapping : A Survey (Revision of CentER DP 2011-064)," Discussion Paper 2013-064, Tilburg University, Center for Economic Research.
    9. Pourmohammadi, Pardis & Saif, Ahmed, 2023. "Robust metamodel-based simulation-optimization approaches for designing hybrid renewable energy systems," Applied Energy, Elsevier, vol. 341(C).
    10. Zhang, Wei & (Ato) Xu, Wangtu, 2017. "Simulation-based robust optimization for the schedule of single-direction bus transit route: The design of experiment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 203-230.
    11. Kleijnen, Jack P.C. & Pierreval, H. & Zhang, J., 2011. "Methodology for determining the acceptability of system designs in uncertain environments," Other publications TiSEM e7680883-7f29-4452-9533-6, Tilburg University, School of Economics and Management.
    12. Yaohui Li & Jingfang Shen & Ziliang Cai & Yizhong Wu & Shuting Wang, 2021. "A Kriging-Assisted Multi-Objective Constrained Global Optimization Method for Expensive Black-Box Functions," Mathematics, MDPI, vol. 9(2), pages 1-20, January.
    13. Shi, Wen & Liu, Zhixue & Shang, Jennifer & Cui, Yujia, 2013. "Multi-criteria robust design of a JIT-based cross-docking distribution center for an auto parts supply chain," European Journal of Operational Research, Elsevier, vol. 229(3), pages 695-706.
    14. Irfanullah Khan & Jihed Jemai & Han Lim & Biswajit Sarkar, 2019. "Effect of Electrical Energy on the Manufacturing Setup Cost Reduction, Transportation Discounts, and Process Quality Improvement in a Two-Echelon Supply Chain Management under a Service-Level Constrai," Energies, MDPI, vol. 12(19), pages 1-32, September.
    15. Dellino, G. & Laudadio, T. & Mari, R. & Mastronardi, N. & Meloni, C., 2018. "Microforecasting methods for fresh food supply chain management: A computational study," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 147(C), pages 100-120.
    16. Besseris, George J., 2012. "Profiling effects in industrial data mining by non-parametric DOE methods: An application on screening checkweighing systems in packaging operations," European Journal of Operational Research, Elsevier, vol. 220(1), pages 147-161.
    17. Kleijnen, J.P.C., 2008. "Design of Experiments : An Overview," Other publications TiSEM e05cfa13-127a-48c9-a5b6-7, Tilburg University, School of Economics and Management.
    18. Kleijnen, Jack P.C., 2014. "Response Surface Methodology," Other publications TiSEM 7f9f17ee-db7f-4041-a686-d, Tilburg University, School of Economics and Management.
    19. Pablo Dolado & Ana Lazaro & Monica Delgado & Conchita Peñalosa & Javier Mazo & Jose M. Marin & Belen Zalba, 2015. "An Approach to the Integrated Design of PCM-Air Heat Exchangers Based on Numerical Simulation: A Solar Cooling Case Study," Resources, MDPI, vol. 4(4), pages 1-23, October.
    20. Miranda, Rafael de Carvalho & Montevechi, José Arnaldo Barra & da Silva, Aneirson Francisco & Marins, Fernando Augusto Silva, 2017. "Increasing the efficiency in integer simulation optimization: Reducing the search space through data envelopment analysis and orthogonal arrays," European Journal of Operational Research, Elsevier, vol. 262(2), pages 673-681.

  26. Kleijnen, J.P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2008. "Constrained Optimization in Simulation : A Novel Approach," Discussion Paper 2008-95, Tilburg University, Center for Economic Research.

    Cited by:

    1. Kleijnen, Jack P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2011. "Expected Improvement in Efficient Global Optimization Through Bootstrapped Kriging - Replaces CentER DP 2010-62," Discussion Paper 2011-015, Tilburg University, Center for Economic Research.
    2. Zheng, Liang & Xue, Xinfeng & Xu, Chengcheng & Ran, Bin, 2019. "A stochastic simulation-based optimization method for equitable and efficient network-wide signal timing under uncertainties," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 287-308.
    3. Fani Boukouvala & M. M. Faruque Hasan & Christodoulos A. Floudas, 2017. "Global optimization of general constrained grey-box models: new method and its application to constrained PDEs for pressure swing adsorption," Journal of Global Optimization, Springer, vol. 67(1), pages 3-42, January.
    4. Kleijnen, Jack P.C. & Mehdad, E., 2014. "Multivariate Versus Univariate Kriging Metamodels for Multi-Response Simulation Models (Revision of 2012-039)," Other publications TiSEM 8a096696-f700-4cbe-9474-c, Tilburg University, School of Economics and Management.
    5. Kleijnen, Jack P.C. & Mehdad, E., 2012. "Kriging in Multi-response Simulation, including a Monte Carlo Laboratory (Replaced by 2014-012)," Discussion Paper 2012-039, Tilburg University, Center for Economic Research.
    6. Arreola-Risa, Antonio & Giménez-García, Víctor M. & Martínez-Parra, José Luis, 2011. "Optimizing stochastic production-inventory systems: A heuristic based on simulation and regression analysis," European Journal of Operational Research, Elsevier, vol. 213(1), pages 107-118, August.
    7. Carolina Osorio & Michel Bierlaire, 2013. "A Simulation-Based Optimization Framework for Urban Transportation Problems," Operations Research, INFORMS, vol. 61(6), pages 1333-1345, December.
    8. Dhahri, Akrem & Gharbi, Ali & Ouhimmou, Mustapha, 2022. "Integrated production-delivery control policy for an unreliable manufacturing system and multiple retailers," International Journal of Production Economics, Elsevier, vol. 245(C).
    9. Hernandez, Andres F. & Grover, Martha A., 2013. "Error estimation properties of Gaussian process models in stochastic simulations," European Journal of Operational Research, Elsevier, vol. 228(1), pages 131-140.
    10. Kleijnen, Jack P.C., 2013. "Simulation-Optimization via Kriging and Bootstrapping : A Survey (Revision of CentER DP 2011-064)," Discussion Paper 2013-064, Tilburg University, Center for Economic Research.
    11. Zhongshun Shi & Siyang Gao & Hui Xiao & Weiwei Chen, 2019. "A worst‐case formulation for constrained ranking and selection with input uncertainty," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(8), pages 648-662, December.
    12. Tsai, Shing Chih & Fu, Sheng Yang, 2014. "Genetic-algorithm-based simulation optimization considering a single stochastic constraint," European Journal of Operational Research, Elsevier, vol. 236(1), pages 113-125.
    13. Peter I. Frazier, 2014. "A Fully Sequential Elimination Procedure for Indifference-Zone Ranking and Selection with Tight Bounds on Probability of Correct Selection," Operations Research, INFORMS, vol. 62(4), pages 926-942, August.
    14. Kleijnen, Jack P.C., 2017. "Regression and Kriging metamodels with their experimental designs in simulation: A review," European Journal of Operational Research, Elsevier, vol. 256(1), pages 1-16.
    15. E Angün & J Kleijnen & D den Hertog & G Gürkan, 2009. "Response surface methodology with stochastic constraints for expensive simulation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(6), pages 735-746, June.
    16. Kleijnen, J.P.C., 2008. "Design of Experiments : An Overview," Other publications TiSEM e05cfa13-127a-48c9-a5b6-7, Tilburg University, School of Economics and Management.
    17. Kabirian, Alireza & Ólafsson, Sigurdur, 2011. "Continuous optimization via simulation using Golden Region search," European Journal of Operational Research, Elsevier, vol. 208(1), pages 19-27, January.
    18. Hainan Guo & Haobin Gu & Yu Zhou & Jiaxuan Peng, 2022. "A data-driven multi-fidelity simulation optimization for medical staff configuration at an emergency department in Hong Kong," Flexible Services and Manufacturing Journal, Springer, vol. 34(2), pages 238-262, June.
    19. Carolina Osorio & Linsen Chong, 2015. "A Computationally Efficient Simulation-Based Optimization Algorithm for Large-Scale Urban Transportation Problems," Transportation Science, INFORMS, vol. 49(3), pages 623-636, August.
    20. Nikolaos Ploskas & Nikolaos V. Sahinidis, 2022. "Review and comparison of algorithms and software for mixed-integer derivative-free optimization," Journal of Global Optimization, Springer, vol. 82(3), pages 433-462, March.
    21. Boukouvala, Fani & Misener, Ruth & Floudas, Christodoulos A., 2016. "Global optimization advances in Mixed-Integer Nonlinear Programming, MINLP, and Constrained Derivative-Free Optimization, CDFO," European Journal of Operational Research, Elsevier, vol. 252(3), pages 701-727.
    22. Miranda, Rafael de Carvalho & Montevechi, José Arnaldo Barra & da Silva, Aneirson Francisco & Marins, Fernando Augusto Silva, 2017. "Increasing the efficiency in integer simulation optimization: Reducing the search space through data envelopment analysis and orthogonal arrays," European Journal of Operational Research, Elsevier, vol. 262(2), pages 673-681.
    23. Osorio, Carolina, 2019. "High-dimensional offline origin-destination (OD) demand calibration for stochastic traffic simulators of large-scale road networks," Transportation Research Part B: Methodological, Elsevier, vol. 124(C), pages 18-43.
    24. Othmane Benmoussa, 2022. "Improving Replenishment Flows Using Simulation Results: A Case Study," Logistics, MDPI, vol. 6(2), pages 1-26, May.
    25. Strang, Kenneth David, 2012. "Importance of verifying queue model assumptions before planning with simulation software," European Journal of Operational Research, Elsevier, vol. 218(2), pages 493-504.
    26. Kleijnen, Jack P.C. & Mehdad, Ehsan, 2014. "Multivariate versus univariate Kriging metamodels for multi-response simulation models," European Journal of Operational Research, Elsevier, vol. 236(2), pages 573-582.

  27. Kleijnen, J.P.C., 2008. "Design of Experiments : An Overview," Discussion Paper 2008-70, Tilburg University, Center for Economic Research.

    Cited by:

    1. Lee, Juseong & Mitici, Mihaela, 2022. "Multi-objective design of aircraft maintenance using Gaussian process learning and adaptive sampling," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).

  28. Kleijnen, J.P.C. & van Schaik, F.D.J., 2007. "Sealed-Bid Auction of Dutch Mussels : Statistical Analysis," Discussion Paper 2007-83, Tilburg University, Center for Economic Research.

    Cited by:

    1. Dirk Bergemann & Johannes Horner, 2010. "Should Auctions be Transparent?," Cowles Foundation Discussion Papers 1764, Cowles Foundation for Research in Economics, Yale University.

  29. Kleijnen, J.P.C., 2007. "Kriging Metamodeling in Simulation : A Review," Discussion Paper 2007-13, Tilburg University, Center for Economic Research.

    Cited by:

    1. Cédric Durantin & Julien Marzat & Mathieu Balesdent, 2016. "Analysis of multi-objective Kriging-based methods for constrained global optimization," Computational Optimization and Applications, Springer, vol. 63(3), pages 903-926, April.
    2. Wu, Xu & Kozlowski, Tomasz & Meidani, Hadi, 2018. "Kriging-based inverse uncertainty quantification of nuclear fuel performance code BISON fission gas release model using time series measurement data," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 422-436.
    3. Palar, Pramudita Satria & Zuhal, Lavi Rizki & Shimoyama, Koji, 2023. "Enhancing the explainability of regression-based polynomial chaos expansion by Shapley additive explanations," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    4. Fani Boukouvala & M. M. Faruque Hasan & Christodoulos A. Floudas, 2017. "Global optimization of general constrained grey-box models: new method and its application to constrained PDEs for pressure swing adsorption," Journal of Global Optimization, Springer, vol. 67(1), pages 3-42, January.
    5. Olson, Sterling S. & Su, Jack C.P. & Silva, H. & Chartrand, Chris C. & Roberts, Jesse D., 2021. "Turbulence-parameter estimation for current-energy converters using surrogate model optimization," Renewable Energy, Elsevier, vol. 168(C), pages 559-567.
    6. Song, Wenjing & Han, Ke & Wang, Yiou & Friesz, Terry L. & del Castillo, Enrique, 2018. "Statistical metamodeling of dynamic network loading," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 740-756.
    7. Reis dos Santos, M. Isabel & Reis dos Santos, Pedro M., 2016. "Switching regression metamodels in stochastic simulation," European Journal of Operational Research, Elsevier, vol. 251(1), pages 142-147.
    8. J.-J. Sinou & L. Nechak & S. Besset, 2018. "Kriging Metamodeling in Rotordynamics: Application for Predicting Critical Speeds and Vibrations of a Flexible Rotor," Complexity, Hindawi, vol. 2018, pages 1-26, March.
    9. Awad, Mahmoud, 2017. "Analyzing sensitivity measures using moment-matching technique," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 90-99.
    10. Bettonvil, B.W.M. & Del Castillo, E. & Kleijnen, J.P.C., 2007. "Statistical Testing of Optimality Conditions in Multiresponse Simulation-based Optimization (Revision of 2005-81)," Discussion Paper 2007-45, Tilburg University, Center for Economic Research.
    11. Troost, Christian & Berger, Thomas, 2015. "Process-based simulation of regional agricultural supply functions in Southwestern Germany using farm-level and agent-based models," 2015 Conference, August 9-14, 2015, Milan, Italy 211929, International Association of Agricultural Economists.
    12. G. Dosi & M. C. Pereira & M. E. Virgillito, 2018. "On the robustness of the fat-tailed distribution of firm growth rates: a global sensitivity analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 173-193, April.
    13. Mert Edali, 2022. "Pattern‐oriented analysis of system dynamics models via random forests," System Dynamics Review, System Dynamics Society, vol. 38(2), pages 135-166, April.
    14. Shang, Linmei & Wang, Jifeng & Schäfer, David & Heckelei, Thomas & Gall, Juergen & Appel, Franziska & Storm, Hugo, 2024. "Surrogate modelling of a detailed farm‐level model using deep learning," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 75(1), pages 235-260.
    15. Turati, Pietro & Pedroni, Nicola & Zio, Enrico, 2017. "Simulation-based exploration of high-dimensional system models for identifying unexpected events," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 317-330.
    16. Gaofeng Jia & Alexandros A. Taflanidis & Norberto C. Nadal-Caraballo & Jeffrey A. Melby & Andrew B. Kennedy & Jane M. Smith, 2016. "Surrogate modeling for peak or time-dependent storm surge prediction over an extended coastal region using an existing database of synthetic storms," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 909-938, March.
    17. Kleijnen, Jack P.C., 2013. "Simulation-Optimization via Kriging and Bootstrapping : A Survey (Revision of CentER DP 2011-064)," Discussion Paper 2013-064, Tilburg University, Center for Economic Research.
    18. Xiao, Qian & Xu, Hongquan, 2021. "A mapping-based universal Kriging model for order-of-addition experiments in drug combination studies," Computational Statistics & Data Analysis, Elsevier, vol. 157(C).
    19. Tian, Wei & Song, Jitian & Li, Zhanyong & de Wilde, Pieter, 2014. "Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis," Applied Energy, Elsevier, vol. 135(C), pages 320-328.
    20. Scott L. Rosen & Christopher P. Saunders & Samar K Guharay, 2015. "A Structured Approach for Rapidly Mapping Multilevel System Measures via Simulation Metamodeling," Systems Engineering, John Wiley & Sons, vol. 18(1), pages 87-101, January.
    21. Kleijnen, J.P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2008. "Constrained Optimization in Simulation : A Novel Approach," Other publications TiSEM e49ba0fc-853c-4a13-b564-d, Tilburg University, School of Economics and Management.
    22. Zitrou, Athena & Bedford, Tim & Walls, Lesley, 2016. "A model for availability growth with application to new generation offshore wind farms," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 83-94.
    23. Buzzard, Gregery T., 2012. "Global sensitivity analysis using sparse grid interpolation and polynomial chaos," Reliability Engineering and System Safety, Elsevier, vol. 107(C), pages 82-89.
    24. Morales-Enciso, Sergio & Branke, Juergen, 2015. "Tracking global optima in dynamic environments with efficient global optimization," European Journal of Operational Research, Elsevier, vol. 242(3), pages 744-755.
    25. Zhang, Wei & (Ato) Xu, Wangtu, 2017. "Simulation-based robust optimization for the schedule of single-direction bus transit route: The design of experiment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 203-230.
    26. Shen, Xingkeng & Feng, Kaixuan & Xu, Heming & Wang, Guangqiang & Zhang, Yishang & Dai, Ying & Yun, Wanying, 2023. "Reliability analysis of bending fatigue life of hydraulic pipeline," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    27. Linmei Shang & Jifeng Wang & David Schäfer & Thomas Heckelei & Juergen Gall & Franziska Appel & Hugo Storm, 2024. "Surrogate modelling of a detailed farm‐level model using deep learning," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 235-260, February.
    28. Aikaterini P. Kyprioti & Alexandros A. Taflanidis & Norberto C. Nadal-Caraballo & Madison O. Campbell, 2021. "Incorporation of sea level rise in storm surge surrogate modeling," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(1), pages 531-563, January.
    29. Daniel J Klein & Michael Baym & Philip Eckhoff, 2014. "The Separatrix Algorithm for Synthesis and Analysis of Stochastic Simulations with Applications in Disease Modeling," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-10, July.
    30. Dawei Zhan & Huanlai Xing, 2020. "Expected improvement for expensive optimization: a review," Journal of Global Optimization, Springer, vol. 78(3), pages 507-544, November.
    31. Mohammadi, Hossein & Challenor, Peter & Goodfellow, Marc, 2019. "Emulating dynamic non-linear simulators using Gaussian processes," Computational Statistics & Data Analysis, Elsevier, vol. 139(C), pages 178-196.
    32. Kleijnen, Jack P.C., 2017. "Regression and Kriging metamodels with their experimental designs in simulation: A review," European Journal of Operational Research, Elsevier, vol. 256(1), pages 1-16.
    33. Jalali, Hamed & Van Nieuwenhuyse, Inneke & Picheny, Victor, 2017. "Comparison of Kriging-based algorithms for simulation optimization with heterogeneous noise," European Journal of Operational Research, Elsevier, vol. 261(1), pages 279-301.
    34. Bettonvil, Bert & del Castillo, Enrique & Kleijnen, Jack P.C., 2009. "Statistical testing of optimality conditions in multiresponse simulation-based optimization," European Journal of Operational Research, Elsevier, vol. 199(2), pages 448-458, December.
    35. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2022. "A complexity view on the future of work. Meta-modelling exploration of the multi-sector K+S agent based model," LEM Papers Series 2022/22, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    36. Xuefei Lu & Alessandro Rudi & Emanuele Borgonovo & Lorenzo Rosasco, 2020. "Faster Kriging: Facing High-Dimensional Simulators," Operations Research, INFORMS, vol. 68(1), pages 233-249, January.
    37. Zhao, Zhao & Lu, Zhao-Hui & Zhang, Xuan-Yi & Zhao, Yan-Gang, 2022. "A nested single-loop Kriging model coupled with subset simulation for time-dependent system reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    38. Cheng Li & Siyang Gao & Jianzhong Du, 2023. "Convergence Analysis of Stochastic Kriging-Assisted Simulation with Random Covariates," INFORMS Journal on Computing, INFORMS, vol. 35(2), pages 386-402, March.
    39. Echard, B. & Gayton, N. & Lemaire, M. & Relun, N., 2013. "A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 232-240.
    40. Joan Davins-Valldaura & Saïd Moussaoui & Guillermo Pita-Gil & Franck Plestan, 2017. "ParEGO extensions for multi-objective optimization of expensive evaluation functions," Journal of Global Optimization, Springer, vol. 67(1), pages 79-96, January.
    41. Xin Yun & L. Jeff Hong & Guangxin Jiang & Shouyang Wang, 2019. "On gamma estimation via matrix kriging," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(5), pages 393-410, August.
    42. Barry ANDERSON & Emanuele BORGONOVO & Marzio GALEOTTI & Roberto ROSON, 2012. "Uncertainty in climate change modelling: can global sensitivity analysis be of help?," Departmental Working Papers 2012-18, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    43. Wang, Zequn & Wang, Pingfeng, 2015. "A double-loop adaptive sampling approach for sensitivity-free dynamic reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 346-356.
    44. Sun, Zhili & Wang, Jian & Li, Rui & Tong, Cao, 2017. "LIF: A new Kriging based learning function and its application to structural reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 152-165.
    45. Wei, Pengfei & Lu, Zhenzhou & Song, Jingwen, 2015. "Variable importance analysis: A comprehensive review," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 399-432.
    46. Didier Rullière & Alaeddine Faleh & Frédéric Planchet & Wassim Youssef, 2013. "Exploring or reducing noise? A global optimization algorithm in the presence of noise," Post-Print hal-00759677, HAL.
    47. Rommel Regis & Christine Shoemaker, 2013. "A quasi-multistart framework for global optimization of expensive functions using response surface models," Journal of Global Optimization, Springer, vol. 56(4), pages 1719-1753, August.
    48. Baquela, Enrique Gabriel & Olivera, Ana Carolina, 2019. "A novel hybrid multi-objective metamodel-based evolutionary optimization algorithm," Operations Research Perspectives, Elsevier, vol. 6(C).
    49. Song, Zhouzhou & Zhang, Hanyu & Liu, Zhao & Zhu, Ping, 2023. "A two-stage Kriging estimation variance reduction method for efficient time-variant reliability-based design optimization," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    50. Puppo, L. & Pedroni, N. & Maio, F. Di & Bersano, A. & Bertani, C. & Zio, E., 2021. "A Framework based on Finite Mixture Models and Adaptive Kriging for Characterizing Non-Smooth and Multimodal Failure Regions in a Nuclear Passive Safety System," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    51. J P C Kleijnen & W C M van Beers, 2013. "Monotonicity-preserving bootstrapped Kriging metamodels for expensive simulations," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(5), pages 708-717, May.
    52. Kabirian, Alireza & Ólafsson, Sigurdur, 2011. "Continuous optimization via simulation using Golden Region search," European Journal of Operational Research, Elsevier, vol. 208(1), pages 19-27, January.
    53. Liu, Zicheng & Lesselier, Dominique & Sudret, Bruno & Wiart, Joe, 2020. "Surrogate modeling based on resampled polynomial chaos expansions," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    54. Gaofeng Jia & Alexandros Taflanidis & Norberto Nadal-Caraballo & Jeffrey Melby & Andrew Kennedy & Jane Smith, 2016. "Surrogate modeling for peak or time-dependent storm surge prediction over an extended coastal region using an existing database of synthetic storms," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 909-938, March.
    55. Yue Huan & Yubin Tian & Dianpeng Wang, 2022. "A Weighted Surrogate Model for Spatio-Temporal Dynamics with Multiple Time Spans: Applications for the Pollutant Concentration of the Bai River," Mathematics, MDPI, vol. 10(19), pages 1-16, October.
    56. Xiaoming Zhang & Tao Yang & Zhenyuan Chang & Liang Xu & Lei Xi & Jianmin Gao & Penggang Zheng & Ran Xu, 2024. "Multi-Objective Optimization of the Microchannel Heat Sink Used for Combustor of the Gas Turbine," Energies, MDPI, vol. 17(4), pages 1-18, February.
    57. Mauro Napoletano & Eric Guerci & Nobuyuki Hanaki, 2018. "Recent advances in financial networks and agent-based model validation," Post-Print hal-02299235, HAL.
    58. Menafoglio, Alessandra & Secchi, Piercesare, 2017. "Statistical analysis of complex and spatially dependent data: A review of Object Oriented Spatial Statistics," European Journal of Operational Research, Elsevier, vol. 258(2), pages 401-410.
    59. Wu, Zeping & Wang, Donghui & Okolo N, Patrick & Hu, Fan & Zhang, Weihua, 2016. "Global sensitivity analysis using a Gaussian Radial Basis Function metamodel," Reliability Engineering and System Safety, Elsevier, vol. 154(C), pages 171-179.
    60. Mehdad, E. & Kleijnen, Jack P.C., 2014. "Classic Kriging versus Kriging with Bootstrapping or Conditional Simulation : Classic Kriging's Robust Confidence Intervals and Optimization (Revised version of CentER DP 2013-038)," Discussion Paper 2014-076, Tilburg University, Center for Economic Research.
    61. Stephen Ntiri Asomani & Jianping Yuan & Longyan Wang & Desmond Appiah & Kofi Asamoah Adu-Poku, 2020. "The Impact of Surrogate Models on the Multi-Objective Optimization of Pump-As-Turbine (PAT)," Energies, MDPI, vol. 13(9), pages 1-29, May.
    62. Liu, Yushan & Li, Luyi & Zhao, Sihan & Song, Shufang, 2021. "A global surrogate model technique based on principal component analysis and Kriging for uncertainty propagation of dynamic systems," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    63. Mert Edali & Gönenç Yücel, 2020. "Analysis of an individual‐based influenza epidemic model using random forest metamodels and adaptive sequential sampling," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(6), pages 936-958, November.
    64. Borgonovo, Emanuele & Plischke, Elmar, 2016. "Sensitivity analysis: A review of recent advances," European Journal of Operational Research, Elsevier, vol. 248(3), pages 869-887.
    65. Zio, E., 2018. "The future of risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 176-190.
    66. Cremona, Marzia A. & Liu, Binbin & Hu, Yang & Bruni, Stefano & Lewis, Roger, 2016. "Predicting railway wheel wear under uncertainty of wear coefficient, using universal kriging," Reliability Engineering and System Safety, Elsevier, vol. 154(C), pages 49-59.
    67. Cangyu Li & Xinhui Wang & Mingzhou Qin, 2021. "Spatial variability of soil nutrients in seasonal rivers: A case study from the Guo River Basin, China," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-19, March.
    68. Lwandile Nduku & Cilence Munghemezulu & Zinhle Mashaba-Munghemezulu & Wonga Masiza & Phathutshedzo Eugene Ratshiedana & Ahmed Mukalazi Kalumba & Johannes George Chirima, 2024. "Field-Scale Winter Wheat Growth Prediction Applying Machine Learning Methods with Unmanned Aerial Vehicle Imagery and Soil Properties," Land, MDPI, vol. 13(3), pages 1-26, February.
    69. Liang Pei & Chunhui Wang & Liying Sun & Lili Wang, 2022. "Temporal and Spatial Variation (2001–2020) Characteristics of Wind Speed in the Water Erosion Area of the Typical Black Soil Region, Northeast China," IJERPH, MDPI, vol. 19(17), pages 1-17, August.
    70. Bozağaç, Doruk & Batmaz, İnci & Oğuztüzün, Halit, 2016. "Dynamic simulation metamodeling using MARS: A case of radar simulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 124(C), pages 69-86.
    71. Zitrou, A. & Bedford, T. & Daneshkhah, A., 2013. "Robustness of maintenance decisions: Uncertainty modelling and value of information," Reliability Engineering and System Safety, Elsevier, vol. 120(C), pages 60-71.
    72. Lecompte, Steven & Gusev, Sergei & Vanslambrouck, Bruno & De Paepe, Michel, 2018. "Experimental results of a small-scale organic Rankine cycle: Steady state identification and application to off-design model validation," Applied Energy, Elsevier, vol. 226(C), pages 82-106.
    73. Bing Wang & Jiaqiao Hu, 2018. "Some Monotonicity Results for Stochastic Kriging Metamodels in Sequential Settings," INFORMS Journal on Computing, INFORMS, vol. 30(2), pages 278-294, May.
    74. Strang, Kenneth David, 2012. "Importance of verifying queue model assumptions before planning with simulation software," European Journal of Operational Research, Elsevier, vol. 218(2), pages 493-504.
    75. Wen, Zhixun & Pei, Haiqing & Liu, Hai & Yue, Zhufeng, 2016. "A Sequential Kriging reliability analysis method with characteristics of adaptive sampling regions and parallelizability," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 170-179.
    76. Plischke, Elmar & Borgonovo, Emanuele & Smith, Curtis L., 2013. "Global sensitivity measures from given data," European Journal of Operational Research, Elsevier, vol. 226(3), pages 536-550.
    77. Zilong Wang & Marianthi Ierapetritou, 2018. "Surrogate-based feasibility analysis for black-box stochastic simulations with heteroscedastic noise," Journal of Global Optimization, Springer, vol. 71(4), pages 957-985, August.
    78. Satyajith Amaran & Nikolaos V. Sahinidis & Bikram Sharda & Scott J. Bury, 2016. "Simulation optimization: a review of algorithms and applications," Annals of Operations Research, Springer, vol. 240(1), pages 351-380, May.
    79. Hu, Yingshi & Lu, Zhenzhou & Jiang, Xia & Wei, Ning & Zhou, Changcong, 2021. "Time-dependent structural system reliability analysis model and its efficiency solution," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    80. Guan, Xuefei, 2024. "Sparse moment quadrature for uncertainty modeling and quantification," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    81. Jesús Martínez-Frutos & David Herrero-Pérez, 2016. "Kriging-based infill sampling criterion for constraint handling in multi-objective optimization," Journal of Global Optimization, Springer, vol. 64(1), pages 97-115, January.
    82. Gaspar, B. & Teixeira, A.P. & Guedes Soares, C., 2017. "Adaptive surrogate model with active refinement combining Kriging and a trust region method," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 277-291.
    83. Xiong, Yifang & Sampath, Suresh, 2021. "A fast-convergence algorithm for reliability analysis based on the AK-MCS," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    84. Kleijnen, Jack P.C. & Beers, Wim van & Nieuwenhuyse, Inneke van, 2010. "Constrained optimization in expensive simulation: Novel approach," European Journal of Operational Research, Elsevier, vol. 202(1), pages 164-174, April.
    85. I. Tsoukalas & C. Makropoulos, 2015. "A Surrogate Based Optimization Approach for the Development of Uncertainty-Aware Reservoir Operational Rules: the Case of Nestos Hydrosystem," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(13), pages 4719-4734, October.
    86. Lamoureux, Benjamin & Mechbal, Nazih & Massé, Jean-Rémi, 2014. "A combined sensitivity analysis and kriging surrogate modeling for early validation of health indicators," Reliability Engineering and System Safety, Elsevier, vol. 130(C), pages 12-26.
    87. Craig A Williams & Kyle C A Wedgwood & Hossein Mohammadi & Katie Prouse & Owen W Tomlinson & Krasimira Tsaneva-Atanasova, 2019. "Cardiopulmonary responses to maximal aerobic exercise in patients with cystic fibrosis," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-21, February.

  30. Kleijnen, J.P.C., 2006. "White Noise Assumptions Revisited : Regression Models and Statistical Designs for Simulation Practice," Discussion Paper 2006-50, Tilburg University, Center for Economic Research.

    Cited by:

    1. Kleijnen, J.P.C., 2007. "Simulation Experiments in Practice : Statistical Design and Regression Analysis," Other publications TiSEM d4bee6b0-7a00-4695-85ed-6, Tilburg University, School of Economics and Management.
    2. Kleijnen, J.P.C., 2006. "Generalized Response Surface Methodology : A New Metaheuristic," Other publications TiSEM 9a11fb77-d2e1-4c6e-8bba-0, Tilburg University, School of Economics and Management.

  31. Kleijnen, J.P.C. & Wan, J., 2006. "Optimization of Simulated Inventory Systems : OptQuest and Alternatives," Discussion Paper 2006-75, Tilburg University, Center for Economic Research.

    Cited by:

    1. Kleijnen, J.P.C., 2006. "Generalized Response Surface Methodology : A New Metaheuristic," Other publications TiSEM 9a11fb77-d2e1-4c6e-8bba-0, Tilburg University, School of Economics and Management.

  32. Kleijnen, J.P.C., 2004. "An Overview of the Design and Analysis of Simulation Experiments for Sensitivity Analysis," Discussion Paper 2004-16, Tilburg University, Center for Economic Research.

    Cited by:

    1. Hawre Jalal & Bryan Dowd & François Sainfort & Karen M. Kuntz, 2013. "Linear Regression Metamodeling as a Tool to Summarize and Present Simulation Model Results," Medical Decision Making, , vol. 33(7), pages 880-890, October.
    2. Hachicha, Wafik & Ammeri, Ahmed & Masmoudi, Faouzi & Chachoub, Habib, 2010. "A comprehensive literature classification of simulation optimisation methods," MPRA Paper 27652, University Library of Munich, Germany.
    3. Prashank Kansal & Pramod Kasturi & Nam H. Kim & Seung-gyo Jang, 2017. "Sensitivity-Based Reliability Analysis of MEMS Acceleration Switch," Modern Applied Science, Canadian Center of Science and Education, vol. 11(10), pages 123-123, October.
    4. Wen-Shiung Lee, 2013. "Merger and acquisition evaluation and decision making model," The Service Industries Journal, Taylor & Francis Journals, vol. 33(15-16), pages 1473-1494, December.
    5. S J E Taylor & T Eldabi & G Riley & R J Paul & M Pidd, 2009. "Simulation modelling is 50! Do we need a reality check?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 69-82, May.
    6. Iooss, Bertrand & Van Dorpe, François & Devictor, Nicolas, 2006. "Response surfaces and sensitivity analyses for an environmental model of dose calculations," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1241-1251.
    7. Borgonovo, E., 2007. "A new uncertainty importance measure," Reliability Engineering and System Safety, Elsevier, vol. 92(6), pages 771-784.
    8. Scott L. Rosen & Christopher P. Saunders & Samar K Guharay, 2015. "A Structured Approach for Rapidly Mapping Multilevel System Measures via Simulation Metamodeling," Systems Engineering, John Wiley & Sons, vol. 18(1), pages 87-101, January.
    9. Hamad, Husam & Al-Hamdan, Sami, 2007. "Discovering metamodels' quality-of-fit for simulation via graphical techniques," European Journal of Operational Research, Elsevier, vol. 178(2), pages 543-559, April.
    10. Daniel J Klein & Michael Baym & Philip Eckhoff, 2014. "The Separatrix Algorithm for Synthesis and Analysis of Stochastic Simulations with Applications in Disease Modeling," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-10, July.
    11. Gradov, Dmitry Vladimirovich & Yusuf, Yusuf Oluwatoki & Ohjainen, Jussi & Suuronen, Jarkko & Eskola, Roope & Roininen, Lassi & Koiranen, Tuomas, 2022. "Modelling of a continuous veneer drying unit of industrial scale and model-based ANOVA of the energy efficiency," Energy, Elsevier, vol. 244(PA).
    12. Lu, Xuefei & Borgonovo, Emanuele, 2023. "Global sensitivity analysis in epidemiological modeling," European Journal of Operational Research, Elsevier, vol. 304(1), pages 9-24.
    13. Kleijnen, Jack P.C., 2017. "Regression and Kriging metamodels with their experimental designs in simulation: A review," European Journal of Operational Research, Elsevier, vol. 256(1), pages 1-16.
    14. Scott, Michael J. & Daly, Don S. & Zhou, Yuyu & Rice, Jennie S. & Patel, Pralit L. & McJeon, Haewon C. & Page Kyle, G. & Kim, Son H. & Eom, Jiyong & Clarke, Leon E., 2014. "Evaluating sub-national building-energy efficiency policy options under uncertainty: Efficient sensitivity testing of alternative climate, technological, and socioeconomic futures in a regional integr," Energy Economics, Elsevier, vol. 43(C), pages 22-33.
    15. Shi, Wen & Liu, Zhixue & Shang, Jennifer & Cui, Yujia, 2013. "Multi-criteria robust design of a JIT-based cross-docking distribution center for an auto parts supply chain," European Journal of Operational Research, Elsevier, vol. 229(3), pages 695-706.
    16. Collan, Mikael, 2004. "Giga-Investments: Modelling the Valuation of Very Large Industrial Real Investments," MPRA Paper 4328, University Library of Munich, Germany.
    17. Y. Yang & L. Wang, 2010. "A Review of Modelling Tools for Implementation of the EU Water Framework Directive in Handling Diffuse Water Pollution," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(9), pages 1819-1843, July.
    18. Happe, Kathrin & Kellermann, Konrad, 2007. "DIESE MODELLE SIND ZU KOMPLEX!-ODER DOCH NICHT?: EXPERIMENTELLES DESIGN UND METAMODELLIERUNG ALS MOGLICHER WEG, DAS KOMMUNIKATIONSPROBLEM AGENTENBASIERTER MODELLE IN DER POLITIKANALYSE ZU LOSEN (Germa," 47th Annual Conference, Weihenstephan, Germany, September 26-28, 2007 7613, German Association of Agricultural Economists (GEWISOLA).
    19. Dachuan Shih & Seoung Kim & Victoria Chen & Jay Rosenberger & Venkata Pilla, 2014. "Efficient computer experiment-based optimization through variable selection," Annals of Operations Research, Springer, vol. 216(1), pages 287-305, May.
    20. Marco Aurélio de Oliveira & Antonio Schalata Pacheco & André Hideto Futami & Luiz Veriano Oliveira Dalla Valentina & Carlos Alberto Flesch, 2023. "Self‐organizing maps and Bayesian networks in organizational modelling: A case study in innovation projects management," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(1), pages 61-87, January.
    21. Amirhossein Eshraghi & Gholamreza Salehi & Seyedmohammadreza Heibati & Kamran Lari, 2019. "Developing operation of combined cooling, heat, and power system based on energy hub in a micro-energy grid: The application of energy storages," Energy & Environment, , vol. 30(8), pages 1356-1379, December.
    22. Parviz Mohamadzadeh & Samereh Pourmoradian & Bakhtiar Feizizadeh & Ayyoob Sharifi & Mathias Vogdrup-Schmidt, 2020. "A GIS-Based Approach for Spatially-Explicit Sustainable Development Assessments in East Azerbaijan Province, Iran," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    23. Tian, Wei, 2013. "A review of sensitivity analysis methods in building energy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 411-419.
    24. Edward Radosiński & Łukasz Radosiński, 2018. "Verification of a model as a scientific tool of operations research – a methodological approach," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 28(3), pages 45-62.
    25. Zhai, Qingqing & Yang, Jun & Xie, Min & Zhao, Yu, 2014. "Generalized moment-independent importance measures based on Minkowski distance," European Journal of Operational Research, Elsevier, vol. 239(2), pages 449-455.
    26. Vieira Jr., Hélcio & Sanchez, Susan & Kienitz, Karl Heinz & Belderrain, Mischel Carmen Neyra, 2011. "Generating and improving orthogonal designs by using mixed integer programming," European Journal of Operational Research, Elsevier, vol. 215(3), pages 629-638, December.
    27. Strang, Kenneth David, 2012. "Importance of verifying queue model assumptions before planning with simulation software," European Journal of Operational Research, Elsevier, vol. 218(2), pages 493-504.
    28. Plischke, Elmar & Borgonovo, Emanuele & Smith, Curtis L., 2013. "Global sensitivity measures from given data," European Journal of Operational Research, Elsevier, vol. 226(3), pages 536-550.
    29. Leme, Rafael C. & Paiva, Anderson P. & Steele Santos, Paulo E. & Balestrassi, Pedro P. & Galvão, Leandro de Lima, 2014. "Design of experiments applied to environmental variables analysis in electricity utilities efficiency: The Brazilian case," Energy Economics, Elsevier, vol. 45(C), pages 111-119.
    30. Zengqing Wu & Run Peng & Xu Han & Shuyuan Zheng & Yixin Zhang & Chuan Xiao, 2023. "Smart Agent-Based Modeling: On the Use of Large Language Models in Computer Simulations," Papers 2311.06330, arXiv.org, revised Dec 2023.
    31. Marrel, Amandine & Iooss, Bertrand & Van Dorpe, François & Volkova, Elena, 2008. "An efficient methodology for modeling complex computer codes with Gaussian processes," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4731-4744, June.
    32. Happe, Kathrin & Kellermann, Konrad & Balmann, Alfons, 2006. "Agent-based analysis of agricultural policies: An illustration of the agricultural policy simulator AgriPoliS, its adaptation and behavior," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 11(1).
    33. Pengfei Wei & Zhenzhou Lu & Jingwen Song, 2014. "Moment‐Independent Sensitivity Analysis Using Copula," Risk Analysis, John Wiley & Sons, vol. 34(2), pages 210-222, February.

  33. Kleijnen, J.P.C., 2004. "Design and Analysis of Monte Carlo Experiments," Discussion Paper 2004-17, Tilburg University, Center for Economic Research.

    Cited by:

    1. Schaefer Kurt C & Anderson Michael A & Ferrantino Michael J, 2008. "Monte Carlo Appraisals of Gravity Model Specifications," Global Economy Journal, De Gruyter, vol. 8(1), pages 1-26, February.
    2. Kleijnen, J.P.C., 2004. "An Overview of the Design and Analysis of Simulation Experiments for Sensitivity Analysis," Discussion Paper 2004-16, Tilburg University, Center for Economic Research.
    3. Lidia MANDRU, 2016. "How To Control Risks? Towards A Structure Of Enterprise Risk Management Process," Journal of Public Administration, Finance and Law, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 9(9), pages 80-92, June.
    4. Konstantinos Alexandridis & Bryan C Pijanowski, 2007. "Assessing Multiagent Parcelization Performance in the MABEL Simulation Model Using Monte Carlo Replication Experiments," Environment and Planning B, , vol. 34(2), pages 223-244, April.

  34. den Hertog, D. & Kleijnen, J.P.C. & Siem, A.Y.D., 2004. "The Correct Kriging Variance Estimated by Bootstrapping," Discussion Paper 2004-46, Tilburg University, Center for Economic Research.

    Cited by:

    1. Kleijnen, Jack P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2011. "Expected Improvement in Efficient Global Optimization Through Bootstrapped Kriging - Replaces CentER DP 2010-62," Discussion Paper 2011-015, Tilburg University, Center for Economic Research.
    2. Kleijnen, Jack P.C. & Mehdad, E., 2014. "Multivariate Versus Univariate Kriging Metamodels for Multi-Response Simulation Models (Revision of 2012-039)," Other publications TiSEM 8a096696-f700-4cbe-9474-c, Tilburg University, School of Economics and Management.
    3. Kleijnen, Jack P.C. & Mehdad, E., 2012. "Kriging in Multi-response Simulation, including a Monte Carlo Laboratory (Replaced by 2014-012)," Discussion Paper 2012-039, Tilburg University, Center for Economic Research.
    4. Hernandez, Andres F. & Grover, Martha A., 2013. "Error estimation properties of Gaussian process models in stochastic simulations," European Journal of Operational Research, Elsevier, vol. 228(1), pages 131-140.
    5. Kleijnen, Jack P.C., 2013. "Simulation-Optimization via Kriging and Bootstrapping : A Survey (Revision of CentER DP 2011-064)," Discussion Paper 2013-064, Tilburg University, Center for Economic Research.
    6. van Beers, W.C.M. & Kleijnen, J.P.C., 2004. "Customized Sequential Designs for Random Simulation Experiments : Kriging Metamodelling and Bootstrapping," Other publications TiSEM 372530d0-3a48-43c5-a91a-4, Tilburg University, School of Economics and Management.
    7. Kleijnen, Jack & van Beers, W.C.M., 2019. "Statistical Tests for Cross-Validation of Kriging Models," Discussion Paper 2019-022, Tilburg University, Center for Economic Research.
    8. Kleijnen, Jack P.C., 2009. "Kriging metamodeling in simulation: A review," European Journal of Operational Research, Elsevier, vol. 192(3), pages 707-716, February.
    9. Kleijnen, J.P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2008. "Constrained Optimization in Simulation : A Novel Approach," Other publications TiSEM e49ba0fc-853c-4a13-b564-d, Tilburg University, School of Economics and Management.
    10. Zhang, Wei & (Ato) Xu, Wangtu, 2017. "Simulation-based robust optimization for the schedule of single-direction bus transit route: The design of experiment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 203-230.
    11. Stinstra, E. & den Hertog, D., 2005. "Robust Optimization Using Computer Experiments," Discussion Paper 2005-90, Tilburg University, Center for Economic Research.
    12. Felipe Viana & Raphael Haftka & Layne Watson, 2013. "Efficient global optimization algorithm assisted by multiple surrogate techniques," Journal of Global Optimization, Springer, vol. 56(2), pages 669-689, June.
    13. Jack Kleijnen & Wim Beers & Inneke Nieuwenhuyse, 2012. "Expected improvement in efficient global optimization through bootstrapped kriging," Journal of Global Optimization, Springer, vol. 54(1), pages 59-73, September.
    14. Kleijnen, Jack P.C. & Mehdad, E., 2013. "Conditional simulation for efficient global optimization," Other publications TiSEM 52e4860d-9887-4a63-b19a-7, Tilburg University, School of Economics and Management.
    15. J P C Kleijnen & W C M van Beers, 2013. "Monotonicity-preserving bootstrapped Kriging metamodels for expensive simulations," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(5), pages 708-717, May.
    16. Stinstra, E., 2006. "The meta-model approach for simulation-based design optimization," Other publications TiSEM 713f828a-4716-4a19-af00-e, Tilburg University, School of Economics and Management.
    17. Stinstra, E. & den Hertog, D., 2005. "Robust Optimization Using Computer Experiments," Other publications TiSEM 69d6e378-c9f9-44e8-9602-f, Tilburg University, School of Economics and Management.
    18. Kleijnen, J.P.C., 2009. "Sensitivity Analysis of Simulation Models," Discussion Paper 2009-11, Tilburg University, Center for Economic Research.
    19. P. Pedone & G. Vicario & D. Romano, 2009. "Kriging‐based sequential inspection plans for coordinate measuring machines," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(2), pages 133-149, March.
    20. Mehdad, E. & Kleijnen, Jack P.C., 2014. "Classic Kriging versus Kriging with Bootstrapping or Conditional Simulation : Classic Kriging's Robust Confidence Intervals and Optimization (Revised version of CentER DP 2013-038)," Discussion Paper 2014-076, Tilburg University, Center for Economic Research.
    21. Jack P. C. Kleijnen & Wim C. M. van Beers, 2022. "Statistical Tests for Cross-Validation of Kriging Models," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 607-621, January.
    22. Liu, Heping & Shi, Jing & Erdem, Ergin, 2010. "Prediction of wind speed time series using modified Taylor Kriging method," Energy, Elsevier, vol. 35(12), pages 4870-4879.
    23. Dellino, G. & Lino, P. & Meloni, C. & Rizzo, A., 2009. "Kriging metamodel management in the design optimization of a CNG injection system," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2345-2360.
    24. Bing Wang & Jiaqiao Hu, 2018. "Some Monotonicity Results for Stochastic Kriging Metamodels in Sequential Settings," INFORMS Journal on Computing, INFORMS, vol. 30(2), pages 278-294, May.
    25. Wang, Jinsheng & Xu, Guoji & Li, Yongle & Kareem, Ahsan, 2022. "AKSE: A novel adaptive Kriging method combining sampling region scheme and error-based stopping criterion for structural reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    26. Kleijnen, Jack P.C. & Mehdad, Ehsan, 2014. "Multivariate versus univariate Kriging metamodels for multi-response simulation models," European Journal of Operational Research, Elsevier, vol. 236(2), pages 573-582.
    27. Kleijnen, Jack P.C. & Beers, Wim van & Nieuwenhuyse, Inneke van, 2010. "Constrained optimization in expensive simulation: Novel approach," European Journal of Operational Research, Elsevier, vol. 202(1), pages 164-174, April.

  35. van Beers, W.C.M. & Kleijnen, J.P.C., 2004. "Customized Sequential Designs for Random Simulation Experiments : Kriging Metamodelling and Bootstrapping," Discussion Paper 2004-63, Tilburg University, Center for Economic Research.

    Cited by:

    1. Kleijnen, J.P.C., 2007. "Simulation Experiments in Practice : Statistical Design and Regression Analysis," Other publications TiSEM d4bee6b0-7a00-4695-85ed-6, Tilburg University, School of Economics and Management.
    2. Arreola-Risa, Antonio & Giménez-García, Víctor M. & Martínez-Parra, José Luis, 2011. "Optimizing stochastic production-inventory systems: A heuristic based on simulation and regression analysis," European Journal of Operational Research, Elsevier, vol. 213(1), pages 107-118, August.
    3. Hernandez, Andres F. & Grover, Martha A., 2013. "Error estimation properties of Gaussian process models in stochastic simulations," European Journal of Operational Research, Elsevier, vol. 228(1), pages 131-140.
    4. Scott L. Rosen & Christopher P. Saunders & Samar K Guharay, 2015. "A Structured Approach for Rapidly Mapping Multilevel System Measures via Simulation Metamodeling," Systems Engineering, John Wiley & Sons, vol. 18(1), pages 87-101, January.
    5. Kleijnen, Jack P.C., 2009. "Kriging metamodeling in simulation: A review," European Journal of Operational Research, Elsevier, vol. 192(3), pages 707-716, February.
    6. Kleijnen, J.P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2008. "Constrained Optimization in Simulation : A Novel Approach," Other publications TiSEM e49ba0fc-853c-4a13-b564-d, Tilburg University, School of Economics and Management.
    7. Bruce Ankenman & Barry L. Nelson & Jeremy Staum, 2010. "Stochastic Kriging for Simulation Metamodeling," Operations Research, INFORMS, vol. 58(2), pages 371-382, April.
    8. Kleijnen, Jack P.C., 2017. "Regression and Kriging metamodels with their experimental designs in simulation: A review," European Journal of Operational Research, Elsevier, vol. 256(1), pages 1-16.
    9. Liao, Hao & Wu, Xingtong & Wang, Bing-Hong & Wu, Xiangyang & Zhou, Mingyang, 2019. "Solving the speed and accuracy of box-covering problem in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 954-963.
    10. Kleijnen, J.P.C., 2009. "Sensitivity Analysis of Simulation Models," Discussion Paper 2009-11, Tilburg University, Center for Economic Research.
    11. Song, Kunling & Zhang, Yugang & Shen, Linjie & Zhao, Qingyan & Song, Bifeng, 2021. "A failure boundary exploration and exploitation framework combining adaptive Kriging model and sample space partitioning strategy for efficient reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    12. Vieira Jr., Hélcio & Sanchez, Susan & Kienitz, Karl Heinz & Belderrain, Mischel Carmen Neyra, 2011. "Generating and improving orthogonal designs by using mixed integer programming," European Journal of Operational Research, Elsevier, vol. 215(3), pages 629-638, December.
    13. Plischke, Elmar & Borgonovo, Emanuele & Smith, Curtis L., 2013. "Global sensitivity measures from given data," European Journal of Operational Research, Elsevier, vol. 226(3), pages 536-550.
    14. Jing Xie & Peter I. Frazier & Stephen E. Chick, 2016. "Bayesian Optimization via Simulation with Pairwise Sampling and Correlated Prior Beliefs," Operations Research, INFORMS, vol. 64(2), pages 542-559, April.
    15. Jason R. W. Merrick, 2009. "Bayesian Simulation and Decision Analysis: An Expository Survey," Decision Analysis, INFORMS, vol. 6(4), pages 222-238, December.
    16. Kleijnen, Jack P.C. & Beers, Wim van & Nieuwenhuyse, Inneke van, 2010. "Constrained optimization in expensive simulation: Novel approach," European Journal of Operational Research, Elsevier, vol. 202(1), pages 164-174, April.
    17. Chen, Xi & Zhou, Qiang, 2017. "Sequential design strategies for mean response surface metamodeling via stochastic kriging with adaptive exploration and exploitation," European Journal of Operational Research, Elsevier, vol. 262(2), pages 575-585.

  36. Kleijnen, J.P.C. & van Beers, W.C.M., 2003. "Application-driven Sequential Designs for Simulation Experiments : Kriging Metamodeling," Discussion Paper 2003-33, Tilburg University, Center for Economic Research.

    Cited by:

    1. Xiao, Ning-Cong & Zuo, Ming J. & Zhou, Chengning, 2018. "A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 330-338.
    2. Kleijnen, J.P.C., 2007. "Simulation Experiments in Practice : Statistical Design and Regression Analysis," Other publications TiSEM d4bee6b0-7a00-4695-85ed-6, Tilburg University, School of Economics and Management.
    3. D den Hertog & J P C Kleijnen & A Y D Siem, 2006. "The correct Kriging variance estimated by bootstrapping," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(4), pages 400-409, April.
    4. Kleijnen, J.P.C., 2006. "White Noise Assumptions Revisited : Regression Models and Statistical Designs for Simulation Practice," Other publications TiSEM d8c37ad3-f9a5-4824-986d-2, Tilburg University, School of Economics and Management.
    5. van Dam, E.R. & Husslage, B.G.M. & den Hertog, D., 2004. "One-Dimensional Nested Maximin Designs," Discussion Paper 2004-66, Tilburg University, Center for Economic Research.
    6. Maroussa Zagoraiou & Alessandro Baldi Antognini, 2009. "Optimal designs for parameter estimation of the Ornstein–Uhlenbeck process," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(5), pages 583-600, September.
    7. Gaofeng Jia & Alexandros A. Taflanidis & Norberto C. Nadal-Caraballo & Jeffrey A. Melby & Andrew B. Kennedy & Jane M. Smith, 2016. "Surrogate modeling for peak or time-dependent storm surge prediction over an extended coastal region using an existing database of synthetic storms," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 909-938, March.
    8. Scott L. Rosen & Christopher P. Saunders & Samar K Guharay, 2015. "A Structured Approach for Rapidly Mapping Multilevel System Measures via Simulation Metamodeling," Systems Engineering, John Wiley & Sons, vol. 18(1), pages 87-101, January.
    9. Kleijnen, Jack P.C., 2009. "Kriging metamodeling in simulation: A review," European Journal of Operational Research, Elsevier, vol. 192(3), pages 707-716, February.
    10. Kleijnen, J.P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2008. "Constrained Optimization in Simulation : A Novel Approach," Other publications TiSEM e49ba0fc-853c-4a13-b564-d, Tilburg University, School of Economics and Management.
    11. Daniel J Klein & Michael Baym & Philip Eckhoff, 2014. "The Separatrix Algorithm for Synthesis and Analysis of Stochastic Simulations with Applications in Disease Modeling," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-10, July.
    12. Stinstra, E. & den Hertog, D., 2005. "Robust Optimization Using Computer Experiments," Discussion Paper 2005-90, Tilburg University, Center for Economic Research.
    13. Jize Zhang & Alexandros A. Taflanidis & Norberto C. Nadal-Caraballo & Jeffrey A. Melby & Fatimata Diop, 2018. "Advances in surrogate modeling for storm surge prediction: storm selection and addressing characteristics related to climate change," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(3), pages 1225-1253, December.
    14. M I Reis dos Santos & P M Reis dos Santos, 2011. "Construction and validation of distribution-based regression simulation metamodels," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1376-1384, July.
    15. Gaofeng Jia & Alexandros Taflanidis & Norberto Nadal-Caraballo & Jeffrey Melby & Andrew Kennedy & Jane Smith, 2016. "Surrogate modeling for peak or time-dependent storm surge prediction over an extended coastal region using an existing database of synthetic storms," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 909-938, March.
    16. Stinstra, E., 2006. "The meta-model approach for simulation-based design optimization," Other publications TiSEM 713f828a-4716-4a19-af00-e, Tilburg University, School of Economics and Management.
    17. Stinstra, E. & den Hertog, D., 2005. "Robust Optimization Using Computer Experiments," Other publications TiSEM 69d6e378-c9f9-44e8-9602-f, Tilburg University, School of Economics and Management.
    18. Song, Kunling & Zhang, Yugang & Shen, Linjie & Zhao, Qingyan & Song, Bifeng, 2021. "A failure boundary exploration and exploitation framework combining adaptive Kriging model and sample space partitioning strategy for efficient reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    19. P. Pedone & G. Vicario & D. Romano, 2009. "Kriging‐based sequential inspection plans for coordinate measuring machines," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(2), pages 133-149, March.
    20. Gan, Guojun & Lin, X. Sheldon, 2015. "Valuation of large variable annuity portfolios under nested simulation: A functional data approach," Insurance: Mathematics and Economics, Elsevier, vol. 62(C), pages 138-150.
    21. Siem, A.Y.D. & den Hertog, D., 2007. "Kriging Models That Are Robust With Respect to Simulation Errors," Other publications TiSEM fe73dc8b-20d6-4f50-95eb-f, Tilburg University, School of Economics and Management.
    22. Kleijnen, J.P.C., 2007. "Screening Experiments for Simulation : A Review," Other publications TiSEM 164486bc-0852-4d15-bdf8-5, Tilburg University, School of Economics and Management.
    23. Mlakar, Miha & Petelin, Dejan & Tušar, Tea & Filipič, Bogdan, 2015. "GP-DEMO: Differential Evolution for Multiobjective Optimization based on Gaussian Process models," European Journal of Operational Research, Elsevier, vol. 243(2), pages 347-361.

  37. Kleijnen, J.P.C. & Sanchez, S.M. & Lucas, T.W. & Cioppa, T.M., 2003. "A User's Guide to the Brave New World of Designing Simulation Experiments," Discussion Paper 2003-1, Tilburg University, Center for Economic Research.

    Cited by:

    1. Jakob Grazzini & Matteo G. Richiardi & Lisa Sella, 2013. "Analysis of Agent-based Models," LABORatorio R. Revelli Working Papers Series 135, LABORatorio R. Revelli, Centre for Employment Studies.
    2. Happe, Kathrin, 2005. "Agent-Based Modelling and Sensitivity Analysis by Experimental Design and Metamodelling: An Application to Modelling Regional Structural Change," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24464, European Association of Agricultural Economists.
    3. Van Huylenbroeck, Guido & Lauwers, Ludwig H. & Fernagut, Bruno, 2006. "New Developments in Agricultural Policy Modelling and Consequences for Managing the Policy Analysis Systems," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25256, International Association of Agricultural Economists.
    4. Grazzini,Jakob & Richiardi, Matteo & Sella, Lisa, 2013. "Is there a Double-Negative Effect? Gender and Ethnic Wage Differentials," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201352, University of Turin.
    5. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046, November.
    6. Maksudul Alam & Xinwei Deng & Casandra Philipson & Josep Bassaganya-Riera & Keith Bisset & Adria Carbo & Stephen Eubank & Raquel Hontecillas & Stefan Hoops & Yongguo Mei & Vida Abedi & Madhav Marathe, 2015. "Sensitivity Analysis of an ENteric Immunity SImulator (ENISI)-Based Model of Immune Responses to Helicobacter pylori Infection," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-25, September.
    7. Happe, Kathrin & Kellermann, Konrad & Balmann, Alfons, 2006. "Agent-based analysis of agricultural policies: An illustration of the agricultural policy simulator AgriPoliS, its adaptation and behavior," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 11(1).

  38. Kleijnen, J.P.C., 2003. "Supply Chain Simulation : A Survey," Discussion Paper 2003-103, Tilburg University, Center for Economic Research.

    Cited by:

    1. Shi, W. & Kleijnen, Jack P.C. & Liu, Zhixue, 2013. "Factor Screening For Simulation With Multiple Responses : Sequential Bifurcation," Other publications TiSEM 02d31acf-b6be-4c0f-beb7-5, Tilburg University, School of Economics and Management.
    2. Tannock, James & Cao, Bing & Farr, Richard & Byrne, Mike, 2007. "Data-driven simulation of the supply-chain--Insights from the aerospace sector," International Journal of Production Economics, Elsevier, vol. 110(1-2), pages 70-84, October.
    3. Potter, Andrew & Yang, Biao & Lalwani, Chandra, 2007. "A simulation study of despatch bay performance in the steel processing industry," European Journal of Operational Research, Elsevier, vol. 179(2), pages 567-578, June.

  39. Deflandre, D. & Kleijnen, J.P.C., 2002. "Statistical Analysis of Random Simulations : Bootstrap Tutorial," Discussion Paper 2002-58, Tilburg University, Center for Economic Research.

    Cited by:

    1. Shi, Wen & Liu, Zhixue & Shang, Jennifer & Cui, Yujia, 2013. "Multi-criteria robust design of a JIT-based cross-docking distribution center for an auto parts supply chain," European Journal of Operational Research, Elsevier, vol. 229(3), pages 695-706.

  40. Kleijnen, J.P.C. & den Hertog, D. & Angun, M.E., 2002. "Response Surface Methodology's Steepest Ascent and Step Size Revisited," Discussion Paper 2002-64, Tilburg University, Center for Economic Research.

    Cited by:

    1. Soonhui Lee & Tito Homem-de-Mello & Anton Kleywegt, 2012. "Newsvendor-type models with decision-dependent uncertainty," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 76(2), pages 189-221, October.
    2. Pourmohammadi, Pardis & Saif, Ahmed, 2023. "Robust metamodel-based simulation-optimization approaches for designing hybrid renewable energy systems," Applied Energy, Elsevier, vol. 341(C).
    3. Kleijnen, Jack P.C. & den Hertog, Dick & Angun, Ebru, 2006. "Response surface methodology's steepest ascent and step size revisited: Correction," European Journal of Operational Research, Elsevier, vol. 170(2), pages 664-666, April.
    4. Angun, M.E. & Gürkan, G. & den Hertog, D. & Kleijnen, J.P.C., 2002. "Response surface methodology revisited," Other publications TiSEM 32c35a04-3de9-4dee-a242-6, Tilburg University, School of Economics and Management.
    5. Angun, M.E., 2004. "Black box simulation optimization : Generalized response surface methodology," Other publications TiSEM 2548e953-54ce-44e2-8c5b-7, Tilburg University, School of Economics and Management.
    6. Kleijnen, J.P.C., 2006. "Generalized Response Surface Methodology : A New Metaheuristic," Other publications TiSEM 9a11fb77-d2e1-4c6e-8bba-0, Tilburg University, School of Economics and Management.
    7. Kleijnen, Jack P.C. & Beers, Wim van & Nieuwenhuyse, Inneke van, 2010. "Constrained optimization in expensive simulation: Novel approach," European Journal of Operational Research, Elsevier, vol. 202(1), pages 164-174, April.

  41. Kleijnen, J.P.C. & Vonk Noordegraaf, A. & Nielen, M., 2001. "Sensitivity Analysis of Censored Output Through Polynomial, Logistic and Tobit Regression Meta-Models : Theory and Case Study," Discussion Paper 2001-43, Tilburg University, Center for Economic Research.

    Cited by:

    1. Kleijnen, J.P.C. & Sanchez, S.M. & Lucas, T.W. & Cioppa, T.M., 2003. "A User's Guide to the Brave New World of Designing Simulation Experiments," Discussion Paper 2003-1, Tilburg University, Center for Economic Research.

  42. van Groenendaal, W.J.H. & Kleijnen, J.P.C., 2001. "Deterministic versus Stochastic Sensitivity Analysis in Investment Problems : An Environmental Case Study," Discussion Paper 2001-46, Tilburg University, Center for Economic Research.

    Cited by:

    1. Borgonovo, E. & Peccati, L., 2011. "Finite change comparative statics for risk-coherent inventories," International Journal of Production Economics, Elsevier, vol. 131(1), pages 52-62, May.
    2. Durieux, Severine & Pierreval, Henri, 2004. "Regression metamodeling for the design of automated manufacturing system composed of parallel machines sharing a material handling resource," International Journal of Production Economics, Elsevier, vol. 89(1), pages 21-30, May.
    3. Salci, Sener & Jenkins, Glenn, 2016. "Incorporating Risk and Uncertainty in Cost-Benefit Analysis," MPRA Paper 74161, University Library of Munich, Germany.
    4. Borgonovo, E. & Gatti, S. & Peccati, L., 2010. "What drives value creation in investment projects? An application of sensitivity analysis to project finance transactions," European Journal of Operational Research, Elsevier, vol. 205(1), pages 227-236, August.
    5. Rabitti, Giovanni & Borgonovo, Emanuele, 2020. "Is mortality or interest rate the most important risk in annuity models? A comparison of sensitivity analysis methods," Insurance: Mathematics and Economics, Elsevier, vol. 95(C), pages 48-58.
    6. Mike Hewitt & Janosch Ortmann & Walter Rei, 2022. "Decision-based scenario clustering for decision-making under uncertainty," Annals of Operations Research, Springer, vol. 315(2), pages 747-771, August.
    7. Borgonovo, Emanuele & Plischke, Elmar, 2016. "Sensitivity analysis: A review of recent advances," European Journal of Operational Research, Elsevier, vol. 248(3), pages 869-887.
    8. Happe, Kathrin & Kellermann, Konrad & Balmann, Alfons, 2006. "Agent-based analysis of agricultural policies: An illustration of the agricultural policy simulator AgriPoliS, its adaptation and behavior," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 11(1).

  43. van Beers, W.C.M. & Kleijnen, J.P.C., 2001. "Kriging for Interpolation in Random Simulation," Discussion Paper 2001-74, Tilburg University, Center for Economic Research.

    Cited by:

    1. Zhou, Jin & Li, Jie, 2022. "An enhanced method for improving the accuracy of small failure probability of structures," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    2. Bhupinder Singh Saini & Michael Emmerich & Atanu Mazumdar & Bekir Afsar & Babooshka Shavazipour & Kaisa Miettinen, 2022. "Optimistic NAUTILUS navigator for multiobjective optimization with costly function evaluations," Journal of Global Optimization, Springer, vol. 83(4), pages 865-889, August.
    3. Nariman Fouladinejad & Nima Fouladinejad & Mohamad Kasim Abdul Jalil & Jamaludin Mohd Taib, 2017. "Decomposition-Assisted Computational Technique Based on Surrogate Modeling for Real-Time Simulations," Complexity, Hindawi, vol. 2017, pages 1-14, March.
    4. Park, BeomJun & Hur, Jin, 2018. "Spatial prediction of renewable energy resources for reinforcing and expanding power grids," Energy, Elsevier, vol. 164(C), pages 757-772.
    5. Alexanderian, Alen & Gremaud, Pierre A. & Smith, Ralph C., 2020. "Variance-based sensitivity analysis for time-dependent processes," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    6. J P C Kleijnen & W C M van Beers, 2004. "Application-driven sequential designs for simulation experiments: Kriging metamodelling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(8), pages 876-883, August.
    7. Hernandez, Andres F. & Grover, Martha A., 2013. "Error estimation properties of Gaussian process models in stochastic simulations," European Journal of Operational Research, Elsevier, vol. 228(1), pages 131-140.
    8. van Beers, W.C.M. & Kleijnen, J.P.C., 2004. "Customized Sequential Designs for Random Simulation Experiments : Kriging Metamodelling and Bootstrapping," Other publications TiSEM 372530d0-3a48-43c5-a91a-4, Tilburg University, School of Economics and Management.
    9. Kleijnen, Jack P.C. & Deflandre, David, 2006. "Validation of regression metamodels in simulation: Bootstrap approach," European Journal of Operational Research, Elsevier, vol. 170(1), pages 120-131, April.
    10. Kleijnen, Jack P.C., 2009. "Kriging metamodeling in simulation: A review," European Journal of Operational Research, Elsevier, vol. 192(3), pages 707-716, February.
    11. Bruce Ankenman & Barry L. Nelson & Jeremy Staum, 2010. "Stochastic Kriging for Simulation Metamodeling," Operations Research, INFORMS, vol. 58(2), pages 371-382, April.
    12. Zhanjun Xu & Yuan Zhang & Jason Yang & Fenwu Liu & Rutian Bi & Hongfen Zhu & Chunjuan Lv & Jian Yu, 2019. "Effect of Underground Coal Mining on the Regional Soil Organic Carbon Pool in Farmland in a Mining Subsidence Area," Sustainability, MDPI, vol. 11(18), pages 1-19, September.
    13. Bettonvil, Bert & del Castillo, Enrique & Kleijnen, Jack P.C., 2009. "Statistical testing of optimality conditions in multiresponse simulation-based optimization," European Journal of Operational Research, Elsevier, vol. 199(2), pages 448-458, December.
    14. Kleijnen, J.P.C., 2006. "Regression Models and Experimental Designs : A Tutorial for Simulation Analaysts," Discussion Paper 2006-10, Tilburg University, Center for Economic Research.
    15. Xuefei Lu & Alessandro Rudi & Emanuele Borgonovo & Lorenzo Rosasco, 2020. "Faster Kriging: Facing High-Dimensional Simulators," Operations Research, INFORMS, vol. 68(1), pages 233-249, January.
    16. Dellino, G. & Kleijnen, Jack P.C. & Meloni, C., 2009. "Robust Optimization in Simulation : Taguchi and Krige Combined," Discussion Paper 2009-82, Tilburg University, Center for Economic Research.
    17. M I Reis dos Santos & P M Reis dos Santos, 2011. "Construction and validation of distribution-based regression simulation metamodels," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1376-1384, July.
    18. Xin Yun & L. Jeff Hong & Guangxin Jiang & Shouyang Wang, 2019. "On gamma estimation via matrix kriging," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(5), pages 393-410, August.
    19. Michael Ludkovski, 2015. "Kriging Metamodels and Experimental Design for Bermudan Option Pricing," Papers 1509.02179, arXiv.org, revised Oct 2016.
    20. Hongxing Li & Charlotte D. Smith & Li Wang & Zheng Li & Chuanlong Xiong & Rong Zhang, 2019. "Combining Spatial Analysis and a Drinking Water Quality Index to Evaluate Monitoring Data," IJERPH, MDPI, vol. 16(3), pages 1-9, January.
    21. Feng Yang & Bruce Ankenman & Barry L. Nelson, 2007. "Efficient generation of cycle time‐throughput curves through simulation and metamodeling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(1), pages 78-93, February.
    22. Kleijnen, J.P.C., 2009. "Sensitivity Analysis of Simulation Models," Discussion Paper 2009-11, Tilburg University, Center for Economic Research.
    23. Kleijnen, Jack P. C. & van Beers, Wim C. M., 2005. "Robustness of Kriging when interpolating in random simulation with heterogeneous variances: Some experiments," European Journal of Operational Research, Elsevier, vol. 165(3), pages 826-834, September.
    24. Simu Akter & Kazi Rifat Ahmed, 2021. "Insight and explore farming adaptation measures to support sustainable development goal 2 in the southwest coastal region of Bangladesh," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4358-4384, March.
    25. Amir Parnianifard & Ali Zemouche & Ratchatin Chancharoen & Muhammad Ali Imran & Lunchakorn Wuttisittikulkij, 2020. "Robust optimal design of FOPID controller for five bar linkage robot in a Cyber-Physical System: A new simulation-optimization approach," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-35, November.
    26. Rojas Gonzalez, Sebastian & Jalali, Hamed & Van Nieuwenhuyse, Inneke, 2020. "A multiobjective stochastic simulation optimization algorithm," European Journal of Operational Research, Elsevier, vol. 284(1), pages 212-226.
    27. Chen, Jianbing & Liu, Zenghui & Song, Yupeng & Peng, Yongbo & Li, Jie, 2022. "Experimental study on dynamic responses of a spar-type floating offshore wind turbine," Renewable Energy, Elsevier, vol. 196(C), pages 560-578.

  44. Kleijnen, J.P.C., 2001. "Experimental Design for Sensitivity Analysis of Simulation Models," Discussion Paper 2001-15, Tilburg University, Center for Economic Research.

    Cited by:

    1. Kleijnen, J.P.C., 2004. "Design and Analysis of Monte Carlo Experiments," Other publications TiSEM 7a12daae-c849-427e-8269-7, Tilburg University, School of Economics and Management.

  45. van Schaik, F.D.J. & Kleijnen, J.P.C., 2001. "Sealed-Bid Auctions : Case Study," Discussion Paper 2001-73, Tilburg University, Center for Economic Research.

    Cited by:

    1. Ignacio Esponda, 2008. "Information feedback in first price auctions," RAND Journal of Economics, RAND Corporation, vol. 39(2), pages 491-508, June.
    2. van Schaik, F.D.J. & Kleijnen, J.P.C., 2001. "Sealed-Bid Auctions : Case Study," Discussion Paper 2001-73, Tilburg University, Center for Economic Research.

  46. Kleijnen, J.P.C. & van Groenendaal, W.J.H., 2000. "Measuring the Quality of Publications : New Methodology and Case Study," Discussion Paper 2000-37, Tilburg University, Center for Economic Research.

    Cited by:

    1. Deflandre, D. & Kleijnen, J.P.C., 2002. "Statistical Analysis of Random Simulations : Bootstrap Tutorial," Discussion Paper 2002-58, Tilburg University, Center for Economic Research.
    2. Rik Pieters & Hans Baumgartner, 2002. "Who Talks to Whom? Intra- and Interdisciplinary Communication of Economics Journals," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 483-509, June.
    3. Liu, Xuan Zhen & Fang, Hui, 2020. "A comparison among citation-based journal indicators and their relative changes with time," Journal of Informetrics, Elsevier, vol. 14(1).
    4. Juan Miguel Campanario, 2011. "Empirical study of journal impact factors obtained using the classical two-year citation window versus a five-year citation window," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 189-204, April.
    5. Forgionne, Guisseppi A. & Kohli, Rajiv & Jennings, Darniet, 2002. "An AHP analysis of quality in AI and DSS journals," Omega, Elsevier, vol. 30(3), pages 171-183, June.
    6. Serenko, Alexander, 2010. "The development of an AI journal ranking based on the revealed preference approach," Journal of Informetrics, Elsevier, vol. 4(4), pages 447-459.
    7. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.

  47. Kleijnen, J.P.C., 1999. "Validation of Models : Statistical Techniques and Data Availability," Discussion Paper 1999-104, Tilburg University, Center for Economic Research.

    Cited by:

    1. Federico Perali & Stefania Lovo, 2009. "Counterfactual analysis using a regional dynamic general equilibrium model with historical calibration," Working Papers 58/2009, University of Verona, Department of Economics.
    2. Zhu, Changfeng & Yu, Chunxiao & Huo, Jiuyuan, 2023. "Research on spatio-temporal network prediction model of parallel–series traffic flow based on Transformer and GCAT," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 610(C).
    3. Hertel, Thomas W. & Keeney, Roman & Valenzuela, Ernesto, 2004. "Global Analysis Of Agricultural Trade Liberalization: Assessing Model Validity," 2004 Annual meeting, August 1-4, Denver, CO 20199, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Happe, Kathrin, 2005. "Agent-Based Modelling and Sensitivity Analysis by Experimental Design and Metamodelling: An Application to Modelling Regional Structural Change," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24464, European Association of Agricultural Economists.
    5. Robinson, Stewart, 2002. "General concepts of quality for discrete-event simulation," European Journal of Operational Research, Elsevier, vol. 138(1), pages 103-117, April.
    6. Hertel, Thomas, 2013. "Global Applied General Equilibrium Analysis Using the Global Trade Analysis Project Framework," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 815-876, Elsevier.
    7. Kleijnen, J.P.C., 2005. "Supply chain simulation tools and techniques : A survey," Other publications TiSEM d0050225-57bd-4114-ab15-7, Tilburg University, School of Economics and Management.
    8. Kleijnen, Jack P.C., 2010. "Ethical Issues in Engineering Models : Personal Reflections," Other publications TiSEM 933d9e13-da33-43fd-a0fe-e, Tilburg University, School of Economics and Management.
    9. Kleijnen, J.P.C. & Cheng, R.C.H. & Bettonvil, B.W.M., 2000. "Validation of trace-driven simulation models : More on bootstrap tests," Other publications TiSEM 78dda39d-725a-488b-9618-b, Tilburg University, School of Economics and Management.
    10. Kleijnen, J. P. C., 2001. "Ethical issues in modeling: Some reflections," European Journal of Operational Research, Elsevier, vol. 130(1), pages 223-230, April.
    11. van der Gaag, Monique A. & Vos, Fred & Saatkamp, Helmut W. & van Boven, Michiel & van Beek, Paul & Huirne, Ruud B. M., 2004. "A state-transition simulation model for the spread of Salmonella in the pork supply chain," European Journal of Operational Research, Elsevier, vol. 156(3), pages 782-798, August.

  48. Kleijnen, J.P.C. & Gaury, E.G.A., 1998. "Short-term robustness of production management systems," Discussion Paper 1998-070, Tilburg University, Center for Economic Research.

    Cited by:

    1. Luis Vildosola, 2002. "Circular Variable Work In Process," Macroeconomics 0203004, University Library of Munich, Germany.

  49. Gaury, E.G.A. & Pierreval, H. & Kleijnen, J.P.C., 1998. "New species of hybrid pull systems," Discussion Paper 1998-31, Tilburg University, Center for Economic Research.

    Cited by:

    1. Gaury, E.G.A. & Kleijnen, J.P.C. & Pierreval, H., 1998. "Customized Pull Systems for Single-Product Flow Lines," Other publications TiSEM ac7da569-7495-4fc4-a4e1-0, Tilburg University, School of Economics and Management.

  50. Kleijnen, J.P.C., 1998. "Validation of Simulation, With and Without Real Data," Discussion Paper 1998-22, Tilburg University, Center for Economic Research.

    Cited by:

    1. Hertel, Thomas W. & Keeney, Roman & Valenzuela, Ernesto, 2004. "Global Analysis Of Agricultural Trade Liberalization: Assessing Model Validity," 2004 Annual meeting, August 1-4, Denver, CO 20199, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Mario Holzner, 2004. "GSIM Measurement of the Costs of Protection in Southeast Europe," wiiw Balkan Observatory Working Papers 55, The Vienna Institute for International Economic Studies, wiiw.
    3. Nigel Gilbert & Pietro Terna, 2000. "How to build and use agent-based models in social science," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 1(1), pages 57-72, March.
    4. Carrillo-Hermosilla, Javier, 2006. "A policy approach to the environmental impacts of technological lock-in," Ecological Economics, Elsevier, vol. 58(4), pages 717-742, July.

  51. van Heck, H.W.G.M. & van Damme, E.E.C. & Kleijnen, J.P.C. & Ribbers, P.M.A., 1997. "New entrants and the role of information technology: Case study: The Tele-Flower Auction in The Netherlands," Other publications TiSEM 3e3fb2b7-065f-44e3-825d-9, Tilburg University, School of Economics and Management.

    Cited by:

    1. A. Amarender Reddy & Mehjabeen, 2019. "Electronic National Agricultural Markets, Impacts, Problems and Way Forward," IIM Kozhikode Society & Management Review, , vol. 8(2), pages 143-155, July.

  52. Kleijnen, J.P.C., 1997. "Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models," Discussion Paper 1997-52, Tilburg University, Center for Economic Research.

    Cited by:

    1. Neddermeijer, H.G. & Piersma, N. & van Oortmarssen, G.J. & Habbema, J.D.F. & Dekker, R., 1999. "Comparison of response surface methodology and the Nelder and Mead simplex method for optimization in microsimulation models," Econometric Institute Research Papers EI 9924-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  53. Kleijnen, J.P.C. & Sargent, R., 1997. "A Methodology for Fitting and Validating Metamodels in Simulation," Discussion Paper 1997-116, Tilburg University, Center for Economic Research.

    Cited by:

    1. Hawre Jalal & Bryan Dowd & François Sainfort & Karen M. Kuntz, 2013. "Linear Regression Metamodeling as a Tool to Summarize and Present Simulation Model Results," Medical Decision Making, , vol. 33(7), pages 880-890, October.
    2. Kleijnen, J.P.C. & Sanchez, S.M. & Lucas, T.W. & Cioppa, T.M., 2003. "A User's Guide to the Brave New World of Designing Simulation Experiments," Discussion Paper 2003-1, Tilburg University, Center for Economic Research.
    3. Jakub Growiec & Bogumił Kamiński & Katarzyna Growiec, 2017. "Social Network Structure and The Trade-Off Between Social Utility and Economic Performance," EcoMod2017 10279, EcoMod.
    4. Durieux, Severine & Pierreval, Henri, 2004. "Regression metamodeling for the design of automated manufacturing system composed of parallel machines sharing a material handling resource," International Journal of Production Economics, Elsevier, vol. 89(1), pages 21-30, May.
    5. Kleijnen, Jack P.C. & Mehdad, E., 2012. "Kriging in Multi-response Simulation, including a Monte Carlo Laboratory (Replaced by 2014-012)," Discussion Paper 2012-039, Tilburg University, Center for Economic Research.
    6. Kleijnen, J.P.C., 2004. "An Overview of the Design and Analysis of Simulation Experiments for Sensitivity Analysis," Discussion Paper 2004-16, Tilburg University, Center for Economic Research.
    7. Colas, Floriane & Gauchi, Jean-Pierre & Villerd, Jean & Colbach, Nathalie, 2021. "Simplifying a complex computer model: Sensitivity analysis and metamodelling of an 3D individual-based crop-weed canopy model," Ecological Modelling, Elsevier, vol. 454(C).
    8. Acharki, Naoufal & Bertoncello, Antoine & Garnier, Josselin, 2023. "Robust prediction interval estimation for Gaussian processes by cross-validation method," Computational Statistics & Data Analysis, Elsevier, vol. 178(C).
    9. Galelli, S. & Gandolfi, C. & Soncini-Sessa, R. & Agostani, D., 2010. "Building a metamodel of an irrigation district distributed-parameter model," Agricultural Water Management, Elsevier, vol. 97(2), pages 187-200, February.
    10. G. Dosi & M. C. Pereira & M. E. Virgillito, 2018. "On the robustness of the fat-tailed distribution of firm growth rates: a global sensitivity analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 173-193, April.
    11. Caubel, J. & Launay, M. & Lannou, C. & Brisson, N., 2012. "Generic response functions to simulate climate-based processes in models for the development of airborne fungal crop pathogens," Ecological Modelling, Elsevier, vol. 242(C), pages 92-104.
    12. Jin, Ding & Hedtrich, Johannes & Henning, Christian, 2018. "Applying Meta modeling for extended CGE-modeling: Sample techniques and potential application," Conference papers 332947, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    13. Iooss, Bertrand & Van Dorpe, François & Devictor, Nicolas, 2006. "Response surfaces and sensitivity analyses for an environmental model of dose calculations," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1241-1251.
    14. J P C Kleijnen & W C M van Beers, 2004. "Application-driven sequential designs for simulation experiments: Kriging metamodelling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(8), pages 876-883, August.
    15. Wise, Russell M. & Cacho, Oscar J., 2006. "Optimal Land-Use Decisions in the Presence of Carbon Payments and Fertilizer Subsidies: An Indonesian Case Study," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25356, International Association of Agricultural Economists.
    16. Poropudas, Jirka & Virtanen, Kai, 2011. "Simulation metamodeling with dynamic Bayesian networks," European Journal of Operational Research, Elsevier, vol. 214(3), pages 644-655, November.
    17. Scott L. Rosen & Christopher P. Saunders & Samar K Guharay, 2015. "A Structured Approach for Rapidly Mapping Multilevel System Measures via Simulation Metamodeling," Systems Engineering, John Wiley & Sons, vol. 18(1), pages 87-101, January.
    18. Kleijnen, Jack P.C. & Deflandre, David, 2006. "Validation of regression metamodels in simulation: Bootstrap approach," European Journal of Operational Research, Elsevier, vol. 170(1), pages 120-131, April.
    19. Kleijnen, Jack P.C., 2009. "Kriging metamodeling in simulation: A review," European Journal of Operational Research, Elsevier, vol. 192(3), pages 707-716, February.
    20. Kleijnen, J.P.C., 1997. "Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models," Other publications TiSEM c0e2bc10-e550-4cf2-b649-6, Tilburg University, School of Economics and Management.
    21. Reis dos Santos, M. Isabel & Porta Nova, Acacio M.O., 2006. "Statistical fitting and validation of non-linear simulation metamodels: A case study," European Journal of Operational Research, Elsevier, vol. 171(1), pages 53-63, May.
    22. Ziesmer, Johannes & Jin, Ding & Mukashov, Askar & Henning, Christian, 2023. "Integrating fundamental model uncertainty in policy analysis," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    23. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    24. Seidel, Claudia & Shang, Linmei & Britz, Wolfgang, 2023. "A critical assessment of neural networks as meta-model of a farm optimization model," Discussion Papers 338200, University of Bonn, Institute for Food and Resource Economics.
    25. H. Christopher Frey & Sumeet R. Patil, 2002. "Identification and Review of Sensitivity Analysis Methods," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 553-578, June.
    26. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2022. "A complexity view on the future of work. Meta-modelling exploration of the multi-sector K+S agent based model," LEM Papers Series 2022/22, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    27. Xuefei Lu & Alessandro Rudi & Emanuele Borgonovo & Lorenzo Rosasco, 2020. "Faster Kriging: Facing High-Dimensional Simulators," Operations Research, INFORMS, vol. 68(1), pages 233-249, January.
    28. Darryl Ahner & Andrew McCarthy, 2020. "Response surface modeling of precision-guided fragmentation munitions," The Journal of Defense Modeling and Simulation, , vol. 17(1), pages 83-97, January.
    29. Husslage, B.G.M. & van Dam, E.R. & den Hertog, D. & Stehouwer, H.P. & Stinstra, E., 2003. "Coordination of Coupled Black Box Simulations in the Construction of Metamodels," Other publications TiSEM 30f68c5d-b8bb-480e-9296-8, Tilburg University, School of Economics and Management.
    30. M I Reis dos Santos & P M Reis dos Santos, 2011. "Construction and validation of distribution-based regression simulation metamodels," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1376-1384, July.
    31. Rios Insua, D. & Alfaro, C. & Gomez, J. & Hernandez-Coronado, P. & Bernal, F., 2018. "A framework for risk management decisions in aviation safety at state level," Reliability Engineering and System Safety, Elsevier, vol. 179(C), pages 74-82.
    32. Sohani Liyanage & Hussein Dia & Rusul Abduljabbar & Saeed Asadi Bagloee, 2019. "Flexible Mobility On-Demand: An Environmental Scan," Sustainability, MDPI, vol. 11(5), pages 1-39, February.
    33. Clazien J. De Vos & Helmut W. Saatkamp & Mirjam Nielen & Ruud B. M. Huirne, 2006. "Sensitivity Analysis to Evaluate the Impact of Uncertain Factors in a Scenario Tree Model for Classical Swine Fever Introduction," Risk Analysis, John Wiley & Sons, vol. 26(5), pages 1311-1322, October.
    34. Tunali, S. & Batmaz, I., 2003. "A metamodeling methodology involving both qualitative and quantitative input factors," European Journal of Operational Research, Elsevier, vol. 150(2), pages 437-450, October.
    35. Graham, Tennille, 2005. "On the Road to Better Management: An investigation into the benefits of managing the impacts of dryland salinity on roads," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137921, Australian Agricultural and Resource Economics Society.
    36. Doole, Graeme J., 2012. "Cost-effective policies for improving water quality by reducing nitrate emissions from diverse dairy farms: An abatement–cost perspective," Agricultural Water Management, Elsevier, vol. 104(C), pages 10-20.
    37. YalçInkaya, Özgür & Mirac Bayhan, G., 2009. "Modelling and optimization of average travel time for a metro line by simulation and response surface methodology," European Journal of Operational Research, Elsevier, vol. 196(1), pages 225-233, July.
    38. Stinstra, E., 2006. "The meta-model approach for simulation-based design optimization," Other publications TiSEM 713f828a-4716-4a19-af00-e, Tilburg University, School of Economics and Management.
    39. Weinberger, Gottfried & Moshfegh, Bahram, 2018. "Investigating influential techno-economic factors for combined heat and power production using optimization and metamodeling," Applied Energy, Elsevier, vol. 232(C), pages 555-571.
    40. Batmaz, Inci & Tunali, Semra, 2003. "Small response surface designs for metamodel estimation," European Journal of Operational Research, Elsevier, vol. 145(2), pages 455-470, March.
    41. Martínez, A. & Astrain, D. & Rodríguez, A., 2013. "Dynamic model for simulation of thermoelectric self cooling applications," Energy, Elsevier, vol. 55(C), pages 1114-1126.
    42. Mert Edali & Gönenç Yücel, 2020. "Analysis of an individual‐based influenza epidemic model using random forest metamodels and adaptive sequential sampling," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(6), pages 936-958, November.
    43. Kamiński, Bogumił, 2015. "A method for the updating of stochastic kriging metamodels," European Journal of Operational Research, Elsevier, vol. 247(3), pages 859-866.
    44. Shi, Wen & Shang, Jennifer & Liu, Zhixue & Zuo, Xiaolu, 2014. "Optimal design of the auto parts supply chain for JIT operations: Sequential bifurcation factor screening and multi-response surface methodology," European Journal of Operational Research, Elsevier, vol. 236(2), pages 664-676.
    45. Reis dos Santos, Pedro M. & Isabel Reis dos Santos, M., 2009. "Using subsystem linear regression metamodels in stochastic simulation," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1031-1040, August.
    46. Ekren, Orhan & Ekren, Banu Yetkin, 2008. "Size optimization of a PV/wind hybrid energy conversion system with battery storage using response surface methodology," Applied Energy, Elsevier, vol. 85(11), pages 1086-1101, November.
    47. Strang, Kenneth David, 2012. "Importance of verifying queue model assumptions before planning with simulation software," European Journal of Operational Research, Elsevier, vol. 218(2), pages 493-504.
    48. Marrel, Amandine & Iooss, Bertrand & Laurent, Béatrice & Roustant, Olivier, 2009. "Calculations of Sobol indices for the Gaussian process metamodel," Reliability Engineering and System Safety, Elsevier, vol. 94(3), pages 742-751.
    49. Marjolijn Haasnoot & Hans Middelkoop & Astrid Offermans & Eelco Beek & Willem Deursen, 2012. "Exploring pathways for sustainable water management in river deltas in a changing environment," Climatic Change, Springer, vol. 115(3), pages 795-819, December.
    50. Noguera, Jose H. & Watson, Edward F., 2006. "Response surface analysis of a multi-product batch processing facility using a simulation metamodel," International Journal of Production Economics, Elsevier, vol. 102(2), pages 333-343, August.
    51. Jin, Ding & Thube, Sneha Dattatraya & Hedtrich, Johannes & Henning, Christian & Delzeit, Ruth, 2019. "A Baseline Calibration Procedure for CGE models: An Application for DART," Conference papers 333057, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    52. Robertson, Joseph J. & Polly, Ben J. & Collis, Jon M., 2015. "Reduced-order modeling and simulated annealing optimization for efficient residential building utility bill calibration," Applied Energy, Elsevier, vol. 148(C), pages 169-177.
    53. Vonk Noordegraaf, Antonie & Nielen, Mirjam & Kleijnen, Jack P. C., 2003. "Sensitivity analysis by experimental design and metamodelling: Case study on simulation in national animal disease control," European Journal of Operational Research, Elsevier, vol. 146(3), pages 433-443, May.
    54. Ekren, Orhan & Ekren, Banu Y. & Ozerdem, Baris, 2009. "Break-even analysis and size optimization of a PV/wind hybrid energy conversion system with battery storage - A case study," Applied Energy, Elsevier, vol. 86(7-8), pages 1043-1054, July.
    55. Richard E. Nance & Robert G. Sargent, 2002. "Perspectives on the Evolution of Simulation," Operations Research, INFORMS, vol. 50(1), pages 161-172, February.
    56. G. Quijano, Eduardo & Ríos Insua, David & Cano, Javier, 2018. "Critical networked infrastructure protection from adversaries," Reliability Engineering and System Safety, Elsevier, vol. 179(C), pages 27-36.
    57. van der Gaag, Monique A. & Vos, Fred & Saatkamp, Helmut W. & van Boven, Michiel & van Beek, Paul & Huirne, Ruud B. M., 2004. "A state-transition simulation model for the spread of Salmonella in the pork supply chain," European Journal of Operational Research, Elsevier, vol. 156(3), pages 782-798, August.
    58. Husslage, B.G.M. & van Dam, E.R. & den Hertog, D. & Stehouwer, H.P. & Stinstra, E., 2003. "Coordination of Coupled Black Box Simulations in the Construction of Metamodels," Discussion Paper 2003-2, Tilburg University, Center for Economic Research.
    59. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046, November.
    60. Marrel, Amandine & Iooss, Bertrand & Van Dorpe, François & Volkova, Elena, 2008. "An efficient methodology for modeling complex computer codes with Gaussian processes," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4731-4744, June.
    61. Dengiz, Berna & İç, Yusuf Tansel & Belgin, Onder, 2016. "A meta-model based simulation optimization using hybrid simulation-analytical modeling to increase the productivity in automotive industry," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 120(C), pages 120-128.
    62. Johannes Ziesmer & Ding Jin & Sneha D Thube & Christian Henning, 2023. "A Dynamic Baseline Calibration Procedure for CGE models," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1331-1368, April.
    63. Javier Cano & David Ríos Insua & Alessandra Tedeschi & Ug̃ur Turhan, 2016. "Security economics: an adversarial risk analysis approach to airport protection," Annals of Operations Research, Springer, vol. 245(1), pages 359-378, October.
    64. Happe, Kathrin & Kellermann, Konrad & Balmann, Alfons, 2006. "Agent-based analysis of agricultural policies: An illustration of the agricultural policy simulator AgriPoliS, its adaptation and behavior," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 11(1).

  54. Kleijnen, J.P.C. & Bettonvil, B.W.M. & van Groenendaal, W.J.H., 1996. "Validation of Simulation Models : Regression Analysis Revisited," Discussion Paper 1996-07, Tilburg University, Center for Economic Research.

    Cited by:

    1. Kleijnen, J.P.C., 1995. "Statistical validation of simulation models : A case study," Other publications TiSEM 4da192cf-c3f4-40a4-aea4-5, Tilburg University, School of Economics and Management.
    2. Kleijnen, Jack P. C., 1995. "Statistical validation of simulation models," European Journal of Operational Research, Elsevier, vol. 87(1), pages 21-34, November.
    3. van Groenendaal, W.J.H. & Kleijnen, J.P.C., 1997. "On the assessment of economic risk : Factorial design versus Monte Carlo methods," Other publications TiSEM fd2a2307-0812-4543-8151-7, Tilburg University, School of Economics and Management.

  55. Cheng, R.C.H. & Kleijnen, J.P.C., 1996. "Improved design of queuing simulation experiments with highly heteroscedastic responses," Discussion Paper 96.68, Tilburg University, Center for Economic Research.

    Cited by:

    1. Kleijnen, J.P.C. & Sanchez, S.M. & Lucas, T.W. & Cioppa, T.M., 2003. "A User's Guide to the Brave New World of Designing Simulation Experiments," Discussion Paper 2003-1, Tilburg University, Center for Economic Research.
    2. Kleijnen, J.P.C., 2004. "An Overview of the Design and Analysis of Simulation Experiments for Sensitivity Analysis," Discussion Paper 2004-16, Tilburg University, Center for Economic Research.
    3. Lucy E. Morgan & Luke Rhodes-Leader & Russell R. Barton, 2022. "Reducing and Calibrating for Input Model Bias in Computer Simulation," INFORMS Journal on Computing, INFORMS, vol. 34(4), pages 2368-2382, July.
    4. Feng Yang & Bruce Ankenman & Barry L. Nelson, 2007. "Efficient generation of cycle time‐throughput curves through simulation and metamodeling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(1), pages 78-93, February.
    5. Yang, Feng & Liu, Jingang, 2012. "Simulation-based transfer function modeling for transient analysis of general queueing systems," European Journal of Operational Research, Elsevier, vol. 223(1), pages 150-166.
    6. Kleijnen, Jack P. C. & van Beers, Wim C. M., 2005. "Robustness of Kriging when interpolating in random simulation with heterogeneous variances: Some experiments," European Journal of Operational Research, Elsevier, vol. 165(3), pages 826-834, September.
    7. Sungmin Park & John W. Fowler & Gerald T. Mackulak & J. Bert Keats & W. Matthew Carlyle, 2002. "D-Optimal Sequential Experiments for Generating a Simulation-Based Cycle Time-Throughput Curve," Operations Research, INFORMS, vol. 50(6), pages 981-990, December.
    8. Sigal Levy & David Steinberg, 2010. "Computer experiments: a review," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(4), pages 311-324, December.
    9. Reis dos Santos, Pedro M. & Isabel Reis dos Santos, M., 2009. "Using subsystem linear regression metamodels in stochastic simulation," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1031-1040, August.

  56. Kleijnen, J.P.C., 1995. "Sensitivity analysis and optimization of system dynamics models : Regression analysis and statistical design of experiments," Discussion Paper 1995-4, Tilburg University, Center for Economic Research.

    Cited by:

    1. Gönenç Yücel & Yaman Barlas, 2011. "Automated parameter specification in dynamic feedback models based on behavior pattern features," System Dynamics Review, System Dynamics Society, vol. 27(2), pages 195-215, April.
    2. Vuillod, Bruno & Montemurro, Marco & Panettieri, Enrico & Hallo, Ludovic, 2023. "A comparison between Sobol’s indices and Shapley’s effect for global sensitivity analysis of systems with independent input variables," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    3. Oliva, Rogelio, 2003. "Model calibration as a testing strategy for system dynamics models," European Journal of Operational Research, Elsevier, vol. 151(3), pages 552-568, December.
    4. Kleijnen, J.P.C., 2006. "White Noise Assumptions Revisited : Regression Models and Statistical Designs for Simulation Practice," Other publications TiSEM d8c37ad3-f9a5-4824-986d-2, Tilburg University, School of Economics and Management.
    5. Mustafa Hekimoğlu & Yaman Barlas & Luis Luna-Reyes, 2016. "Sensitivity analysis for models with multiple behavior modes: a method based on behavior pattern measures," System Dynamics Review, System Dynamics Society, vol. 32(3-4), pages 332-362, July.
    6. Turner, Benjamin L., 2020. "Model laboratories: A quick-start guide for design of simulation experiments for dynamic systems models," Ecological Modelling, Elsevier, vol. 434(C).
    7. Mert Edali, 2022. "Pattern‐oriented analysis of system dynamics models via random forests," System Dynamics Review, System Dynamics Society, vol. 38(2), pages 135-166, April.
    8. Kleijnen, J.P.C., 1997. "Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models," Other publications TiSEM c0e2bc10-e550-4cf2-b649-6, Tilburg University, School of Economics and Management.
    9. Jacqueline Y. Sánchez-García & Juan E. Núñez-Ríos & Carlos López-Hernández & Alejandro Rodríguez-Magaña, 2023. "Modeling Organizational Resilience in SMEs: A System Dynamics Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 29-50, March.
    10. Gradov, Dmitry Vladimirovich & Yusuf, Yusuf Oluwatoki & Ohjainen, Jussi & Suuronen, Jarkko & Eskola, Roope & Roininen, Lassi & Koiranen, Tuomas, 2022. "Modelling of a continuous veneer drying unit of industrial scale and model-based ANOVA of the energy efficiency," Energy, Elsevier, vol. 244(PA).
    11. Daneshzand, Farzaneh & Asali, Mehdi & Al-Sobhi, Saad A. & Diabat, Ali & Elkamel, Ali, 2022. "A simulation-based optimization scheme for phase-out of natural gas subsidies considering welfare and economic measures," Energy, Elsevier, vol. 259(C).
    12. David J. Pannell, 1997. "Sensitivity analysis of normative economic models: theoretical framework and practical strategies," Agricultural Economics, International Association of Agricultural Economists, vol. 16(2), pages 139-152, May.
    13. Sibel Eker & Jill Slinger & Els Daalen & Gönenç Yücel, 2014. "Sensitivity analysis of graphical functions," System Dynamics Review, System Dynamics Society, vol. 30(3), pages 186-205, July.
    14. Kleijnen, J.P.C. & Sargent, R., 1997. "A Methodology for Fitting and Validating Metamodels in Simulation," Discussion Paper 1997-116, Tilburg University, Center for Economic Research.
    15. Kleijnen, J.P.C., 1995. "Sensitivity analysis and related analysis : A survey of statistical techniques," Other publications TiSEM bcf947da-25e3-431d-a1f6-6, Tilburg University, School of Economics and Management.
    16. Diakité, Z.R. & Corson, M.S. & Brunschwig, G. & Baumont, R. & Mosnier, C., 2019. "Profit stability of mixed dairy and beef production systems of the mountain area of southern Auvergne (France) in the face of price variations: Bioeconomic simulation," Agricultural Systems, Elsevier, vol. 171(C), pages 126-134.
    17. Mert Edali & Gönenç Yücel, 2020. "Analysis of an individual‐based influenza epidemic model using random forest metamodels and adaptive sequential sampling," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(6), pages 936-958, November.
    18. Li, Xi & Zheng, Yi & Sun, Zan & Tian, Yong & Zheng, Chunmiao & Liu, Jie & Liu, Shaomin & Xu, Ziwei, 2017. "An integrated ecohydrological modeling approach to exploring the dynamic interaction between groundwater and phreatophytes," Ecological Modelling, Elsevier, vol. 356(C), pages 127-140.
    19. Saleh, Mohamed & Oliva, Rogelio & Kampmann, Christian Erik & Davidsen, Pål I., 2010. "A comprehensive analytical approach for policy analysis of system dynamics models," European Journal of Operational Research, Elsevier, vol. 203(3), pages 673-683, June.
    20. Roberto Leombruni & Matteo Richiardi & Nicole J. Saam & Michele Sonnessa, 2005. "A Common Protocol for Agent-Based Social Simulation," LABORatorio R. Revelli Working Papers Series 47, LABORatorio R. Revelli, Centre for Employment Studies.
    21. Sagawa, Juliana Keiko & Mušič, Gašper, 2019. "Towards the use of bond graphs for manufacturing control: Design of controllers," International Journal of Production Economics, Elsevier, vol. 214(C), pages 53-72.
    22. Yasaman Jalili & David N. Ford, 2016. "Quantifying the impacts of rework, schedule pressure, and ripple effect loops on project schedule performance," System Dynamics Review, System Dynamics Society, vol. 32(1), pages 82-96, January.
    23. Roberto Pasqualino & Aled W. Jones & Irene Monasterolo & Alexander Phillips, 2015. "Understanding Global Systems Today—A Calibration of the World3-03 Model between 1995 and 2012," Sustainability, MDPI, vol. 7(8), pages 1-26, July.
    24. Vonk Noordegraaf, Antonie & Nielen, Mirjam & Kleijnen, Jack P. C., 2003. "Sensitivity analysis by experimental design and metamodelling: Case study on simulation in national animal disease control," European Journal of Operational Research, Elsevier, vol. 146(3), pages 433-443, May.
    25. Gómez Vilchez, Jonatan J. & Jochem, Patrick, 2019. "Simulating vehicle fleet composition: A review of system dynamics models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).

  57. Kleijnen, J.P.C., 1995. "Sensitivity analysis and related analysis : A survey of statistical techniques," Research Memorandum FEW 706, Tilburg University, School of Economics and Management.

    Cited by:

    1. Roberto Leombruni & Matteo Richiardi & Nicole J. Saam & Michele Sonnessa, 2005. "A Common Protocol for Agent-Based Social Simulation," LABORatorio R. Revelli Working Papers Series 47, LABORatorio R. Revelli, Centre for Employment Studies.
    2. Ives, M.C. & Scandol, J.P. & Greenville, J., 2013. "A bio-economic management strategy evaluation for a multi-species, multi-fleet fishery facing a world of uncertainty," Ecological Modelling, Elsevier, vol. 256(C), pages 69-84.

  58. Kleijnen, J.P.C. & Rubinstein, R.Y., 1995. "Optimization and Sensitivity Analysis of Computer Similation Models by the Score Function Method," Papers 9513, Tilburg - Center for Economic Research.

    Cited by:

    1. Millwater, Harry & Singh, Gulshan & Cortina, Miguel, 2012. "Development of a localized probabilistic sensitivity method to determine random variable regional importance," Reliability Engineering and System Safety, Elsevier, vol. 107(C), pages 3-15.
    2. Mingbin Ben Feng & Eunhye Song, 2020. "Efficient Nested Simulation Experiment Design via the Likelihood Ratio Method," Papers 2008.13087, arXiv.org, revised May 2024.
    3. Dang, Ou & Feng, Mingbin & Hardy, Mary R., 2023. "Two-stage nested simulation of tail risk measurement: A likelihood ratio approach," Insurance: Mathematics and Economics, Elsevier, vol. 108(C), pages 1-24.
    4. Wang, Pan & Lu, Zhenzhou & Zhang, Kaichao & Xiao, Sinan & Yue, Zhufeng, 2018. "Copula-based decomposition approach for the derivative-based sensitivity of variance contributions with dependent variables," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 437-450.
    5. Tan, S.Y.G.L. & van Oortmarssen, G.J. & Piersma, N., 2000. "Estimting parameters of a microsimulation model for breast cancer screening using the score function method," Econometric Institute Research Papers EI 2000-35/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Wang, Pan & Lu, Zhenzhou & Ren, Bo & Cheng, Lei, 2013. "The derivative based variance sensitivity analysis for the distribution parameters and its computation," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 305-315.
    7. Arsham Hossein, 2007. "Monte Carlo Techniques for Parametric Finite Multidimensional Integral Equations," Monte Carlo Methods and Applications, De Gruyter, vol. 13(3), pages 173-195, August.
    8. Shih, Neng-Hui, 1999. "The sensitivity analysis of binary networks via simulation," European Journal of Operational Research, Elsevier, vol. 114(3), pages 602-609, May.

  59. Kleijnen, J.P.C., 1995. "Statistical validation of simulation models : A case study," Discussion Paper 1995-42, Tilburg University, Center for Economic Research.

    Cited by:

    1. Kleijnen, J.P.C. & Sanchez, S.M. & Lucas, T.W. & Cioppa, T.M., 2003. "A User's Guide to the Brave New World of Designing Simulation Experiments," Discussion Paper 2003-1, Tilburg University, Center for Economic Research.
    2. Kleijnen, J.P.C., 1997. "Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models," Other publications TiSEM c0e2bc10-e550-4cf2-b649-6, Tilburg University, School of Economics and Management.
    3. Tuffa, Samuel & Treydte, Anna C., 2017. "Modeling Boran cattle populations under climate change and varying carrying capacity," Ecological Modelling, Elsevier, vol. 352(C), pages 113-127.
    4. Kleijnen, J.P.C., 2006. "Regression Models and Experimental Designs : A Tutorial for Simulation Analaysts," Discussion Paper 2006-10, Tilburg University, Center for Economic Research.
    5. Kleijnen, J.P.C. & Sargent, R., 1997. "A Methodology for Fitting and Validating Metamodels in Simulation," Discussion Paper 1997-116, Tilburg University, Center for Economic Research.
    6. Ilan Halachmi & Yitzhak Simon & Noam Mozes, 2014. "Simulation of the shift from marine netcages to inland recirculating aquaculture systems," Annals of Operations Research, Springer, vol. 219(1), pages 85-99, August.
    7. Kleijnen, J.P.C., 2005. "Supply chain simulation tools and techniques : A survey," Other publications TiSEM d0050225-57bd-4114-ab15-7, Tilburg University, School of Economics and Management.
    8. Halachmi, I. & Dzidic, A. & Metz, J. H. M. & Speelman, L. & Dijkhuizen, A. A. & Kleijnen, J. P. C., 2001. "Validation of simulation model for robotic milking barn design," European Journal of Operational Research, Elsevier, vol. 134(3), pages 677-688, November.
    9. Kleijnen, J. P. C., 2001. "Ethical issues in modeling: Some reflections," European Journal of Operational Research, Elsevier, vol. 130(1), pages 223-230, April.

  60. Kleijnen, J.P.C. & Rubinstein, R.Y., 1994. "Monte Carlo sampling and variance reduction techniques," Discussion Paper 1994-1, Tilburg University, Center for Economic Research.

    Cited by:

    1. Schmitt, Christian, 1996. "Option pricing using EGARCH models," ZEW Discussion Papers 96-20, ZEW - Leibniz Centre for European Economic Research.

  61. Bettonvil, B. & Kleijnen, J.P.C., 1994. "Identifying the important factors in simulation models with many factors," Discussion Paper 1994-114, Tilburg University, Center for Economic Research.

    Cited by:

    1. Kleijnen, J.P.C., 1990. "Sensitivity analysis of simulation experiments : Regression analysis and statistical design," Other publications TiSEM 25aee5db-38eb-4e05-b032-2, Tilburg University, School of Economics and Management.
    2. Kleijnen, J.P.C., 1995. "Statistical validation of simulation models : A case study," Other publications TiSEM 4da192cf-c3f4-40a4-aea4-5, Tilburg University, School of Economics and Management.
    3. Kleijnen, J.P.C. & Alink, G.A., 1992. "Validation of simulation models : Mine-hunting case-study," Research Memorandum FEW 537, Tilburg University, School of Economics and Management.
    4. Kleijnen, Jack P. C., 1995. "Statistical validation of simulation models," European Journal of Operational Research, Elsevier, vol. 87(1), pages 21-34, November.
    5. Kleijnen, Jack P. C., 1995. "Verification and validation of simulation models," European Journal of Operational Research, Elsevier, vol. 82(1), pages 145-162, April.
    6. Kleijnen, J.P.C., 1995. "Sensitivity analysis and optimization of system dynamics models : Regression analysis and statistical design of experiments," Discussion Paper 1995-4, Tilburg University, Center for Economic Research.

  62. Kleijnen, J.P.C. & van Groenendaal, W.J.H., 1994. "Two-stage versus sequential sample-size determination in regression analysis of simulation experiments," Discussion Paper 1994-28, Tilburg University, Center for Economic Research.

    Cited by:

    1. Kleijnen, J.P.C., 2007. "Simulation Experiments in Practice : Statistical Design and Regression Analysis," Other publications TiSEM d4bee6b0-7a00-4695-85ed-6, Tilburg University, School of Economics and Management.
    2. Kleijnen, J.P.C., 2006. "White Noise Assumptions Revisited : Regression Models and Statistical Designs for Simulation Practice," Other publications TiSEM d8c37ad3-f9a5-4824-986d-2, Tilburg University, School of Economics and Management.
    3. van Beers, W.C.M. & Kleijnen, J.P.C., 2001. "Kriging for Interpolation in Random Simulation," Other publications TiSEM e007110c-e224-484d-92f0-c, Tilburg University, School of Economics and Management.
    4. Kleijnen, J.P.C., 1997. "Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models," Other publications TiSEM c0e2bc10-e550-4cf2-b649-6, Tilburg University, School of Economics and Management.
    5. Cheng, R.C.H. & Kleijnen, J.P.C., 1996. "Improved design of queuing simulation experiments with highly heteroscedastic responses," Other publications TiSEM d8a325a9-82bf-4d23-839e-2, Tilburg University, School of Economics and Management.
    6. Kleijnen, Jack P. C. & van Beers, Wim C. M., 2005. "Robustness of Kriging when interpolating in random simulation with heterogeneous variances: Some experiments," European Journal of Operational Research, Elsevier, vol. 165(3), pages 826-834, September.

  63. Kleijnen, J.P.C., 1992. "Verification and validation of simulation models," Research Memorandum FEW 542, Tilburg University, School of Economics and Management.

    Cited by:

    1. Yaron Hollander & Ronghui Liu, 2008. "The principles of calibrating traffic microsimulation models," Transportation, Springer, vol. 35(3), pages 347-362, May.
    2. Lei, Xu & Xin-gang, Zhao, 2023. "The synergistic effect between Renewable Portfolio Standards and carbon emission trading system: A perspective of China," Renewable Energy, Elsevier, vol. 211(C), pages 1010-1023.
    3. Kleijnen, J.P.C. & Bettonvil, B.W.M. & van Groenendaal, W.J.H., 1996. "Validation of Simulation Models : Regression Analysis Revisited," Other publications TiSEM 4891f156-fe9c-4360-b82d-3, Tilburg University, School of Economics and Management.
    4. Fraedrich, D. & Goldberg, A., 2000. "A methodological framework for the validation of predictive simulations," European Journal of Operational Research, Elsevier, vol. 124(1), pages 55-62, July.
    5. Aleksandrina Goeva & Henry Lam & Huajie Qian & Bo Zhang, 2019. "Optimization-Based Calibration of Simulation Input Models," Operations Research, INFORMS, vol. 67(5), pages 1362-1382, September.
    6. Yasar A. Ozcan & Elena Tànfani & Angela Testi, 2017. "Improving the performance of surgery-based clinical pathways: a simulation-optimization approach," Health Care Management Science, Springer, vol. 20(1), pages 1-15, March.
    7. Kleijnen, Jack P.C., 2011. "Ethical issues in engineering models : An operations researcher's reflections," Other publications TiSEM 88caba9e-1d78-47d7-9a0b-b, Tilburg University, School of Economics and Management.
    8. Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
    9. Christopher J Lynch & Saikou Y Diallo & Hamdi Kavak & Jose J Padilla, 2020. "A content analysis-based approach to explore simulation verification and identify its current challenges," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-33, May.
    10. Utomo, Dhanan Sarwo & Onggo, Bhakti Stephan & Eldridge, Stephen, 2018. "Applications of agent-based modelling and simulation in the agri-food supply chains," European Journal of Operational Research, Elsevier, vol. 269(3), pages 794-805.
    11. Pau Fonseca i Casas, 2023. "A Continuous Process for Validation, Verification, and Accreditation of Simulation Models," Mathematics, MDPI, vol. 11(4), pages 1-25, February.
    12. Ernesto A. Lagarda-Leyva & Alfredo Bueno-Solano & Luis F. Morales-Mendoza, 2022. "System Dynamics and Graphical Interface Modeling of a Fig-Derived Micro-Producer Factory," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    13. Ying, Zhou & Xin-gang, Zhao, 2021. "The impact of Renewable Portfolio Standards on carbon emission trading under the background of China’s electricity marketization reform," Energy, Elsevier, vol. 226(C).
    14. Sander Hoog, 2019. "Surrogate Modelling in (and of) Agent-Based Models: A Prospectus," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1245-1263, March.
    15. Onggo, Bhakti Stephan & Karatas, Mumtaz, 2016. "Test-driven simulation modelling: A case study using agent-based maritime search-operation simulation," European Journal of Operational Research, Elsevier, vol. 254(2), pages 517-531.
    16. Kleijnen, J.P.C., 1997. "Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models," Other publications TiSEM c0e2bc10-e550-4cf2-b649-6, Tilburg University, School of Economics and Management.
    17. Jae H. Kim & Andrew P. Robinson, 2019. "Interval-Based Hypothesis Testing and Its Applications to Economics and Finance," Econometrics, MDPI, vol. 7(2), pages 1-22, May.
    18. Kleijnen, Jack P. C., 1995. "Statistical validation of simulation models," European Journal of Operational Research, Elsevier, vol. 87(1), pages 21-34, November.
    19. Robinson, Stewart, 2002. "General concepts of quality for discrete-event simulation," European Journal of Operational Research, Elsevier, vol. 138(1), pages 103-117, April.
    20. Thomas Rohleder & Diane Bischak & Leland Baskin, 2007. "Modeling patient service centers with simulation and system dynamics," Health Care Management Science, Springer, vol. 10(1), pages 1-12, February.
    21. Fernando Alarid-Escudero & Eline M. Krijkamp & Petros Pechlivanoglou & Hawre Jalal & Szu-Yu Zoe Kao & Alan Yang & Eva A. Enns, 2019. "A Need for Change! A Coding Framework for Improving Transparency in Decision Modeling," PharmacoEconomics, Springer, vol. 37(11), pages 1329-1339, November.
    22. Hübl, Alexander & Jodlbauer, Herbert & Altendorfer, Klaus, 2013. "Influence of dispatching rules on average production lead time for multi-stage production systems," International Journal of Production Economics, Elsevier, vol. 144(2), pages 479-484.
    23. H. Christopher Frey & Sumeet R. Patil, 2002. "Identification and Review of Sensitivity Analysis Methods," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 553-578, June.
    24. James E. Gentile & Gregory J. Davis & Samuel S. C. Rund, 2012. "Verifying agent-based models with steady-state analysis," Computational and Mathematical Organization Theory, Springer, vol. 18(4), pages 404-418, December.
    25. Faustino Prieto & José María Sarabia & Enrique Calderín-Ojeda, 2021. "The nonlinear distribution of employment across municipalities," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(2), pages 287-307, April.
    26. Legato, Pasquale & Mazza, Rina M., 2001. "Berth planning and resources optimisation at a container terminal via discrete event simulation," European Journal of Operational Research, Elsevier, vol. 133(3), pages 537-547, September.
    27. P. Troy & N. Lahrichi & D. Porubska & L. Rosenberg, 2020. "Fine-grained simulation optimization for the design and operations of a multi-activity clinic," Flexible Services and Manufacturing Journal, Springer, vol. 32(3), pages 599-628, September.
    28. Edris Yousefi Rad & Mohammad Reza Mahpeykar, 2017. "A Novel Hybrid Approach for Numerical Modeling of the Nucleating Flow in Laval Nozzle and Transonic Steam Turbine Blades," Energies, MDPI, vol. 10(9), pages 1-37, August.
    29. Durowoju, Olatunde A. & Chan, Hing Kai & Wang, Xiaojun & Akenroye, Temidayo, 2021. "Supply chain redesign implications to information disruption impact," International Journal of Production Economics, Elsevier, vol. 232(C).
    30. MacPherson, Brian & Gras, Robin, 2016. "Individual-based ecological models: Adjunctive tools or experimental systems?," Ecological Modelling, Elsevier, vol. 323(C), pages 106-114.
    31. Clazien J. De Vos & Helmut W. Saatkamp & Mirjam Nielen & Ruud B. M. Huirne, 2006. "Sensitivity Analysis to Evaluate the Impact of Uncertain Factors in a Scenario Tree Model for Classical Swine Fever Introduction," Risk Analysis, John Wiley & Sons, vol. 26(5), pages 1311-1322, October.
    32. Tunali, S. & Batmaz, I., 2003. "A metamodeling methodology involving both qualitative and quantitative input factors," European Journal of Operational Research, Elsevier, vol. 150(2), pages 437-450, October.
    33. Tannock, James & Cao, Bing & Farr, Richard & Byrne, Mike, 2007. "Data-driven simulation of the supply-chain--Insights from the aerospace sector," International Journal of Production Economics, Elsevier, vol. 110(1-2), pages 70-84, October.
    34. Rohit Kapoor & Bhavin J. Shah, 2016. "Simulation model for closed loop repairable parts inventory system with service level performance measures," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 23(1), pages 18-42.
    35. Chi, Yuan-ying & Zhao, Hao & Hu, Yu & Yuan, Yong-ke & Pang, Yue-xia, 2022. "The impact of allocation methods on carbon emission trading under electricity marketization reform in China: A system dynamics analysis," Energy, Elsevier, vol. 259(C).
    36. Patrick Afflerbach & Christopher Dun & Henner Gimpel & Dominik Parak & Johannes Seyfried, 2021. "A Simulation-Based Approach to Understanding the Wisdom of Crowds Phenomenon in Aggregating Expert Judgment," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(4), pages 329-348, August.
    37. Kleijnen, J.P.C. & Sargent, R., 1997. "A Methodology for Fitting and Validating Metamodels in Simulation," Discussion Paper 1997-116, Tilburg University, Center for Economic Research.
    38. Ao, Dan & Hu, Zhen & Mahadevan, Sankaran, 2017. "Design of validation experiments for life prediction models," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 22-33.
    39. Stinstra, E., 2006. "The meta-model approach for simulation-based design optimization," Other publications TiSEM 713f828a-4716-4a19-af00-e, Tilburg University, School of Economics and Management.
    40. Batmaz, Inci & Tunali, Semra, 2003. "Small response surface designs for metamodel estimation," European Journal of Operational Research, Elsevier, vol. 145(2), pages 455-470, March.
    41. Ilan Halachmi & Yitzhak Simon & Noam Mozes, 2014. "Simulation of the shift from marine netcages to inland recirculating aquaculture systems," Annals of Operations Research, Springer, vol. 219(1), pages 85-99, August.
    42. Labaka, Leire & Hernantes, Josune & Sarriegi, Jose M., 2015. "Resilience framework for critical infrastructures: An empirical study in a nuclear plant," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 92-105.
    43. Amro Khasawneh & Kapil Chalil Madathil & Kevin M. Taaffe & Heidi Zinzow & Amal Ponathil & Sreenath Chalil Madathil & Siddhartha Nambiar & Gaurav Nanda & Patrick J. Rosopa, 2022. "Dynamic simulation of social media challenge participation to examine intervention strategies," Journal of Computational Social Science, Springer, vol. 5(2), pages 1637-1662, November.
    44. Diaz, Rafael & Behr, Joshua G. & Acero, Beatriz, 2022. "Coastal housing recovery in a postdisaster environment: A supply chain perspective," International Journal of Production Economics, Elsevier, vol. 247(C).
    45. Aros, Susan K. & Gibbons, Deborah E., 2018. "Exploring communication media options in an inter-organizational disaster response coordination network using agent-based simulation," European Journal of Operational Research, Elsevier, vol. 269(2), pages 451-465.
    46. Kleijnen, J.P.C., 1995. "Sensitivity analysis and optimization of system dynamics models : Regression analysis and statistical design of experiments," Discussion Paper 1995-4, Tilburg University, Center for Economic Research.
    47. José Manuel Galán & Luis R. Izquierdo & Segismundo S. Izquierdo & José Ignacio Santos & Ricardo del Olmo & Adolfo López-Paredes & Bruce Edmonds, 2009. "Errors and Artefacts in Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-1.
    48. Meiyan Wang & Chen Chen & Bingxin Fan & Zilu Yin & Wenxuan Li & Huifang Wang & Fang’ai Chi, 2023. "Multi-Objective Optimization of Envelope Design of Rural Tourism Buildings in Southeastern Coastal Areas of China Based on NSGA-II Algorithm and Entropy-Based TOPSIS Method," Sustainability, MDPI, vol. 15(9), pages 1-27, April.
    49. Mário Amorim Lopes & Álvaro Santos Almeida & Bernardo Almada-Lobo, 2018. "Forecasting the medical workforce: a stochastic agent-based simulation approach," Health Care Management Science, Springer, vol. 21(1), pages 52-75, March.
    50. Ernesto A. Lagarda-Leyva & María Paz Guadalupe Acosta-Quintana & Javier Portugal-Vásquez & Arnulfo A. Naranjo-Flores & Alfredo Bueno-Solano, 2023. "System Dynamics and Sustainable Solution: The Case in a Large-Scale Pallet Manufacturing Company," Sustainability, MDPI, vol. 15(15), pages 1-21, July.
    51. Jack P. C. Kleijnen & Bert Bettonvil & Willem Van Groenendaal, 1998. "Validation of Trace-Driven Simulation Models: A Novel Regression Test," Management Science, INFORMS, vol. 44(6), pages 812-819, June.
    52. Erin D. Zwick & Caitlin S. Pepperell & Oguzhan Alagoz, 2021. "Representing Tuberculosis Transmission with Complex Contagion: An Agent-Based Simulation Modeling Approach," Medical Decision Making, , vol. 41(6), pages 641-652, August.
    53. Halachmi, I. & Dzidic, A. & Metz, J. H. M. & Speelman, L. & Dijkhuizen, A. A. & Kleijnen, J. P. C., 2001. "Validation of simulation model for robotic milking barn design," European Journal of Operational Research, Elsevier, vol. 134(3), pages 677-688, November.
    54. Schwarzbauer, Peter & Weinfurter, Stefan & Stern, Tobias & Koch, Sebastian, 2013. "Economic crises: Impacts on the forest-based sector and wood-based energy use in Austria," Forest Policy and Economics, Elsevier, vol. 27(C), pages 13-22.
    55. Craighead, Christopher W. & Patterson, J. Wayne & Fredendall, Lawrence D., 2001. "Protective capacity positioning: Impact on manufacturing cell performance," European Journal of Operational Research, Elsevier, vol. 134(2), pages 425-438, October.
    56. Janová, Jitka & Hampel, David & Nerudová, Danuše, 2019. "Design and validation of a tax sustainability index," European Journal of Operational Research, Elsevier, vol. 278(3), pages 916-926.
    57. Arias-Gaviria, Jessica & Larsen, Erik R. & Arango-Aramburo, Santiago, 2018. "Understanding the future of Seawater Air Conditioning in the Caribbean: A simulation approach," Utilities Policy, Elsevier, vol. 53(C), pages 73-83.
    58. Angela Testi & Elena Tanfani & Giancarlo Torre, 2007. "A three-phase approach for operating theatre schedules," Health Care Management Science, Springer, vol. 10(2), pages 163-172, June.
    59. Dion, Elise & VanSchalkwyk, Louis & Lambin, Eric F., 2011. "The landscape epidemiology of foot-and-mouth disease in South Africa: A spatially explicit multi-agent simulation," Ecological Modelling, Elsevier, vol. 222(13), pages 2059-2072.
    60. Rempel, Alexandra R. & Rempel, Alan W. & Gates, Kenneth R. & Shaw, Barbara, 2016. "Climate-responsive thermal mass design for Pacific Northwest sunspaces," Renewable Energy, Elsevier, vol. 85(C), pages 981-993.
    61. Ponte, Borja & Costas, José & Puche, Julio & Pino, Raúl & de la Fuente, David, 2018. "The value of lead time reduction and stabilization: A comparison between traditional and collaborative supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 165-185.
    62. Kleijnen, J. P. C., 2001. "Ethical issues in modeling: Some reflections," European Journal of Operational Research, Elsevier, vol. 130(1), pages 223-230, April.
    63. Ekren, Orhan & Ekren, Banu Yetkin, 2008. "Size optimization of a PV/wind hybrid energy conversion system with battery storage using response surface methodology," Applied Energy, Elsevier, vol. 85(11), pages 1086-1101, November.
    64. Strang, Kenneth David, 2012. "Importance of verifying queue model assumptions before planning with simulation software," European Journal of Operational Research, Elsevier, vol. 218(2), pages 493-504.
    65. Martin Comis & Catherine Cleophas & Christina Büsing, 2021. "Patients, primary care, and policy: Agent-based simulation modeling for health care decision support," Health Care Management Science, Springer, vol. 24(4), pages 799-826, December.
    66. Vanga, Ratnaji & Venkateswaran, Jayendran, 2020. "Fleet sizing of reusable articles under uncertain demand and turnaround times," European Journal of Operational Research, Elsevier, vol. 285(2), pages 566-582.
    67. Noguera, Jose H. & Watson, Edward F., 2006. "Response surface analysis of a multi-product batch processing facility using a simulation metamodel," International Journal of Production Economics, Elsevier, vol. 102(2), pages 333-343, August.
    68. Kerryn R Owen & Ripon K Chakrabortty, 2024. "Verification, validation, and accreditation for models and simulations in the Australian defence context: a review," The Journal of Defense Modeling and Simulation, , vol. 21(2), pages 205-227, April.
    69. Sander van der Hoog, 2017. "Deep Learning in (and of) Agent-Based Models: A Prospectus," Papers 1706.06302, arXiv.org.
    70. Navarro, Andres & Tapiador, Francisco J., 2019. "RUSEM: A numerical model for policymaking and climate applications," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    71. Ekren, Orhan & Ekren, Banu Y. & Ozerdem, Baris, 2009. "Break-even analysis and size optimization of a PV/wind hybrid energy conversion system with battery storage - A case study," Applied Energy, Elsevier, vol. 86(7-8), pages 1043-1054, July.
    72. Aumann, Craig A., 2007. "A methodology for developing simulation models of complex systems," Ecological Modelling, Elsevier, vol. 202(3), pages 385-396.
    73. Ernesto A. Lagarda-Leyva & Angel Ruiz & Luis Fernando Morales-Mendoza, 2024. "A System Dynamics Approach to Valorize Overripe Figs in the Brewing of Artisanal Beer," Sustainability, MDPI, vol. 16(4), pages 1-14, February.
    74. Kathrin Eismann, 2021. "Diffusion and persistence of false rumors in social media networks: implications of searchability on rumor self-correction on Twitter," Journal of Business Economics, Springer, vol. 91(9), pages 1299-1329, November.
    75. Giuliano Rancilio & Alexandre Lucas & Evangelos Kotsakis & Gianluca Fulli & Marco Merlo & Maurizio Delfanti & Marcelo Masera, 2019. "Modeling a Large-Scale Battery Energy Storage System for Power Grid Application Analysis," Energies, MDPI, vol. 12(17), pages 1-26, August.
    76. Wang, Kung-Jeng & Lee, Kun-Shan & Liao, Jia-Hong, 2019. "Technology cooperation modeling of multiple profit-centered business units: A system dynamics framework," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 162(C), pages 195-220.

  64. Kleijnen, J.P.C. & Alink, G.A., 1992. "Validation of simulation models : Mine-hunting case-study," Research Memorandum FEW 537, Tilburg University, School of Economics and Management.

    Cited by:

    1. Kleijnen, Jack P. C., 1995. "Verification and validation of simulation models," European Journal of Operational Research, Elsevier, vol. 82(1), pages 145-162, April.

  65. Kleijnen, J.P.C. & van Ham, G. & Rotmans, J., 1990. "Techniques for sensitivity analysis of simulation models : A case study of the CO2 greenhouse effect," Research Memorandum 448, Tilburg University, School of Economics and Management.

    Cited by:

    1. Kleijnen, J.P.C., 1995. "Sensitivity analysis and related analysis : A survey of statistical techniques," Other publications TiSEM bcf947da-25e3-431d-a1f6-6, Tilburg University, School of Economics and Management.

  66. van Eijs, M.J.G. & Heuts, R.M.J. & Kleijnen, J.P.C., 1990. "Analysis and comparison of two strategies for multi-item inventory systems with joint replenishment costs," Research Memorandum FEW 436, Tilburg University, School of Economics and Management.

    Cited by:

    1. Arreola-Risa, Antonio & Giménez-García, Víctor M. & Martínez-Parra, José Luis, 2011. "Optimizing stochastic production-inventory systems: A heuristic based on simulation and regression analysis," European Journal of Operational Research, Elsevier, vol. 213(1), pages 107-118, August.
    2. Jen-Yen Lin & Ming-Jong Yao, 2020. "The joint replenishment problem with trade credits," Journal of Global Optimization, Springer, vol. 76(2), pages 347-382, February.
    3. Tsai, Chi-Yang & Yeh, Szu-Wei, 2008. "A multiple objective particle swarm optimization approach for inventory classification," International Journal of Production Economics, Elsevier, vol. 114(2), pages 656-666, August.
    4. Muriel, Ana & Chugh, Tammana & Prokle, Michael, 2022. "Efficient algorithms for the joint replenishment problem with minimum order quantities," European Journal of Operational Research, Elsevier, vol. 300(1), pages 137-150.
    5. Khouja, Moutaz & Goyal, Suresh, 2008. "A review of the joint replenishment problem literature: 1989-2005," European Journal of Operational Research, Elsevier, vol. 186(1), pages 1-16, April.
    6. Cui, Ligang & Deng, Jie & Liu, Rui & Xu, Dongyang & Zhang, Yajun & Xu, Maozeng, 2020. "A stochastic multi-item replenishment and delivery problem with lead-time reduction initiatives and the solving methodologies," Applied Mathematics and Computation, Elsevier, vol. 374(C).
    7. Wildeman, R.E. & Dekker, R., 1996. "Dynamic Influences in Multi-Component Maintenance," Econometric Institute Research Papers EI 9630-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Wang, Lin & He, Jing & Wu, Desheng & Zeng, Yu-Rong, 2012. "A novel differential evolution algorithm for joint replenishment problem under interdependence and its application," International Journal of Production Economics, Elsevier, vol. 135(1), pages 190-198.
    9. Rommert Dekker & Ralph Wildeman & Frank Duyn Schouten, 1997. "A review of multi-component maintenance models with economic dependence," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 45(3), pages 411-435, October.
    10. van Eijs, M.J.G., 1990. "Two notes on the joint replenishment problem under constant demand," Other publications TiSEM 53935d34-b410-403e-895d-9, Tilburg University, School of Economics and Management.
    11. Ongkunaruk, P. & Wahab, M.I.M. & Chen, Y., 2016. "A genetic algorithm for a joint replenishment problem with resource and shipment constraints and defective items," International Journal of Production Economics, Elsevier, vol. 175(C), pages 142-152.
    12. van Eijs, M.J.G., 1990. "Two notes on the joint replenishment problem under constant demand," Research Memorandum FEW 453, Tilburg University, School of Economics and Management.
    13. Olsen, Anne L., 2008. "Inventory replenishment with interdependent ordering costs: An evolutionary algorithm solution," International Journal of Production Economics, Elsevier, vol. 113(1), pages 359-369, May.

  67. Kleijnen, J.P.C., 1990. "Statistics and deterministic simulation models : Why not?," Research Memorandum FEW 435, Tilburg University, School of Economics and Management.

    Cited by:

    1. Kleijnen, J.P.C., 1990. "Sensitivity analysis of simulation experiments : Regression analysis and statistical design," Other publications TiSEM 25aee5db-38eb-4e05-b032-2, Tilburg University, School of Economics and Management.

  68. Kleijnen, J.P.C., 1990. "Sensitivity analysis of simulation experiments : Regression analysis and statistical design," Research Memorandum FEW 440, Tilburg University, School of Economics and Management.

    Cited by:

    1. Reis dos Santos, M. Isabel & Reis dos Santos, Pedro M., 2016. "Switching regression metamodels in stochastic simulation," European Journal of Operational Research, Elsevier, vol. 251(1), pages 142-147.
    2. G.B.C. Backus & G.Th. Timmer & A.A. Dijkhuizen & V.R. Eidman & F. Vos, 1995. "A decision support system for strategic planning on pig farms," Agricultural Economics, International Association of Agricultural Economists, vol. 13(2), pages 101-108, November.
    3. Storlie, Curtis B. & Helton, Jon C., 2008. "Multiple predictor smoothing methods for sensitivity analysis: Description of techniques," Reliability Engineering and System Safety, Elsevier, vol. 93(1), pages 28-54.
    4. Salameh, F. & Picot, A. & Chabert, M. & Maussion, P., 2017. "Regression methods for improved lifespan modeling of low voltage machine insulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 131(C), pages 200-216.
    5. Helton, Jon C. & Hansen, Clifford W. & Sallaberry, Cédric J., 2012. "Uncertainty and sensitivity analysis in performance assessment for the proposed high-level radioactive waste repository at Yucca Mountain, Nevada," Reliability Engineering and System Safety, Elsevier, vol. 107(C), pages 44-63.
    6. Helton, Jon C., 2011. "Quantification of margins and uncertainties: Conceptual and computational basis," Reliability Engineering and System Safety, Elsevier, vol. 96(9), pages 976-1013.
    7. Huyet, A.L., 2006. "Optimization and analysis aid via data-mining for simulated production systems," European Journal of Operational Research, Elsevier, vol. 173(3), pages 827-838, September.
    8. Graham, Tennille & White, Benedict & Pannell, David J., 2003. "Efficiency Policies for Salinity Management: Preliminary Research from a Spatial and Dynamic Metamodel," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57879, Australian Agricultural and Resource Economics Society.
    9. David J. Pannell, 1997. "Sensitivity analysis of normative economic models: theoretical framework and practical strategies," Agricultural Economics, International Association of Agricultural Economists, vol. 16(2), pages 139-152, May.
    10. Graham, Tennille, 2005. "On the Road to Better Management: An investigation into the benefits of managing the impacts of dryland salinity on roads," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137921, Australian Agricultural and Resource Economics Society.
    11. Priyanka Majumder & Arnab Paul & Pratik Saha & Mrinmoy Majumder & Dayarnab Baidya & Dhritiman Saha, 2023. "Trapezoidal fuzzy BWM-TOPSIS approach and application on water resources," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2648-2669, March.
    12. Sallaberry, C.J. & Helton, J.C. & Hora, S.C., 2008. "Extension of Latin hypercube samples with correlated variables," Reliability Engineering and System Safety, Elsevier, vol. 93(7), pages 1047-1059.
    13. Roberto Leombruni & Matteo Richiardi & Nicole J. Saam & Michele Sonnessa, 2005. "A Common Protocol for Agent-Based Social Simulation," LABORatorio R. Revelli Working Papers Series 47, LABORatorio R. Revelli, Centre for Employment Studies.
    14. Bozağaç, Doruk & Batmaz, İnci & Oğuztüzün, Halit, 2016. "Dynamic simulation metamodeling using MARS: A case of radar simulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 124(C), pages 69-86.
    15. Helton, J.C. & Johnson, J.D. & Sallaberry, C.J. & Storlie, C.B., 2006. "Survey of sampling-based methods for uncertainty and sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1175-1209.
    16. Tilottama Chakraborty & Mrinmoy Majumder, 2019. "Application of statistical charts, multi-criteria decision making and polynomial neural networks in monitoring energy utilization of wave energy converters," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(1), pages 199-219, February.
    17. Soumya Ghosh & Mrinmoy Majumder & Manish Pal, 2018. "Application of metaheuristic algorithm to identify priority parameters for the selection of feasible location having optimum wave energy potential," Energy & Environment, , vol. 29(1), pages 3-28, February.

  69. Kleijnen, J.P.C. & Annink, B., 1989. "Pseudorandom number generators revisited," Research Memorandum FEW 388, Tilburg University, School of Economics and Management.

    Cited by:

    1. Kleijnen, J.P.C. & Annink, B., 1989. "Supercomputers, Monte Carlo simulation and regression analysis," Research Memorandum FEW 402, Tilburg University, School of Economics and Management.

  70. Kleijnen, J.P.C. & Adams, N., 1989. "Pseudorandom number generation on supercomputers," Research Memorandum FEW 378, Tilburg University, School of Economics and Management.

    Cited by:

    1. Kleijnen, J.P.C. & Annink, B., 1989. "Pseudorandom number generators revisited," Research Memorandum FEW 388, Tilburg University, School of Economics and Management.

  71. Bettonvil, B.W.M. & Kleijnen, J.P.C., 1988. "Measurement scales and resolution IV designs : A note (Version 3)," Research Memorandum FEW 301, Tilburg University, School of Economics and Management.

    Cited by:

    1. Kleijnen, J.P.C., 1988. "Simulation and optimization in production planning : A case study (Version 2)," Other publications TiSEM 97a8a024-2229-4f33-8edb-1, Tilburg University, School of Economics and Management.

  72. Kleijnen, J.P.C., 1988. "Simulation and optimization in production planning : A case study (Version 2)," Research Memorandum FEW 308, Tilburg University, School of Economics and Management.

    Cited by:

    1. Kleijnen, J.P.C., 1990. "Sensitivity analysis of simulation experiments : Regression analysis and statistical design," Other publications TiSEM 25aee5db-38eb-4e05-b032-2, Tilburg University, School of Economics and Management.

  73. Kleijnen, J.P.C., 1988. "Analyzing simulation experiments with common random number, part II : Rao's approach," Research Memorandum FEW 332, Tilburg University, School of Economics and Management.

    Cited by:

    1. Barry L. Nelson, 2004. "50th Anniversary Article: Stochastic Simulation Research in Management Science," Management Science, INFORMS, vol. 50(7), pages 855-868, July.

  74. Kleijnen, J.P.C. & van Groenendaal, W.J.H., 1986. "Regression analysis of factoral designs with sequential replication," Research Memorandum FEW 215, Tilburg University, School of Economics and Management.

    Cited by:

    1. Kleijnen, J.P.C. & Karremans, P. & Oortwijn, W., 1986. "Jackknifing estimated weighted least squares," Research Memorandum FEW 228, Tilburg University, School of Economics and Management.

  75. Kleijnen, J.P.C. & Standridge, C.R., 1986. "Experimental design and regression analysis in simulation : An FMS case study," Research Memorandum FEW 212, Tilburg University, School of Economics and Management.

    Cited by:

    1. Kleijnen, J.P.C., 1990. "Sensitivity analysis of simulation experiments : Regression analysis and statistical design," Other publications TiSEM 25aee5db-38eb-4e05-b032-2, Tilburg University, School of Economics and Management.
    2. Durieux, Severine & Pierreval, Henri, 2004. "Regression metamodeling for the design of automated manufacturing system composed of parallel machines sharing a material handling resource," International Journal of Production Economics, Elsevier, vol. 89(1), pages 21-30, May.
    3. Ruben, Ruerd & van Ruijven, Arjan, 2001. "Technical coefficients for bio-economic farm household models: a meta-modelling approach with applications for Southern Mali," Ecological Economics, Elsevier, vol. 36(3), pages 427-441, March.
    4. Jin, Ding & Hedtrich, Johannes & Henning, Christian, 2018. "Applying Meta modeling for extended CGE-modeling: Sample techniques and potential application," Conference papers 332947, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    5. Kleijnen, J.P.C., 1997. "Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models," Other publications TiSEM c0e2bc10-e550-4cf2-b649-6, Tilburg University, School of Economics and Management.
    6. Ali Kokangul & Serap Akcan & Mufide Narli, 2017. "Optimizing nurse capacity in a teaching hospital neonatal intensive care unit," Health Care Management Science, Springer, vol. 20(2), pages 276-285, June.
    7. Kleijnen, J.P.C., 2006. "Regression Models and Experimental Designs : A Tutorial for Simulation Analaysts," Discussion Paper 2006-10, Tilburg University, Center for Economic Research.
    8. Kleijnen, Jack P.C. & Pierreval, H. & Zhang, J., 2009. "When is the design of a manufacturing system acceptable in the presence of uncertainty?," Other publications TiSEM 58fba7c4-8fd2-44d4-8ec3-f, Tilburg University, School of Economics and Management.
    9. Vinod, V. & Sridharan, R., 2011. "Simulation modeling and analysis of due-date assignment methods and scheduling decision rules in a dynamic job shop production system," International Journal of Production Economics, Elsevier, vol. 129(1), pages 127-146, January.
    10. Kleijnen, J.P.C. & Sargent, R., 1997. "A Methodology for Fitting and Validating Metamodels in Simulation," Discussion Paper 1997-116, Tilburg University, Center for Economic Research.
    11. Batmaz, Inci & Tunali, Semra, 2003. "Small response surface designs for metamodel estimation," European Journal of Operational Research, Elsevier, vol. 145(2), pages 455-470, March.
    12. Ilan Halachmi & Yitzhak Simon & Noam Mozes, 2014. "Simulation of the shift from marine netcages to inland recirculating aquaculture systems," Annals of Operations Research, Springer, vol. 219(1), pages 85-99, August.
    13. Kleijnen, J.P.C., 1995. "Sensitivity analysis and optimization of system dynamics models : Regression analysis and statistical design of experiments," Discussion Paper 1995-4, Tilburg University, Center for Economic Research.
    14. van Groenendaal, Willem J. H., 1998. "Estimating NPV variability for deterministic models," European Journal of Operational Research, Elsevier, vol. 107(1), pages 202-213, May.
    15. Dengiz, Berna & Akbay, Kunter S., 2000. "Computer simulation of a PCB production line: metamodeling approach," International Journal of Production Economics, Elsevier, vol. 63(2), pages 195-205, January.

  76. Kleijnen, J.P.C., 1985. "Variance heterogeneity in experimental design," Research Memorandum FEW 197, Tilburg University, School of Economics and Management.

    Cited by:

    1. Kleijnen, J.P.C. & van Groenendaal, W.J.H., 1986. "Regression analysis of factoral designs with sequential replication," Research Memorandum FEW 215, Tilburg University, School of Economics and Management.

  77. Kleijnen, J.P.C., 1984. "Superefficient estimation of power functions in simulation experiments," Research Memorandum FEW 143, Tilburg University, School of Economics and Management.

    Cited by:

    1. Kleijnen, J.P.C. & Denis, H.M.M.T. & Kerckhoffs, R.M.G., 1984. "Efficient estimation of power functions," Other publications TiSEM c4b6866c-c4df-4104-8cc7-e, Tilburg University, School of Economics and Management.

  78. Kleijnen, J.P.C., 1983. "Statistical analysis of steady-state simulations : Survey of recent progress," Research Memorandum FEW 127, Tilburg University, School of Economics and Management.

    Cited by:

    1. Kleijnen, J.P.C., 1983. "Regression analysis : Assumptions, alternatives, applications," Other publications TiSEM 1f65af2d-8958-4929-a726-0, Tilburg University, School of Economics and Management.
    2. Sandikci, Burhaneddin & Sabuncuoglu, Ihsan, 2006. "Analysis of the behavior of the transient period in non-terminating simulations," European Journal of Operational Research, Elsevier, vol. 173(1), pages 252-267, August.
    3. Martin Comis & Catherine Cleophas & Christina Büsing, 2021. "Patients, primary care, and policy: Agent-based simulation modeling for health care decision support," Health Care Management Science, Springer, vol. 24(4), pages 799-826, December.

  79. Kleijnen, J.P.C., 1981. "Cross-validation using the t statistic," Research Memorandum FEW 100, Tilburg University, School of Economics and Management.

    Cited by:

    1. Kleijnen, J.P.C., 1983. "Regression analysis : Assumptions, alternatives, applications," Other publications TiSEM 1f65af2d-8958-4929-a726-0, Tilburg University, School of Economics and Management.
    2. Kleijnen, J.P.C., 1990. "Regression metamodels for simulation with common random numbers : Comparison of techniques," Other publications TiSEM 5fd22b3f-acd9-4309-9090-1, Tilburg University, School of Economics and Management.
    3. Kleijnen, J.P.C., 1982. "Regression metamodel summarization of model behaviour," Other publications TiSEM 5ff81a8b-a5ca-4405-8606-e, Tilburg University, School of Economics and Management.
    4. Kleijnen, J.P.C., 2006. "Regression Models and Experimental Designs : A Tutorial for Simulation Analaysts," Discussion Paper 2006-10, Tilburg University, Center for Economic Research.
    5. Morgan, Lucy E. & Nelson, Barry L. & Titman, Andrew C. & Worthington, David J., 2019. "Detecting bias due to input modelling in computer simulation," European Journal of Operational Research, Elsevier, vol. 279(3), pages 869-881.
    6. Kleijnen, J.P.C., 1985. "A scenario for sequential experimentation," Research Memorandum FEW 191, Tilburg University, School of Economics and Management.
    7. Jack P. C. Kleijnen & Wim C. M. van Beers, 2022. "Statistical Tests for Cross-Validation of Kriging Models," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 607-621, January.
    8. Theuns, H.L. & Passier-Grootjans, A.M.L., 1982. "Internationaal toerisme : Een gids in de algemene basisliteratuur en het bronnenmateriaal," Research Memorandum FEW 124, Tilburg University, School of Economics and Management.
    9. Kleijnen, J.P.C., 1988. "Analyzing simulation experiments with common random number, part II : Rao's approach," Research Memorandum FEW 332, Tilburg University, School of Economics and Management.

  80. Kleijnen, J.P.C., 1981. "Regression analysis for simulation practitioners," Research Memorandum FEW 85, Tilburg University, School of Economics and Management.

    Cited by:

    1. M I Reis dos Santos & P M Reis dos Santos, 2011. "Construction and validation of distribution-based regression simulation metamodels," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1376-1384, July.

  81. Kleijnen, J.P.C., 1981. "Statistical aspects of simulation : An updated survey," Research Memorandum FEW 101, Tilburg University, School of Economics and Management.

    Cited by:

    1. Kleijnen, J.P.C., 1982. "Regression metamodel summarization of model behaviour," Other publications TiSEM 5ff81a8b-a5ca-4405-8606-e, Tilburg University, School of Economics and Management.
    2. Theuns, H.L. & Passier-Grootjans, A.M.L., 1982. "Internationaal toerisme : Een gids in de algemene basisliteratuur en het bronnenmateriaal," Research Memorandum FEW 124, Tilburg University, School of Economics and Management.

  82. Kleijnen, J.P.C., 1979. "Analysis of simulation with common random numbers : A note on Heikes et al. (1976) (Version 2)," Other publications TiSEM ab924271-4c76-4574-9294-9, Tilburg University, School of Economics and Management.

    Cited by:

    1. Joshi, Shirish & Tew, Jeffrey D., 1995. "Validation and statistical analysis procedures under the common random number correlation-induction strategy for multipopulation simulation experiments," European Journal of Operational Research, Elsevier, vol. 85(1), pages 205-220, August.

  83. Hopmans, A.C.M. & Kleijnen, J.P.C., 1978. "Importance sampling in systems simulation : A practical failure?," Research Memorandum FEW 73, Tilburg University, School of Economics and Management.

    Cited by:

    1. Kleijnen, J.P.C., 1978. "The role of statistical methodology in simulation," Research Memorandum FEW 74, Tilburg University, School of Economics and Management.

  84. van den Bogaard, W. & Kleijnen, J.P.C., 1977. "Minimizing waiting times using priority classes : A case study in response surface methodology," Other publications TiSEM 2bb41f9c-6254-441b-ba32-0, Tilburg University, School of Economics and Management.

    Cited by:

    1. Kleijnen, Jack P.C., 2014. "Response Surface Methodology," Other publications TiSEM 7f9f17ee-db7f-4041-a686-d, Tilburg University, School of Economics and Management.

  85. Hopmans, A.C.M. & Kleijnen, J.P.C., 1977. "Regression estimators in simulation," Research Memorandum FEW 70, Tilburg University, School of Economics and Management.

    Cited by:

    1. Hopmans, A.C.M. & Kleijnen, J.P.C., 1979. "Importance sampling in systems simulation: a practical failure?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 21(2), pages 209-220.

Articles

  1. Ehsan Mehdad & Jack P. C. Kleijnen, 2018. "Efficient global optimisation for black-box simulation via sequential intrinsic Kriging," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(11), pages 1725-1737, November.
    See citations under working paper version above.
  2. Ehsan Mehdad & Jack P.C. Kleijnen, 2018. "Stochastic intrinsic Kriging for simulation metamodeling," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 34(3), pages 322-337, May.
    See citations under working paper version above.
  3. Kleijnen, Jack P.C., 2017. "Regression and Kriging metamodels with their experimental designs in simulation: A review," European Journal of Operational Research, Elsevier, vol. 256(1), pages 1-16.
    See citations under working paper version above.
  4. İhsan Yanıkoğlu & Dick den Hertog & Jack P. C. Kleijnen, 2016. "Robust dual-response optimization," IISE Transactions, Taylor & Francis Journals, vol. 48(3), pages 298-312, March.

    Cited by:

    1. Zhang, Wei & (Ato) Xu, Wangtu, 2017. "Simulation-based robust optimization for the schedule of single-direction bus transit route: The design of experiment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 203-230.
    2. Ambler, Kate & de Brauw, Alan & Herskowitz, Sylvan & Pulido, Cristhian, 2023. "Viewpoint: Finance needs of the agricultural midstream," Food Policy, Elsevier, vol. 121(C).

  5. Ehsan Mehdad & Jack P C Kleijnen, 2015. "Classic Kriging versus Kriging with bootstrapping or conditional simulation: classic Kriging’s robust confidence intervals and optimization," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(11), pages 1804-1814, November.

    Cited by:

    1. Kleijnen, J.P.C. & Mehdad, Ehsan, 2015. "Estimating the Variance of the Predictor in Stochastic Kriging," Discussion Paper 2015-041, Tilburg University, Center for Economic Research.
    2. Chen, Xi & Zhou, Qiang, 2017. "Sequential design strategies for mean response surface metamodeling via stochastic kriging with adaptive exploration and exploitation," European Journal of Operational Research, Elsevier, vol. 262(2), pages 575-585.

  6. Shi, Wen & Kleijnen, Jack P.C. & Liu, Zhixue, 2014. "Factor screening for simulation with multiple responses: Sequential bifurcation," European Journal of Operational Research, Elsevier, vol. 237(1), pages 136-147.
    See citations under working paper version above.
  7. Kleijnen, Jack P.C. & Mehdad, Ehsan, 2014. "Multivariate versus univariate Kriging metamodels for multi-response simulation models," European Journal of Operational Research, Elsevier, vol. 236(2), pages 573-582.

    Cited by:

    1. Sadoughi, Mohammadkazem & Li, Meng & Hu, Chao, 2018. "Multivariate system reliability analysis considering highly nonlinear and dependent safety events," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 189-200.
    2. Kleijnen, Jack & van Nieuwenhuyse, I. & van Beers, W.C.M., 2022. "Constrained Optimization in Simulation : Efficient Global Optimization and Karush-Kuhn-Tucker Conditions," Discussion Paper 2022-020, Tilburg University, Center for Economic Research.
    3. Furtado Júnior, Juarez Corrêa & Palacio, José Carlos Escobar & Leme, Rafael Coradi & Lora, Electo Eduardo Silva & da Costa, José Eduardo Loureiro & Reyes, Arnaldo Martín Martínez & del Olmo, Oscar Alm, 2020. "Biorefineries productive alternatives optimization in the brazilian sugar and alcohol industry," Applied Energy, Elsevier, vol. 259(C).
    4. Theodore T. Allen & Olivia K. Hernand & Abdullah Alomair, 2020. "Optimal Off-line Experimentation for Games," Decision Analysis, INFORMS, vol. 17(4), pages 277-298, December.
    5. Binois, M. & Ginsbourger, D. & Roustant, O., 2015. "Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations," European Journal of Operational Research, Elsevier, vol. 243(2), pages 386-394.
    6. Menafoglio, Alessandra & Secchi, Piercesare, 2017. "Statistical analysis of complex and spatially dependent data: A review of Object Oriented Spatial Statistics," European Journal of Operational Research, Elsevier, vol. 258(2), pages 401-410.
    7. Liu, Yushan & Li, Luyi & Zhao, Sihan & Song, Shufang, 2021. "A global surrogate model technique based on principal component analysis and Kriging for uncertainty propagation of dynamic systems," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    8. Rahat, Alma A.M. & Wang, Chunlin & Everson, Richard M. & Fieldsend, Jonathan E., 2018. "Data-driven multi-objective optimisation of coal-fired boiler combustion systems," Applied Energy, Elsevier, vol. 229(C), pages 446-458.
    9. Kleijnen, Jack & van Nieuwenhuyse, I. & van Beers, W.C.M., 2022. "Constrained Optimization in Simulation : Efficient Global Optimization and Karush-Kuhn-Tucker Conditions," Other publications TiSEM 903e51c8-bed3-4e97-990f-c, Tilburg University, School of Economics and Management.

  8. J P C Kleijnen & W C M van Beers, 2013. "Monotonicity-preserving bootstrapped Kriging metamodels for expensive simulations," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(5), pages 708-717, May.
    See citations under working paper version above.
  9. Jack Kleijnen & Wim Beers & Inneke Nieuwenhuyse, 2012. "Expected improvement in efficient global optimization through bootstrapped kriging," Journal of Global Optimization, Springer, vol. 54(1), pages 59-73, September.

    Cited by:

    1. Songhao Wang & Szu Hui Ng & William Benjamin Haskell, 2022. "A Multilevel Simulation Optimization Approach for Quantile Functions," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 569-585, January.
    2. Kleijnen, Jack P.C., 2013. "Simulation-Optimization via Kriging and Bootstrapping : A Survey (Revision of CentER DP 2011-064)," Discussion Paper 2013-064, Tilburg University, Center for Economic Research.
    3. Xiaodong Song & Mingyang Li & Zhitao Li & Fang Liu, 2021. "Global Optimization Algorithm Based on Kriging Using Multi-Point Infill Sampling Criterion and Its Application in Transportation System," Sustainability, MDPI, vol. 13(19), pages 1-17, September.
    4. Morales-Enciso, Sergio & Branke, Juergen, 2015. "Tracking global optima in dynamic environments with efficient global optimization," European Journal of Operational Research, Elsevier, vol. 242(3), pages 744-755.
    5. Antanas Žilinskas & James Calvin, 2019. "Bi-objective decision making in global optimization based on statistical models," Journal of Global Optimization, Springer, vol. 74(4), pages 599-609, August.
    6. Dawei Zhan & Huanlai Xing, 2020. "Expected improvement for expensive optimization: a review," Journal of Global Optimization, Springer, vol. 78(3), pages 507-544, November.
    7. Jalali, Hamed & Van Nieuwenhuyse, Inneke & Picheny, Victor, 2017. "Comparison of Kriging-based algorithms for simulation optimization with heterogeneous noise," European Journal of Operational Research, Elsevier, vol. 261(1), pages 279-301.
    8. Shande Li & Jian Wen & Jun Wang & Weiqi Liu & Shuai Yuan, 2022. "A High-Precision Surrogate Modeling Method Based on Parallel Multipoint Expected Improvement Point Infill Criteria for Complex Simulation Problems," Mathematics, MDPI, vol. 10(17), pages 1-15, August.
    9. Kleijnen, Jack P.C. & Mehdad, E., 2013. "Conditional simulation for efficient global optimization," Other publications TiSEM 52e4860d-9887-4a63-b19a-7, Tilburg University, School of Economics and Management.
    10. Mehdad, E. & Kleijnen, Jack P.C., 2014. "Classic Kriging versus Kriging with Bootstrapping or Conditional Simulation : Classic Kriging's Robust Confidence Intervals and Optimization (Revised version of CentER DP 2013-038)," Discussion Paper 2014-076, Tilburg University, Center for Economic Research.
    11. Qun Meng & Songhao Wang & Szu Hui Ng, 2022. "Combined Global and Local Search for Optimization with Gaussian Process Models," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 622-637, January.
    12. Pedrielli, Giulia & Wang, Songhao & Ng, Szu Hui, 2020. "An extended Two-Stage Sequential Optimization approach: Properties and performance," European Journal of Operational Research, Elsevier, vol. 287(3), pages 929-945.
    13. Satyajith Amaran & Nikolaos V. Sahinidis & Bikram Sharda & Scott J. Bury, 2016. "Simulation optimization: a review of algorithms and applications," Annals of Operations Research, Springer, vol. 240(1), pages 351-380, May.

  10. Kleijnen, Jack P.C. & Pierreval, Henri & Zhang, Jin, 2011. "Methodology for determining the acceptability of system designs in uncertain environments," European Journal of Operational Research, Elsevier, vol. 209(2), pages 176-183, March.
    See citations under working paper version above.
  11. Kleijnen, Jack P.C. & van Schaik, Frans D.J., 2011. "Sealed-bid auction of Netherlands mussels: Statistical analysis," International Journal of Production Economics, Elsevier, vol. 132(1), pages 154-161, July.

    Cited by:

    1. van Donselaar, K.H. & Peters, J. & de Jong, A. & Broekmeulen, R.A.C.M., 2016. "Analysis and forecasting of demand during promotions for perishable items," International Journal of Production Economics, Elsevier, vol. 172(C), pages 65-75.
    2. Shuang Xu & Yong Zhao & Yeming Gong, 2021. "Equivalence and revenue comparison among identical-item auctions," Journal of Economics, Springer, vol. 134(3), pages 261-292, December.

  12. Kleijnen, Jack P.C. & Beers, Wim van & Nieuwenhuyse, Inneke van, 2010. "Constrained optimization in expensive simulation: Novel approach," European Journal of Operational Research, Elsevier, vol. 202(1), pages 164-174, April.

    Cited by:

    1. Kleijnen, Jack P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2011. "Expected Improvement in Efficient Global Optimization Through Bootstrapped Kriging - Replaces CentER DP 2010-62," Discussion Paper 2011-015, Tilburg University, Center for Economic Research.
    2. Zheng, Liang & Xue, Xinfeng & Xu, Chengcheng & Ran, Bin, 2019. "A stochastic simulation-based optimization method for equitable and efficient network-wide signal timing under uncertainties," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 287-308.
    3. Fani Boukouvala & M. M. Faruque Hasan & Christodoulos A. Floudas, 2017. "Global optimization of general constrained grey-box models: new method and its application to constrained PDEs for pressure swing adsorption," Journal of Global Optimization, Springer, vol. 67(1), pages 3-42, January.
    4. Kleijnen, Jack P.C. & Mehdad, E., 2014. "Multivariate Versus Univariate Kriging Metamodels for Multi-Response Simulation Models (Revision of 2012-039)," Other publications TiSEM 8a096696-f700-4cbe-9474-c, Tilburg University, School of Economics and Management.
    5. Kleijnen, Jack P.C. & Mehdad, E., 2012. "Kriging in Multi-response Simulation, including a Monte Carlo Laboratory (Replaced by 2014-012)," Discussion Paper 2012-039, Tilburg University, Center for Economic Research.
    6. Arreola-Risa, Antonio & Giménez-García, Víctor M. & Martínez-Parra, José Luis, 2011. "Optimizing stochastic production-inventory systems: A heuristic based on simulation and regression analysis," European Journal of Operational Research, Elsevier, vol. 213(1), pages 107-118, August.
    7. Carolina Osorio & Michel Bierlaire, 2013. "A Simulation-Based Optimization Framework for Urban Transportation Problems," Operations Research, INFORMS, vol. 61(6), pages 1333-1345, December.
    8. Dhahri, Akrem & Gharbi, Ali & Ouhimmou, Mustapha, 2022. "Integrated production-delivery control policy for an unreliable manufacturing system and multiple retailers," International Journal of Production Economics, Elsevier, vol. 245(C).
    9. Hernandez, Andres F. & Grover, Martha A., 2013. "Error estimation properties of Gaussian process models in stochastic simulations," European Journal of Operational Research, Elsevier, vol. 228(1), pages 131-140.
    10. Kleijnen, Jack P.C., 2013. "Simulation-Optimization via Kriging and Bootstrapping : A Survey (Revision of CentER DP 2011-064)," Discussion Paper 2013-064, Tilburg University, Center for Economic Research.
    11. Zhongshun Shi & Siyang Gao & Hui Xiao & Weiwei Chen, 2019. "A worst‐case formulation for constrained ranking and selection with input uncertainty," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(8), pages 648-662, December.
    12. Tsai, Shing Chih & Fu, Sheng Yang, 2014. "Genetic-algorithm-based simulation optimization considering a single stochastic constraint," European Journal of Operational Research, Elsevier, vol. 236(1), pages 113-125.
    13. Peter I. Frazier, 2014. "A Fully Sequential Elimination Procedure for Indifference-Zone Ranking and Selection with Tight Bounds on Probability of Correct Selection," Operations Research, INFORMS, vol. 62(4), pages 926-942, August.
    14. Kleijnen, Jack P.C., 2017. "Regression and Kriging metamodels with their experimental designs in simulation: A review," European Journal of Operational Research, Elsevier, vol. 256(1), pages 1-16.
    15. Kabirian, Alireza & Ólafsson, Sigurdur, 2011. "Continuous optimization via simulation using Golden Region search," European Journal of Operational Research, Elsevier, vol. 208(1), pages 19-27, January.
    16. Hainan Guo & Haobin Gu & Yu Zhou & Jiaxuan Peng, 2022. "A data-driven multi-fidelity simulation optimization for medical staff configuration at an emergency department in Hong Kong," Flexible Services and Manufacturing Journal, Springer, vol. 34(2), pages 238-262, June.
    17. Zhou, Tianli & Fields, Evan & Osorio, Carolina, 2023. "A data-driven discrete simulation-based optimization algorithm for car-sharing service design," Transportation Research Part B: Methodological, Elsevier, vol. 178(C).
    18. Carolina Osorio & Linsen Chong, 2015. "A Computationally Efficient Simulation-Based Optimization Algorithm for Large-Scale Urban Transportation Problems," Transportation Science, INFORMS, vol. 49(3), pages 623-636, August.
    19. Nikolaos Ploskas & Nikolaos V. Sahinidis, 2022. "Review and comparison of algorithms and software for mixed-integer derivative-free optimization," Journal of Global Optimization, Springer, vol. 82(3), pages 433-462, March.
    20. Boukouvala, Fani & Misener, Ruth & Floudas, Christodoulos A., 2016. "Global optimization advances in Mixed-Integer Nonlinear Programming, MINLP, and Constrained Derivative-Free Optimization, CDFO," European Journal of Operational Research, Elsevier, vol. 252(3), pages 701-727.
    21. Miranda, Rafael de Carvalho & Montevechi, José Arnaldo Barra & da Silva, Aneirson Francisco & Marins, Fernando Augusto Silva, 2017. "Increasing the efficiency in integer simulation optimization: Reducing the search space through data envelopment analysis and orthogonal arrays," European Journal of Operational Research, Elsevier, vol. 262(2), pages 673-681.
    22. Osorio, Carolina, 2019. "High-dimensional offline origin-destination (OD) demand calibration for stochastic traffic simulators of large-scale road networks," Transportation Research Part B: Methodological, Elsevier, vol. 124(C), pages 18-43.
    23. Othmane Benmoussa, 2022. "Improving Replenishment Flows Using Simulation Results: A Case Study," Logistics, MDPI, vol. 6(2), pages 1-26, May.
    24. Strang, Kenneth David, 2012. "Importance of verifying queue model assumptions before planning with simulation software," European Journal of Operational Research, Elsevier, vol. 218(2), pages 493-504.
    25. Kleijnen, Jack P.C. & Mehdad, Ehsan, 2014. "Multivariate versus univariate Kriging metamodels for multi-response simulation models," European Journal of Operational Research, Elsevier, vol. 236(2), pages 573-582.

  13. Dellino, Gabriella & Kleijnen, Jack P.C. & Meloni, Carlo, 2010. "Robust optimization in simulation: Taguchi and Response Surface Methodology," International Journal of Production Economics, Elsevier, vol. 125(1), pages 52-59, May.
    See citations under working paper version above.
  14. Kleijnen, Jack P.C., 2009. "Kriging metamodeling in simulation: A review," European Journal of Operational Research, Elsevier, vol. 192(3), pages 707-716, February.
    See citations under working paper version above.
  15. E Angün & J Kleijnen & D den Hertog & G Gürkan, 2009. "Response surface methodology with stochastic constraints for expensive simulation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(6), pages 735-746, June.

    Cited by:

    1. Antonio Del Prete & Rodolfo Franchi & Stefania Cacace & Quirico Semeraro, 2020. "Optimization of cutting conditions using an evolutive online procedure," Journal of Intelligent Manufacturing, Springer, vol. 31(2), pages 481-499, February.
    2. M Laguna & J Molina & F Pérez & R Caballero & A G Hernández-Díaz, 2010. "The challenge of optimizing expensive black boxes: a scatter search/rough set theory approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(1), pages 53-67, January.
    3. Satyajith Amaran & Nikolaos V. Sahinidis & Bikram Sharda & Scott J. Bury, 2016. "Simulation optimization: a review of algorithms and applications," Annals of Operations Research, Springer, vol. 240(1), pages 351-380, May.

  16. Bettonvil, Bert & del Castillo, Enrique & Kleijnen, Jack P.C., 2009. "Statistical testing of optimality conditions in multiresponse simulation-based optimization," European Journal of Operational Research, Elsevier, vol. 199(2), pages 448-458, December.

    Cited by:

    1. Kleijnen, Jack P.C., 2017. "Regression and Kriging metamodels with their experimental designs in simulation: A review," European Journal of Operational Research, Elsevier, vol. 256(1), pages 1-16.
    2. Bekker, James & Aldrich, Chris, 2011. "The cross-entropy method in multi-objective optimisation: An assessment," European Journal of Operational Research, Elsevier, vol. 211(1), pages 112-121, May.
    3. Kleijnen, Jack P.C., 2014. "Response Surface Methodology," Other publications TiSEM 7f9f17ee-db7f-4041-a686-d, Tilburg University, School of Economics and Management.
    4. Kabirian, Alireza & Ólafsson, Sigurdur, 2011. "Continuous optimization via simulation using Golden Region search," European Journal of Operational Research, Elsevier, vol. 208(1), pages 19-27, January.
    5. Angun, M.E. & Kleijnen, Jack P.C., 2012. "An asymptotic test of optimality conditions in multiresponse simulation optimization," Other publications TiSEM a69dfa59-b0e1-45bd-8cd6-a, Tilburg University, School of Economics and Management.
    6. Strang, Kenneth David, 2012. "Importance of verifying queue model assumptions before planning with simulation software," European Journal of Operational Research, Elsevier, vol. 218(2), pages 493-504.
    7. Satyajith Amaran & Nikolaos V. Sahinidis & Bikram Sharda & Scott J. Bury, 2016. "Simulation optimization: a review of algorithms and applications," Annals of Operations Research, Springer, vol. 240(1), pages 351-380, May.

  17. van Beers, Wim C.M. & Kleijnen, Jack P.C., 2008. "Customized sequential designs for random simulation experiments: Kriging metamodeling and bootstrapping," European Journal of Operational Research, Elsevier, vol. 186(3), pages 1099-1113, May.
    See citations under working paper version above.
  18. Kleijnen, Jack P.C. & den Hertog, Dick & Angun, Ebru, 2006. "Response surface methodology's steepest ascent and step size revisited: Correction," European Journal of Operational Research, Elsevier, vol. 170(2), pages 664-666, April.

    Cited by:

    1. Kleijnen, J.P.C., 2006. "Generalized Response Surface Methodology : A New Metaheuristic," Other publications TiSEM 9a11fb77-d2e1-4c6e-8bba-0, Tilburg University, School of Economics and Management.

  19. D den Hertog & J P C Kleijnen & A Y D Siem, 2006. "The correct Kriging variance estimated by bootstrapping," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(4), pages 400-409, April.
    See citations under working paper version above.
  20. V C Ivănescu & J W M Bertrand & J C Fransoo & J P C Kleijnen, 2006. "Bootstrapping to solve the limited data problem in production control: an application in batch process industries," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(1), pages 2-9, January.

    Cited by:

    1. Alessandro Agnetis & Alberto Coppi & Matteo Corsini & Gabriella Dellino & Carlo Meloni & Marco Pranzo, 2014. "A decomposition approach for the combined master surgical schedule and surgical case assignment problems," Health Care Management Science, Springer, vol. 17(1), pages 49-59, March.
    2. Kleijnen, J.P.C., 2007. "Simulation Experiments in Practice : Statistical Design and Regression Analysis," Other publications TiSEM d4bee6b0-7a00-4695-85ed-6, Tilburg University, School of Economics and Management.
    3. Kleijnen, J.P.C., 2006. "White Noise Assumptions Revisited : Regression Models and Statistical Designs for Simulation Practice," Other publications TiSEM d8c37ad3-f9a5-4824-986d-2, Tilburg University, School of Economics and Management.
    4. M I Reis dos Santos & P M Reis dos Santos, 2011. "Construction and validation of distribution-based regression simulation metamodels," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1376-1384, July.
    5. Slotnick, Susan A., 2011. "Order acceptance and scheduling: A taxonomy and review," European Journal of Operational Research, Elsevier, vol. 212(1), pages 1-11, July.
    6. Kleijnen, J.P.C., 2006. "Generalized Response Surface Methodology : A New Metaheuristic," Other publications TiSEM 9a11fb77-d2e1-4c6e-8bba-0, Tilburg University, School of Economics and Management.

  21. Kleijnen, Jack P.C. & Deflandre, David, 2006. "Validation of regression metamodels in simulation: Bootstrap approach," European Journal of Operational Research, Elsevier, vol. 170(1), pages 120-131, April.

    Cited by:

    1. Kleijnen, J.P.C., 2007. "Simulation Experiments in Practice : Statistical Design and Regression Analysis," Other publications TiSEM d4bee6b0-7a00-4695-85ed-6, Tilburg University, School of Economics and Management.
    2. Kleijnen, J.P.C., 2006. "White Noise Assumptions Revisited : Regression Models and Statistical Designs for Simulation Practice," Other publications TiSEM d8c37ad3-f9a5-4824-986d-2, Tilburg University, School of Economics and Management.
    3. Kleijnen, Jack P.C., 2013. "Simulation-Optimization via Kriging and Bootstrapping : A Survey (Revision of CentER DP 2011-064)," Discussion Paper 2013-064, Tilburg University, Center for Economic Research.
    4. van Beers, W.C.M. & Kleijnen, J.P.C., 2004. "Customized Sequential Designs for Random Simulation Experiments : Kriging Metamodelling and Bootstrapping," Other publications TiSEM 372530d0-3a48-43c5-a91a-4, Tilburg University, School of Economics and Management.
    5. Poropudas, Jirka & Virtanen, Kai, 2011. "Simulation metamodeling with dynamic Bayesian networks," European Journal of Operational Research, Elsevier, vol. 214(3), pages 644-655, November.
    6. Scott L. Rosen & Christopher P. Saunders & Samar K Guharay, 2015. "A Structured Approach for Rapidly Mapping Multilevel System Measures via Simulation Metamodeling," Systems Engineering, John Wiley & Sons, vol. 18(1), pages 87-101, January.
    7. Kleijnen, J.P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2008. "Constrained Optimization in Simulation : A Novel Approach," Other publications TiSEM e49ba0fc-853c-4a13-b564-d, Tilburg University, School of Economics and Management.
    8. Ali Kokangul & Serap Akcan & Mufide Narli, 2017. "Optimizing nurse capacity in a teaching hospital neonatal intensive care unit," Health Care Management Science, Springer, vol. 20(2), pages 276-285, June.
    9. Kleijnen, Jack P.C. & van Schaik, Frans D.J., 2011. "Sealed-bid auction of Netherlands mussels: Statistical analysis," International Journal of Production Economics, Elsevier, vol. 132(1), pages 154-161, July.
    10. Hamad, Husam & Al-Hamdan, Sami, 2007. "Discovering metamodels' quality-of-fit for simulation via graphical techniques," European Journal of Operational Research, Elsevier, vol. 178(2), pages 543-559, April.
    11. Kleijnen, Jack P.C. & Pierreval, H. & Zhang, J., 2011. "Methodology for determining the acceptability of system designs in uncertain environments," Other publications TiSEM e7680883-7f29-4452-9533-6, Tilburg University, School of Economics and Management.
    12. Kleijnen, Jack P.C., 2017. "Regression and Kriging metamodels with their experimental designs in simulation: A review," European Journal of Operational Research, Elsevier, vol. 256(1), pages 1-16.
    13. Shi, Wen & Liu, Zhixue & Shang, Jennifer & Cui, Yujia, 2013. "Multi-criteria robust design of a JIT-based cross-docking distribution center for an auto parts supply chain," European Journal of Operational Research, Elsevier, vol. 229(3), pages 695-706.
    14. Kleijnen, J.P.C., 2006. "Regression Models and Experimental Designs : A Tutorial for Simulation Analaysts," Discussion Paper 2006-10, Tilburg University, Center for Economic Research.
    15. Kleijnen, Jack P.C. & Pierreval, H. & Zhang, J., 2009. "When is the design of a manufacturing system acceptable in the presence of uncertainty?," Other publications TiSEM 58fba7c4-8fd2-44d4-8ec3-f, Tilburg University, School of Economics and Management.
    16. Mert Edali & Gönenç Yücel, 2020. "Analysis of an individual‐based influenza epidemic model using random forest metamodels and adaptive sequential sampling," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(6), pages 936-958, November.
    17. Radaideh, Majdi I. & Kozlowski, Tomasz, 2020. "Surrogate modeling of advanced computer simulations using deep Gaussian processes," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    18. Strang, Kenneth David, 2012. "Importance of verifying queue model assumptions before planning with simulation software," European Journal of Operational Research, Elsevier, vol. 218(2), pages 493-504.
    19. Plischke, Elmar & Borgonovo, Emanuele & Smith, Curtis L., 2013. "Global sensitivity measures from given data," European Journal of Operational Research, Elsevier, vol. 226(3), pages 536-550.
    20. Kleijnen, Jack P.C. & Beers, Wim van & Nieuwenhuyse, Inneke van, 2010. "Constrained optimization in expensive simulation: Novel approach," European Journal of Operational Research, Elsevier, vol. 202(1), pages 164-174, April.

  22. Kleijnen, Jack P. C., 2005. "An overview of the design and analysis of simulation experiments for sensitivity analysis," European Journal of Operational Research, Elsevier, vol. 164(2), pages 287-300, July.
    See citations under working paper version above.
  23. Kleijnen, Jack P. C. & van Beers, Wim C. M., 2005. "Robustness of Kriging when interpolating in random simulation with heterogeneous variances: Some experiments," European Journal of Operational Research, Elsevier, vol. 165(3), pages 826-834, September.

    Cited by:

    1. H Yapicioglu & H Liu & A E Smith & G Dozier, 2011. "Hybrid approach for Pareto front expansion in heuristics," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(2), pages 348-359, February.
    2. Bettonvil, B.W.M. & Del Castillo, E. & Kleijnen, J.P.C., 2007. "Statistical Testing of Optimality Conditions in Multiresponse Simulation-based Optimization (Revision of 2005-81)," Discussion Paper 2007-45, Tilburg University, Center for Economic Research.
    3. Hernandez, Andres F. & Grover, Martha A., 2013. "Error estimation properties of Gaussian process models in stochastic simulations," European Journal of Operational Research, Elsevier, vol. 228(1), pages 131-140.
    4. Kleijnen, Jack P.C., 2009. "Kriging metamodeling in simulation: A review," European Journal of Operational Research, Elsevier, vol. 192(3), pages 707-716, February.
    5. Bruce Ankenman & Barry L. Nelson & Jeremy Staum, 2010. "Stochastic Kriging for Simulation Metamodeling," Operations Research, INFORMS, vol. 58(2), pages 371-382, April.
    6. Jalali, Hamed & Van Nieuwenhuyse, Inneke & Picheny, Victor, 2017. "Comparison of Kriging-based algorithms for simulation optimization with heterogeneous noise," European Journal of Operational Research, Elsevier, vol. 261(1), pages 279-301.
    7. Bettonvil, Bert & del Castillo, Enrique & Kleijnen, Jack P.C., 2009. "Statistical testing of optimality conditions in multiresponse simulation-based optimization," European Journal of Operational Research, Elsevier, vol. 199(2), pages 448-458, December.
    8. Xuefei Lu & Alessandro Rudi & Emanuele Borgonovo & Lorenzo Rosasco, 2020. "Faster Kriging: Facing High-Dimensional Simulators," Operations Research, INFORMS, vol. 68(1), pages 233-249, January.
    9. William F. Christensen, 2011. "Filtered Kriging for Spatial Data with Heterogeneous Measurement Error Variances," Biometrics, The International Biometric Society, vol. 67(3), pages 947-957, September.
    10. Pedrielli, Giulia & Wang, Songhao & Ng, Szu Hui, 2020. "An extended Two-Stage Sequential Optimization approach: Properties and performance," European Journal of Operational Research, Elsevier, vol. 287(3), pages 929-945.
    11. Liu, Heping & Shi, Jing & Erdem, Ergin, 2010. "Prediction of wind speed time series using modified Taylor Kriging method," Energy, Elsevier, vol. 35(12), pages 4870-4879.
    12. Rojas Gonzalez, Sebastian & Jalali, Hamed & Van Nieuwenhuyse, Inneke, 2020. "A multiobjective stochastic simulation optimization algorithm," European Journal of Operational Research, Elsevier, vol. 284(1), pages 212-226.
    13. Reis dos Santos, Pedro M. & Isabel Reis dos Santos, M., 2009. "Using subsystem linear regression metamodels in stochastic simulation," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1031-1040, August.
    14. Strang, Kenneth David, 2012. "Importance of verifying queue model assumptions before planning with simulation software," European Journal of Operational Research, Elsevier, vol. 218(2), pages 493-504.
    15. Satyajith Amaran & Nikolaos V. Sahinidis & Bikram Sharda & Scott J. Bury, 2016. "Simulation optimization: a review of algorithms and applications," Annals of Operations Research, Springer, vol. 240(1), pages 351-380, May.

  24. Kleijnen, Jack P. C. & den Hertog, Dick & Angun, Ebru, 2004. "Response surface methodology's steepest ascent and step size revisited," European Journal of Operational Research, Elsevier, vol. 159(1), pages 121-131, November.
    See citations under working paper version above.
  25. J P C Kleijnen & W C M van Beers, 2004. "Application-driven sequential designs for simulation experiments: Kriging metamodelling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(8), pages 876-883, August.
    See citations under working paper version above.
  26. Vonk Noordegraaf, Antonie & Nielen, Mirjam & Kleijnen, Jack P. C., 2003. "Sensitivity analysis by experimental design and metamodelling: Case study on simulation in national animal disease control," European Journal of Operational Research, Elsevier, vol. 146(3), pages 433-443, May.

    Cited by:

    1. Jin, Ding & Hedtrich, Johannes & Henning, Christian, 2018. "Applying Meta modeling for extended CGE-modeling: Sample techniques and potential application," Conference papers 332947, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    2. Happe, Kathrin, 2004. "Agricultural policies and farm structures: Agent-based modelling and application to EU-policy reform," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 30, number 14945.
    3. Kathrin Happe, 2005. "Agricultural policies and farm structures - agent-based simulation and application to EU-policy reform," Others 0504011, University Library of Munich, Germany.
    4. Xuefei Lu & Alessandro Rudi & Emanuele Borgonovo & Lorenzo Rosasco, 2020. "Faster Kriging: Facing High-Dimensional Simulators," Operations Research, INFORMS, vol. 68(1), pages 233-249, January.
    5. E Angün & J Kleijnen & D den Hertog & G Gürkan, 2009. "Response surface methodology with stochastic constraints for expensive simulation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(6), pages 735-746, June.
    6. Jin, Ding & Hedtrich, Johannes & Henning, Christian H. C. A., 2018. "Applying meta-modeling for extended CGE-modeling: Sampling techniques and potential application," Working Papers of Agricultural Policy WP2018-03, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.
    7. Angun, M.E., 2004. "Black box simulation optimization : Generalized response surface methodology," Other publications TiSEM 2548e953-54ce-44e2-8c5b-7, Tilburg University, School of Economics and Management.
    8. Clazien J. De Vos & Helmut W. Saatkamp & Mirjam Nielen & Ruud B. M. Huirne, 2006. "Sensitivity Analysis to Evaluate the Impact of Uncertain Factors in a Scenario Tree Model for Classical Swine Fever Introduction," Risk Analysis, John Wiley & Sons, vol. 26(5), pages 1311-1322, October.
    9. Happe, Kathrin & Kellermann, Konrad, 2007. "DIESE MODELLE SIND ZU KOMPLEX!-ODER DOCH NICHT?: EXPERIMENTELLES DESIGN UND METAMODELLIERUNG ALS MOGLICHER WEG, DAS KOMMUNIKATIONSPROBLEM AGENTENBASIERTER MODELLE IN DER POLITIKANALYSE ZU LOSEN (Germa," 47th Annual Conference, Weihenstephan, Germany, September 26-28, 2007 7613, German Association of Agricultural Economists (GEWISOLA).
    10. van der Gaag, Monique A. & Vos, Fred & Saatkamp, Helmut W. & van Boven, Michiel & van Beek, Paul & Huirne, Ruud B. M., 2004. "A state-transition simulation model for the spread of Salmonella in the pork supply chain," European Journal of Operational Research, Elsevier, vol. 156(3), pages 782-798, August.
    11. Maksudul Alam & Xinwei Deng & Casandra Philipson & Josep Bassaganya-Riera & Keith Bisset & Adria Carbo & Stephen Eubank & Raquel Hontecillas & Stefan Hoops & Yongguo Mei & Vida Abedi & Madhav Marathe, 2015. "Sensitivity Analysis of an ENteric Immunity SImulator (ENISI)-Based Model of Immune Responses to Helicobacter pylori Infection," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-25, September.

  27. W C M van Beers & J P C Kleijnen, 2003. "Kriging for interpolation in random simulation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(3), pages 255-262, March.
    See citations under working paper version above.
  28. J P C Kleijnen & M T Smits, 2003. "Performance metrics in supply chain management," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(5), pages 507-514, May.

    Cited by:

    1. Caroline Flammer & Aleksandra Kacperczyk, 2016. "The Impact of Stakeholder Orientation on Innovation: Evidence from a Natural Experiment," Management Science, INFORMS, vol. 62(7), pages 1982-2001, July.
    2. Kleijnen, Jack P.C. & Mehdad, E., 2014. "Multivariate Versus Univariate Kriging Metamodels for Multi-Response Simulation Models (Revision of 2012-039)," Other publications TiSEM 8a096696-f700-4cbe-9474-c, Tilburg University, School of Economics and Management.
    3. Kleijnen, J.P.C., 2004. "An Overview of the Design and Analysis of Simulation Experiments for Sensitivity Analysis," Discussion Paper 2004-16, Tilburg University, Center for Economic Research.
    4. Kull, Thomas & Closs, David, 2008. "The risk of second-tier supplier failures in serial supply chains: Implications for order policies and distributor autonomy," European Journal of Operational Research, Elsevier, vol. 186(3), pages 1158-1174, May.
    5. Lai, Richard, 2005. "Bullwhip in a Spanish Shop," MPRA Paper 4758, University Library of Munich, Germany.
    6. Shi, W. & Kleijnen, Jack P.C. & Liu, Zhixue, 2013. "Factor Screening For Simulation With Multiple Responses : Sequential Bifurcation," Other publications TiSEM 02d31acf-b6be-4c0f-beb7-5, Tilburg University, School of Economics and Management.
    7. A A Syntetos & N C Georgantzas & J E Boylan & B C Dangerfield, 2011. "Judgement and supply chain dynamics," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(6), pages 1138-1158, June.
    8. Inga Chira & Luis García-Feijóo & Jeff Madura, 2017. "When do managers listen to the market? Impact of learning in acquisitions of private firms," Review of Quantitative Finance and Accounting, Springer, vol. 49(2), pages 515-543, August.
    9. Kleijnen, J.P.C., 2003. "Supply Chain Simulation : A Survey," Other publications TiSEM 1635e925-dd25-4c35-8677-6, Tilburg University, School of Economics and Management.
    10. Ganga, Gilberto Miller Devós & Carpinetti, Luiz Cesar Ribeiro, 2011. "A fuzzy logic approach to supply chain performance management," International Journal of Production Economics, Elsevier, vol. 134(1), pages 177-187, November.
    11. Rameshwar Dubey & Saurabh Tiwari, 2010. "Modeling A Global Supply Chain For A Two-Wheeler Manufacturer," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(3), pages 331-350.
    12. Jahangirian, Mohsen & Eldabi, Tillal & Naseer, Aisha & Stergioulas, Lampros K. & Young, Terry, 2010. "Simulation in manufacturing and business: A review," European Journal of Operational Research, Elsevier, vol. 203(1), pages 1-13, May.
    13. Sergei P. Kazakov, 2016. "Market Orientation and Company Performance: A Russian Service Industry Perspective," HSE Working papers WP BRP 51/MAN/2016, National Research University Higher School of Economics.
    14. G J Hahn & H Kuhn, 2011. "Optimising a value-based performance indicator in mid-term sales and operations planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 515-525, March.
    15. Deshpande, Paras & Shukla, Deepak & Tiwari, M.K., 2011. "Fuzzy goal programming for inventory management: A bacterial foraging approach," European Journal of Operational Research, Elsevier, vol. 212(2), pages 325-336, July.
    16. Anna-Leigh Stone & Benton E. Gup & Junsoo Lee, 2018. "New insights about the relationship between corporate cash holdings and interest rates," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(1), pages 33-65, January.
    17. Seoungpil Ahn & Jaiho Chung, 2015. "Cash holdings, corporate governance, and acquirer returns," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 1(1), pages 1-31, December.
    18. H A Akkermans & K E van Oorschot, 2005. "Relevance assumed: a case study of balanced scorecard development using system dynamics," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(8), pages 931-941, August.
    19. Inês de Abreu Ferreira & Manuel de Castro Fraga & Radu Godina & Marta Souto Barreiros & Helena Carvalho, 2019. "A Proposed Index of the Implementation and Maturity of Circular Economy Practices—The Case of the Pulp and Paper Industries of Portugal and Spain," Sustainability, MDPI, vol. 11(6), pages 1-18, March.
    20. Robert Engel & Worarat Krathu & Marco Zapletal & Christian Pichler & R. P. Jagadeesh Chandra Bose & Wil Aalst & Hannes Werthner & Christian Huemer, 2016. "Analyzing inter-organizational business processes," Information Systems and e-Business Management, Springer, vol. 14(3), pages 577-612, August.
    21. Hsuan-Chu Lin & She-Chih Chiu, 2017. "Tradeoff on corporate cash holdings: a theoretical and empirical analysis," Review of Quantitative Finance and Accounting, Springer, vol. 49(3), pages 727-763, October.
    22. M I Reis dos Santos & P M Reis dos Santos, 2011. "Construction and validation of distribution-based regression simulation metamodels," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1376-1384, July.
    23. M Smits, 2010. "Impact of policy and process design on the performance of intake and treatment processes in mental health care: a system dynamics case study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(10), pages 1437-1445, October.
    24. Maestrini, Vieri & Luzzini, Davide & Maccarrone, Paolo & Caniato, Federico, 2017. "Supply chain performance measurement systems: A systematic review and research agenda," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 299-315.
    25. Rajesh, R. & Pugazhendhi, S. & Ganesh, K. & Ducq, Yves & Lenny Koh, S.C., 2012. "Generic balanced scorecard framework for third party logistics service provider," International Journal of Production Economics, Elsevier, vol. 140(1), pages 269-282.
    26. Tom Butler & Damien McGovern, 2012. "A conceptual model and IS framework for the design and adoption of environmental compliance management systems," Information Systems Frontiers, Springer, vol. 14(2), pages 221-235, April.
    27. Alexandru Constăngioară, 2013. "Performance Metrics in Supply Chain Management. Evidence from Romanian Economy," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 15(33), pages 170-179, February.
    28. Fahim ul Amin & Qingkai Ji & María del Carmen Valls Martínez & Qian-Li Dong & Shamsa Kanwal & Iram Zulfiqar, 2023. "The Moderating Effect of Customer Relationship on Supply Chain Risk Management and Organization Performance in Logistics Sector of Pakistan," SAGE Open, , vol. 13(1), pages 21582440231, March.
    29. Lejeune, Miguel A., 2013. "Probabilistic modeling of multiperiod service levels," European Journal of Operational Research, Elsevier, vol. 230(2), pages 299-312.
    30. Gyula Laszlo FLORIAN & Alexandru CONSTANGIOARA, 2013. "The Impact Of Performances In Romanian Supply Chains On Organizational Performances," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 7(1), pages 318-324, November.
    31. Margolis, Joshua T. & Sullivan, Kelly M. & Mason, Scott J. & Magagnotti, Mariah, 2018. "A multi-objective optimization model for designing resilient supply chain networks," International Journal of Production Economics, Elsevier, vol. 204(C), pages 174-185.
    32. Parisa Rafiaani & Zoumpolia Dikopoulou & Miet Dael & Tom Kuppens & Hossein Azadi & Philippe Lebailly & Steven Passel, 2020. "Identifying Social Indicators for Sustainability Assessment of CCU Technologies: A Modified Multi-criteria Decision Making," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(1), pages 15-44, January.
    33. Ciancimino, Elena & Cannella, Salvatore & Canca Ortiz, José David & Framiñán Torres, José Manuel, 2009. "Análisis multinivel de cadenas de suministros: dos técnicas de resolución del efecto bullwhip // Supply Chain Multi-level Analysis: Two Bullwhip Dampening Approaches," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 8(1), pages 7-28, December.
    34. Kleijnen, Jack P.C. & Mehdad, Ehsan, 2014. "Multivariate versus univariate Kriging metamodels for multi-response simulation models," European Journal of Operational Research, Elsevier, vol. 236(2), pages 573-582.
    35. Rota, Cosimo & Reynolds, Nikolai & Zanasi, Cesare, 2012. "Collaboration and Sustainable Relationships: their Contribution to the Life Cycle Analysis in Agri-Food Supply Chains," 2012 International European Forum, February 13-17, 2012, Innsbruck-Igls, Austria 144982, International European Forum on System Dynamics and Innovation in Food Networks.
    36. Berle, Øyvind & Asbjørnslett, Bjørn Egil & Rice, James B., 2011. "Formal Vulnerability Assessment of a maritime transportation system," Reliability Engineering and System Safety, Elsevier, vol. 96(6), pages 696-705.
    37. Hatem Elleuch & Wafik Hachicha & Habib Chabchoub, 2014. "A combined approach for supply chain risk management: description and application to a real hospital pharmaceutical case study," Journal of Risk Research, Taylor & Francis Journals, vol. 17(5), pages 641-663, May.
    38. Zhang, Xiunian & Lam, Jasmine Siu Lee, 2018. "Shipping mode choice in cold chain from a value-based management perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 147-167.
    39. Nihan Kabadayi & Mohammad Dehghanimohammadabadi, 2022. "Multi-objective supplier selection process: a simulation–optimization framework integrated with MCDM," Annals of Operations Research, Springer, vol. 319(2), pages 1607-1629, December.

  29. Kleijnen, Jack P. C. & Gaury, Eric, 2003. "Short-term robustness of production management systems: A case study," European Journal of Operational Research, Elsevier, vol. 148(2), pages 452-465, July.

    Cited by:

    1. Pierreval, Henri & Durieux-Paris, Severine, 2007. "Robust simulation with a base environmental scenario," European Journal of Operational Research, Elsevier, vol. 182(2), pages 783-793, October.
    2. Lavoie, P. & Gharbi, A. & Kenné, J.-P., 2010. "A comparative study of pull control mechanisms for unreliable homogenous transfer lines," International Journal of Production Economics, Elsevier, vol. 124(1), pages 241-251, March.
    3. Kleijnen, Jack P.C., 2017. "Regression and Kriging metamodels with their experimental designs in simulation: A review," European Journal of Operational Research, Elsevier, vol. 256(1), pages 1-16.
    4. Black, Gary W. & McKay, Kenneth N. & Morton, Thomas E., 2006. "Aversion scheduling in the presence of risky jobs," European Journal of Operational Research, Elsevier, vol. 175(1), pages 338-361, November.
    5. Canetta, Luca & Cheikhrouhou, Naoufel & Glardon, Rémy, 2013. "Modelling hybrid demand (e-commerce “+” traditional) evolution: A scenario planning approach," International Journal of Production Economics, Elsevier, vol. 143(1), pages 95-108.
    6. Werners, Brigitte & Wülfing, Thomas, 2010. "Robust optimization of internal transports at a parcel sorting center operated by Deutsche Post World Net," European Journal of Operational Research, Elsevier, vol. 201(2), pages 419-426, March.

  30. Van Groenendaal, Willem J. H. & Kleijnen, Jack P. C., 2002. "Deterministic versus stochastic sensitivity analysis in investment problems: An environmental case study," European Journal of Operational Research, Elsevier, vol. 141(1), pages 8-20, August.
    See citations under working paper version above.
  31. Kleijnen, J. P. C., 2001. "Ethical issues in modeling: Some reflections," European Journal of Operational Research, Elsevier, vol. 130(1), pages 223-230, April.

    Cited by:

    1. Andonegi, Aitor & Garmendia, Eneko & Aldezabal, Arantza, 2021. "Social multi-criteria evaluation for managing biodiversity conservation conflicts," Land Use Policy, Elsevier, vol. 109(C).
    2. Kleijnen, Jack P.C., 2011. "Ethical issues in engineering models : An operations researcher's reflections," Other publications TiSEM 88caba9e-1d78-47d7-9a0b-b, Tilburg University, School of Economics and Management.
    3. Munda, Giuseppe, 2004. "Social multi-criteria evaluation: Methodological foundations and operational consequences," European Journal of Operational Research, Elsevier, vol. 158(3), pages 662-677, November.
    4. Giuseppe Munda, 2003. "Social Multi-Criteria Evaluation (SMCE)," UHE Working papers 2003_04, Universitat Autònoma de Barcelona, Departament d'Economia i Història Econòmica, Unitat d'Història Econòmica.
    5. Mohsen Jalalimajidi & SM Seyedhosseini & Ahmad Makui & Masoud Babakhani, 2018. "Developing a comprehensive model for new energy replacement in the country’s development program using a robust optimization approach," Energy & Environment, , vol. 29(6), pages 868-890, September.
    6. Sasan Torabzadeh Khorasani, 2018. "A Robust Optimization Model for Supply Chain in Agile and Flexible Mode Based on Variables of Uncertainty," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(3), pages 239-253, September.
    7. Plischke, Elmar & Borgonovo, Emanuele & Smith, Curtis L., 2013. "Global sensitivity measures from given data," European Journal of Operational Research, Elsevier, vol. 226(3), pages 536-550.

  32. Halachmi, I. & Dzidic, A. & Metz, J. H. M. & Speelman, L. & Dijkhuizen, A. A. & Kleijnen, J. P. C., 2001. "Validation of simulation model for robotic milking barn design," European Journal of Operational Research, Elsevier, vol. 134(3), pages 677-688, November.

    Cited by:

    1. Kleijnen, Jack P.C., 2011. "Ethical issues in engineering models : An operations researcher's reflections," Other publications TiSEM 88caba9e-1d78-47d7-9a0b-b, Tilburg University, School of Economics and Management.
    2. Halachmi, I. & Adan, I. J. B. F. & van der Wal, J. & van Beek, P. & Heesterbeek, J. A. P., 2003. "Designing the optimal robotic milking barn by applying a queuing network approach," Agricultural Systems, Elsevier, vol. 76(2), pages 681-696, May.
    3. Halachmi, I. & Metz, J.H.M. & Halachmi, S. & Kleijnen, J.P.C., 2002. "Optimal facilty allocation in a robotic milking barn," Other publications TiSEM fc805a5f-c642-47f6-afac-e, Tilburg University, School of Economics and Management.
    4. Opasanon, Sathaporn & Kitthamkesorn, Songyot, 2016. "Border crossing design in light of the ASEAN Economic Community: Simulation based approach," Transport Policy, Elsevier, vol. 48(C), pages 1-12.
    5. Ilan Halachmi & Yitzhak Simon & Noam Mozes, 2014. "Simulation of the shift from marine netcages to inland recirculating aquaculture systems," Annals of Operations Research, Springer, vol. 219(1), pages 85-99, August.
    6. Janová, Jitka & Hampel, David & Nerudová, Danuše, 2019. "Design and validation of a tax sustainability index," European Journal of Operational Research, Elsevier, vol. 278(3), pages 916-926.

  33. Jack P. C. Kleijnen & Russell C. H. Cheng & Bert Bettonvil, 2001. "Validation of Trace-Driven Simulation Models: Bootstrap Tests," Management Science, INFORMS, vol. 47(11), pages 1533-1538, November.

    Cited by:

    1. Deflandre, D. & Kleijnen, J.P.C., 2002. "Statistical Analysis of Random Simulations : Bootstrap Tutorial," Discussion Paper 2002-58, Tilburg University, Center for Economic Research.
    2. Kleijnen, J.P.C., 2007. "Simulation Experiments in Practice : Statistical Design and Regression Analysis," Other publications TiSEM d4bee6b0-7a00-4695-85ed-6, Tilburg University, School of Economics and Management.
    3. Kleijnen, Jack P.C., 2011. "Ethical issues in engineering models : An operations researcher's reflections," Other publications TiSEM 88caba9e-1d78-47d7-9a0b-b, Tilburg University, School of Economics and Management.
    4. Kleijnen, Jack P.C. & Deflandre, David, 2006. "Validation of regression metamodels in simulation: Bootstrap approach," European Journal of Operational Research, Elsevier, vol. 170(1), pages 120-131, April.

  34. E G A Gaury & J P C Kleijnen & H Pierreval, 2001. "A methodology to customize pull control systems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(7), pages 789-799, July.

    Cited by:

    1. Thürer, Matthias & Stevenson, Mark & Protzman, Charles W., 2015. "COBACABANA (Control of Balance by Card Based Navigation): An alternative to kanban in the pure flow shop?," International Journal of Production Economics, Elsevier, vol. 166(C), pages 143-151.
    2. Geraghty, John & Heavey, Cathal, 2004. "A comparison of Hybrid Push/Pull and CONWIP/Pull production inventory control policies," International Journal of Production Economics, Elsevier, vol. 91(1), pages 75-90, September.
    3. Yang, Taho & Fu, Hsin-Pin & Yang, Kuang-Yi, 2007. "An evolutionary-simulation approach for the optimization of multi-constant work-in-process strategy--A case study," International Journal of Production Economics, Elsevier, vol. 107(1), pages 104-114, May.
    4. Lavoie, P. & Gharbi, A. & Kenné, J.-P., 2010. "A comparative study of pull control mechanisms for unreliable homogenous transfer lines," International Journal of Production Economics, Elsevier, vol. 124(1), pages 241-251, March.
    5. Lage Junior, Muris & Godinho Filho, Moacir, 2010. "Variations of the kanban system: Literature review and classification," International Journal of Production Economics, Elsevier, vol. 125(1), pages 13-21, May.
    6. M I Reis dos Santos & P M Reis dos Santos, 2011. "Construction and validation of distribution-based regression simulation metamodels," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1376-1384, July.
    7. Onyeocha, Chukwunonyelum Emmanuel & Wang, Jiayi & Khoury, Joseph & Geraghty, John, 2015. "A comparison of HK-CONWIP and BK-CONWIP control strategies in a multi-product manufacturing system," Operations Research Perspectives, Elsevier, vol. 2(C), pages 137-149.

  35. Kleijnen, Jack P. C. & Sargent, Robert G., 2000. "A methodology for fitting and validating metamodels in simulation," European Journal of Operational Research, Elsevier, vol. 120(1), pages 14-29, January.
    See citations under working paper version above.
  36. Russell C. H. Cheng & Jack P. C. Kleijnen, 1999. "Improved Design of Queueing Simulation Experiments with Highly Heteroscedastic Responses," Operations Research, INFORMS, vol. 47(5), pages 762-777, October.
    See citations under working paper version above.
  37. Jack P. C. Kleijnen & Bert Bettonvil & Willem Van Groenendaal, 1998. "Validation of Trace-Driven Simulation Models: A Novel Regression Test," Management Science, INFORMS, vol. 44(6), pages 812-819, June.

    Cited by:

    1. Rizzoli, Andrea E. & Fornara, Nicoletta & Gambardella, Luca Maria, 2002. "A simulation tool for combined rail/road transport in intermodal terminals," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 57-71.
    2. Kleijnen, Jack P.C. & van Schaik, Frans D.J., 2011. "Sealed-bid auction of Netherlands mussels: Statistical analysis," International Journal of Production Economics, Elsevier, vol. 132(1), pages 154-161, July.
    3. Kleijnen, J.P.C., 1999. "Validation of Models : Statistical Techniques and Data Availability," Discussion Paper 1999-104, Tilburg University, Center for Economic Research.
    4. Legato, Pasquale & Mazza, Rina M., 2001. "Berth planning and resources optimisation at a container terminal via discrete event simulation," European Journal of Operational Research, Elsevier, vol. 133(3), pages 537-547, September.
    5. van Schaik, F.D.J. & Kleijnen, J.P.C., 2001. "Sealed-Bid Auctions : Case Study," Discussion Paper 2001-73, Tilburg University, Center for Economic Research.
    6. Kleijnen, J.P.C. & Sargent, R., 1997. "A Methodology for Fitting and Validating Metamodels in Simulation," Discussion Paper 1997-116, Tilburg University, Center for Economic Research.
    7. Ilan Halachmi & Yitzhak Simon & Noam Mozes, 2014. "Simulation of the shift from marine netcages to inland recirculating aquaculture systems," Annals of Operations Research, Springer, vol. 219(1), pages 85-99, August.
    8. Halachmi, I. & Dzidic, A. & Metz, J. H. M. & Speelman, L. & Dijkhuizen, A. A. & Kleijnen, J. P. C., 2001. "Validation of simulation model for robotic milking barn design," European Journal of Operational Research, Elsevier, vol. 134(3), pages 677-688, November.
    9. Jack P. C. Kleijnen & Russell C. H. Cheng & Bert Bettonvil, 2001. "Validation of Trace-Driven Simulation Models: Bootstrap Tests," Management Science, INFORMS, vol. 47(11), pages 1533-1538, November.
    10. Kleijnen, J.P.C. & Cheng, R.C.H. & Bettonvil, B.W.M., 2000. "Validation of trace-driven simulation models : More on bootstrap tests," Other publications TiSEM 78dda39d-725a-488b-9618-b, Tilburg University, School of Economics and Management.
    11. Şükrü İmre & Fatih Canıtez & Dilay Çelebi, 2021. "The Socio-Technical Transition to Electric Vehicle Mobility in Turkey: A Multi-Level Perspective," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 12(4), pages 1-17, October.
    12. Reis dos Santos, Pedro M. & Isabel Reis dos Santos, M., 2009. "Using subsystem linear regression metamodels in stochastic simulation," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1031-1040, August.
    13. Tedeschi, Luis Orlindo, 2006. "Assessment of the adequacy of mathematical models," Agricultural Systems, Elsevier, vol. 89(2-3), pages 225-247, September.

  38. Bettonvil, Bert & Kleijnen, Jack P. C., 1997. "Searching for important factors in simulation models with many factors: Sequential bifurcation," European Journal of Operational Research, Elsevier, vol. 96(1), pages 180-194, January.

    Cited by:

    1. Kleijnen, J.P.C. & Sanchez, S.M. & Lucas, T.W. & Cioppa, T.M., 2003. "A User's Guide to the Brave New World of Designing Simulation Experiments," Discussion Paper 2003-1, Tilburg University, Center for Economic Research.
    2. Awad, Mahmoud, 2017. "Analyzing sensitivity measures using moment-matching technique," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 90-99.
    3. Elmar Plischke & Emanuele Borgonovo, 2020. "Fighting the Curse of Sparsity: Probabilistic Sensitivity Measures From Cumulative Distribution Functions," Risk Analysis, John Wiley & Sons, vol. 40(12), pages 2639-2660, December.
    4. Shi, W. & Kleijnen, Jack P.C. & Liu, Zhixue, 2013. "Factor Screening For Simulation With Multiple Responses : Sequential Bifurcation," Other publications TiSEM 02d31acf-b6be-4c0f-beb7-5, Tilburg University, School of Economics and Management.
    5. Van Groenendaal, Willem J. H. & Kleijnen, Jack P. C., 2002. "Deterministic versus stochastic sensitivity analysis in investment problems: An environmental case study," European Journal of Operational Research, Elsevier, vol. 141(1), pages 8-20, August.
    6. Kleijnen, J.P.C., 1997. "Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models," Other publications TiSEM c0e2bc10-e550-4cf2-b649-6, Tilburg University, School of Economics and Management.
    7. Shi, Wen & Kleijnen, J.P.C., 2017. "Testing the Assumptions of Sequential Bifurcation for Factor Screening (revision of CentER DP 2015-034)," Other publications TiSEM 763fd6f8-b618-4b06-a284-5, Tilburg University, School of Economics and Management.
    8. Shen, Hua & Wan, Hong, 2009. "Controlled sequential factorial design for simulation factor screening," European Journal of Operational Research, Elsevier, vol. 198(2), pages 511-519, October.
    9. Wen Shi & Xi Chen, 2018. "Efficient budget allocation strategies for elementary effects method in stochastic simulation," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(3), pages 218-241, April.
    10. Last, Michael & Luta, Gheorghe & Orso, Alex & Porter, Adam & Young, Stan, 2008. "Pooled ANOVA," Computational Statistics & Data Analysis, Elsevier, vol. 52(12), pages 5215-5228, August.
    11. Xuefei Lu & Alessandro Rudi & Emanuele Borgonovo & Lorenzo Rosasco, 2020. "Faster Kriging: Facing High-Dimensional Simulators," Operations Research, INFORMS, vol. 68(1), pages 233-249, January.
    12. Shi, W. & Kleijnen, J.P.C., 2015. "Validating the Assumptions of Sequential Bifurcation in Factor Screening," Other publications TiSEM 20917855-af54-4d4d-a54b-6, Tilburg University, School of Economics and Management.
    13. David J. Pannell, 1997. "Sensitivity analysis of normative economic models: theoretical framework and practical strategies," Agricultural Economics, International Association of Agricultural Economists, vol. 16(2), pages 139-152, May.
    14. Kleijnen, J.P.C. & Sargent, R., 1997. "A Methodology for Fitting and Validating Metamodels in Simulation," Discussion Paper 1997-116, Tilburg University, Center for Economic Research.
    15. Batmaz, Inci & Tunali, Semra, 2003. "Small response surface designs for metamodel estimation," European Journal of Operational Research, Elsevier, vol. 145(2), pages 455-470, March.
    16. Kleijnen, J.P.C., 2009. "Sensitivity Analysis of Simulation Models," Discussion Paper 2009-11, Tilburg University, Center for Economic Research.
    17. Ramkishore Singh & Dharam Buddhi & Samar Thapa & Chander Prakash & Rajesh Singh & Atul Sharma & Shane Sheoran & Kuldeep Kumar Saxena, 2022. "Sensitivity Analysis for Decisive Design Parameters for Energy and Indoor Visual Performances of a Glazed Façade Office Building," Sustainability, MDPI, vol. 14(21), pages 1-27, October.
    18. Shi, Wen & Chen, Xi, 2019. "Controlled Morris method: A new factor screening approach empowered by a distribution-free sequential multiple testing procedure," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 299-314.
    19. Borgonovo, Emanuele & Plischke, Elmar, 2016. "Sensitivity analysis: A review of recent advances," European Journal of Operational Research, Elsevier, vol. 248(3), pages 869-887.
    20. Shi, Wen & Shang, Jennifer & Liu, Zhixue & Zuo, Xiaolu, 2014. "Optimal design of the auto parts supply chain for JIT operations: Sequential bifurcation factor screening and multi-response surface methodology," European Journal of Operational Research, Elsevier, vol. 236(2), pages 664-676.
    21. Singh, Ramkishore & Lazarus, I.J. & Kishore, V.V.N., 2016. "Uncertainty and sensitivity analyses of energy and visual performances of office building with external venetian blind shading in hot-dry climate," Applied Energy, Elsevier, vol. 184(C), pages 155-170.
    22. Plischke, Elmar & Borgonovo, Emanuele & Smith, Curtis L., 2013. "Global sensitivity measures from given data," European Journal of Operational Research, Elsevier, vol. 226(3), pages 536-550.
    23. Kleijnen, J.P.C., 2007. "Screening Experiments for Simulation : A Review," Other publications TiSEM 164486bc-0852-4d15-bdf8-5, Tilburg University, School of Economics and Management.
    24. Hong Wan & Bruce E. Ankenman & Barry L. Nelson, 2006. "Controlled Sequential Bifurcation: A New Factor-Screening Method for Discrete-Event Simulation," Operations Research, INFORMS, vol. 54(4), pages 743-755, August.

  39. Kleijnen, Jack P. C. & Rubinstein, Reuven Y., 1996. "Optimization and sensitivity analysis of computer simulation models by the score function method," European Journal of Operational Research, Elsevier, vol. 88(3), pages 413-427, February.
    See citations under working paper version above.
  40. Kleijnen, Jack P. C., 1995. "Statistical validation of simulation models," European Journal of Operational Research, Elsevier, vol. 87(1), pages 21-34, November.

    Cited by:

    1. Kleijnen, J.P.C. & Sanchez, S.M. & Lucas, T.W. & Cioppa, T.M., 2003. "A User's Guide to the Brave New World of Designing Simulation Experiments," Discussion Paper 2003-1, Tilburg University, Center for Economic Research.
    2. Robinson, Stewart, 2002. "General concepts of quality for discrete-event simulation," European Journal of Operational Research, Elsevier, vol. 138(1), pages 103-117, April.
    3. Tuffa, Samuel & Treydte, Anna C., 2017. "Modeling Boran cattle populations under climate change and varying carrying capacity," Ecological Modelling, Elsevier, vol. 352(C), pages 113-127.
    4. Kleijnen, J.P.C., 2006. "Regression Models and Experimental Designs : A Tutorial for Simulation Analaysts," Discussion Paper 2006-10, Tilburg University, Center for Economic Research.
    5. Kleijnen, J.P.C. & Sargent, R., 1997. "A Methodology for Fitting and Validating Metamodels in Simulation," Discussion Paper 1997-116, Tilburg University, Center for Economic Research.
    6. Ilan Halachmi & Yitzhak Simon & Noam Mozes, 2014. "Simulation of the shift from marine netcages to inland recirculating aquaculture systems," Annals of Operations Research, Springer, vol. 219(1), pages 85-99, August.
    7. Halachmi, I. & Dzidic, A. & Metz, J. H. M. & Speelman, L. & Dijkhuizen, A. A. & Kleijnen, J. P. C., 2001. "Validation of simulation model for robotic milking barn design," European Journal of Operational Research, Elsevier, vol. 134(3), pages 677-688, November.
    8. Kleijnen, J. P. C., 2001. "Ethical issues in modeling: Some reflections," European Journal of Operational Research, Elsevier, vol. 130(1), pages 223-230, April.

  41. Kleijnen, Jack P. C., 1995. "Verification and validation of simulation models," European Journal of Operational Research, Elsevier, vol. 82(1), pages 145-162, April.
    See citations under working paper version above.
  42. Jack P. C. Kleijnen & Ben Annink, 1992. "Vector Computers, Monte Carlo Simulation and Regression Analysis: An Introduction," Management Science, INFORMS, vol. 38(2), pages 170-181, February.

    Cited by:

    1. Bettonvil, B. & Kleijnen, J.P.C., 1994. "Identifying the important factors in simulation models with many factors," Discussion Paper 1994-114, Tilburg University, Center for Economic Research.
    2. Kleijnen, J.P.C. & Bettonvil, B.W.M., 1997. "Searching for important factors in simulation models with many factors : Sequential bifurcation," Other publications TiSEM be826993-22f9-4cb3-89df-3, Tilburg University, School of Economics and Management.
    3. Bettonvil, Bert & Kleijnen, Jack P. C., 1997. "Searching for important factors in simulation models with many factors: Sequential bifurcation," European Journal of Operational Research, Elsevier, vol. 96(1), pages 180-194, January.

  43. Kleijnen, Jack P.C., 1992. "Sensitivity analysis of simulation experiments: regression analysis and statistical design," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 34(3), pages 297-315.
    See citations under working paper version above.
  44. van Eijs, M. J. G. & Heuts, R. M. J. & Kleijnen, J. P. C., 1992. "Analysis and comparison of two strategies for multi-item inventory systems with joint replenishment costs," European Journal of Operational Research, Elsevier, vol. 59(3), pages 405-412, June.
    See citations under working paper version above.
  45. Jack P. C. Kleijnen, 1992. "Regression Metamodels for Simulation with Common Random Numbers: Comparison of Validation Tests and Confidence Intervals," Management Science, INFORMS, vol. 38(8), pages 1164-1185, August.

    Cited by:

    1. Kleijnen, J.P.C., 2007. "Simulation Experiments in Practice : Statistical Design and Regression Analysis," Other publications TiSEM d4bee6b0-7a00-4695-85ed-6, Tilburg University, School of Economics and Management.
    2. Kleijnen, J.P.C., 2001. "Experimental Design for Sensitivity Analysis of Simulation Models," Discussion Paper 2001-15, Tilburg University, Center for Economic Research.
    3. Kleijnen, J.P.C., 2004. "An Overview of the Design and Analysis of Simulation Experiments for Sensitivity Analysis," Discussion Paper 2004-16, Tilburg University, Center for Economic Research.
    4. Kleijnen, J.P.C., 2006. "White Noise Assumptions Revisited : Regression Models and Statistical Designs for Simulation Practice," Other publications TiSEM d8c37ad3-f9a5-4824-986d-2, Tilburg University, School of Economics and Management.
    5. Cheng, R.C.H. & Kleijnen, J.P.C., 1995. "Optimal design of simulation experiments with nearly saturated queues," Other publications TiSEM d66d1566-1244-40ff-bfcd-c, Tilburg University, School of Economics and Management.
    6. Leutscher, K. J. & Renkema, J. A. & Challa, H., 1999. "Modelling operational adaptations of tactical production plans on pot plant nurseries: a simulation approach," Agricultural Systems, Elsevier, vol. 59(1), pages 67-78, January.
    7. Kleijnen, Jack P.C. & Deflandre, David, 2006. "Validation of regression metamodels in simulation: Bootstrap approach," European Journal of Operational Research, Elsevier, vol. 170(1), pages 120-131, April.
    8. Kleijnen, J.P.C., 1997. "Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models," Other publications TiSEM c0e2bc10-e550-4cf2-b649-6, Tilburg University, School of Economics and Management.
    9. Reis dos Santos, M. Isabel & Porta Nova, Acacio M.O., 2006. "Statistical fitting and validation of non-linear simulation metamodels: A case study," European Journal of Operational Research, Elsevier, vol. 171(1), pages 53-63, May.
    10. Ali Kokangul & Serap Akcan & Mufide Narli, 2017. "Optimizing nurse capacity in a teaching hospital neonatal intensive care unit," Health Care Management Science, Springer, vol. 20(2), pages 276-285, June.
    11. Shi, Wen & Kleijnen, J.P.C., 2017. "Testing the Assumptions of Sequential Bifurcation for Factor Screening (revision of CentER DP 2015-034)," Other publications TiSEM 763fd6f8-b618-4b06-a284-5, Tilburg University, School of Economics and Management.
    12. Cheng, R.C.H. & Kleijnen, J.P.C., 1996. "Improved design of queuing simulation experiments with highly heteroscedastic responses," Other publications TiSEM d8a325a9-82bf-4d23-839e-2, Tilburg University, School of Economics and Management.
    13. Kleijnen, J.P.C. & Sargent, R., 1997. "A Methodology for Fitting and Validating Metamodels in Simulation," Discussion Paper 1997-116, Tilburg University, Center for Economic Research.
    14. Kleijnen, J.P.C., 2001. "Experimental designs for sensitivity analysis of simulation models," Other publications TiSEM bcb932d5-6abe-4da6-977e-5, Tilburg University, School of Economics and Management.
    15. Kleijnen, J.P.C., 1995. "Sensitivity analysis and optimization of system dynamics models : Regression analysis and statistical design of experiments," Discussion Paper 1995-4, Tilburg University, Center for Economic Research.
    16. van Groenendaal, W.J.H. & Kleijnen, J.P.C., 1997. "On the assessment of economic risk : Factorial design versus Monte Carlo methods," Other publications TiSEM fd2a2307-0812-4543-8151-7, Tilburg University, School of Economics and Management.
    17. Safizadeh, M. Hossein, 2002. "Minimizing the bias and variance of the gradient estimate in RSM simulation studies," European Journal of Operational Research, Elsevier, vol. 136(1), pages 121-135, January.

  46. J.P.C. Kleijnen & J. Kriens & H. Timmermans & H. van den Wildenberg, 1989. "Regression Sampling in Statistical Auditing: A Practical Survey and Evaluation," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 43(4), pages 193-209, December.

    Cited by:

    1. Kleijnen, J.P.C., 2007. "Simulation Experiments in Practice : Statistical Design and Regression Analysis," Other publications TiSEM d4bee6b0-7a00-4695-85ed-6, Tilburg University, School of Economics and Management.
    2. Kleijnen, J.P.C., 2006. "White Noise Assumptions Revisited : Regression Models and Statistical Designs for Simulation Practice," Other publications TiSEM d8c37ad3-f9a5-4824-986d-2, Tilburg University, School of Economics and Management.

  47. Kleijnen, Jack P. C. & Standridge, Charles R., 1988. "Experimental design and regression analysis in simulation: An FMS case study," European Journal of Operational Research, Elsevier, vol. 33(3), pages 257-261, February.
    See citations under working paper version above.
  48. Jack P. C. Kleijnen, 1988. "Analyzing Simulation Experiments with Common Random Numbers," Management Science, INFORMS, vol. 34(1), pages 65-74, January.

    Cited by:

    1. Leutscher, K. J. & Renkema, J. A. & Challa, H., 1999. "Modelling operational adaptations of tactical production plans on pot plant nurseries: a simulation approach," Agricultural Systems, Elsevier, vol. 59(1), pages 67-78, January.
    2. Peter Moran & Michele Simoni & Gianluca Vagnani, 2011. "Becoming the best: by beating or ignoring the best? Toward an expanded view of the role of managerial selection in complex and turbulent environments," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 15(3), pages 447-481, August.
    3. Kleijnen, J.P.C., 1990. "Regression metamodels for simulation with common random numbers : Comparison of techniques," Other publications TiSEM 5fd22b3f-acd9-4309-9090-1, Tilburg University, School of Economics and Management.
    4. Vagnani, Gianluca, 2009. "The Black-Scholes model as a determinant of the implied volatility smile: A simulation study," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 103-118, October.
    5. Barry L. Nelson, 2004. "50th Anniversary Article: Stochastic Simulation Research in Management Science," Management Science, INFORMS, vol. 50(7), pages 855-868, July.
    6. Safizadeh, M. Hossein, 2002. "Minimizing the bias and variance of the gradient estimate in RSM simulation studies," European Journal of Operational Research, Elsevier, vol. 136(1), pages 121-135, January.

  49. Kleijnen, Jack P. C., 1984. "Statistical analysis of steady-state simulations: survey of recent progress," European Journal of Operational Research, Elsevier, vol. 17(2), pages 150-162, August.
    See citations under working paper version above.
  50. Kleijnen, Jack P. C., 1983. "Cross-validation using the t statistic," European Journal of Operational Research, Elsevier, vol. 13(2), pages 133-141, June.
    See citations under working paper version above.
  51. Jack P.C. Kleijnen, 1982. "Statistical aspects of simulation: an updated survey," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 36(4), pages 165-186, December.
    See citations under working paper version above.
  52. Jack P. C. Kleijnen, 1980. "Information Systems in Management Science---Bayesian Information Economics: An Evaluation," Interfaces, INFORMS, vol. 10(3), pages 93-97, June.

    Cited by:

    1. Tyrychtr, J., 2017. "Analytical System with Decision Tree for Economic Benefit," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 9(4).
    2. Tyrychtr, Jan, 2017. "Economic Value of Information Systems in Agriculture: Cohesion and Coupling of Information Elements," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 9(3), September.

  53. J. P. C. Kleijnen, 1979. "Communication--An Extension of Gitlow's Methodology for Designing Abortion Clinics," Management Science, INFORMS, vol. 25(4), pages 408-408, April.

    Cited by:

    1. Kleijnen, J. P. C., 2001. "Ethical issues in modeling: Some reflections," European Journal of Operational Research, Elsevier, vol. 130(1), pages 223-230, April.

  54. Kleijnen, J. P. C. & van den Burg, A. J. & van der Ham, R. Th., 1979. "Generalization of simulation results practicality of statistical methods," European Journal of Operational Research, Elsevier, vol. 3(1), pages 50-64, January.

    Cited by:

    1. Kleijnen, J.P.C., 1982. "Design of simulation experiments," Research Memorandum FEW 123, Tilburg University, School of Economics and Management.
    2. Kleijnen, J.P.C. & van Groenendaal, W.J.H., 1986. "Regression analysis of factoral designs with sequential replication," Research Memorandum FEW 215, Tilburg University, School of Economics and Management.
    3. M. Hossein Safizadeh, 1990. "Optimization in simulation: Current issues and the future outlook," Naval Research Logistics (NRL), John Wiley & Sons, vol. 37(6), pages 807-825, December.
    4. Kleijnen, J.P.C. & Sanchez, S.M. & Lucas, T.W. & Cioppa, T.M., 2003. "A User's Guide to the Brave New World of Designing Simulation Experiments," Discussion Paper 2003-1, Tilburg University, Center for Economic Research.
    5. Reis dos Santos, M. Isabel & Porta Nova, Acacio M.O., 2006. "Statistical fitting and validation of non-linear simulation metamodels: A case study," European Journal of Operational Research, Elsevier, vol. 171(1), pages 53-63, May.
    6. Kleijnen, J.P.C., 1981. "Regression analysis for simulation practitioners," Other publications TiSEM 146b7f08-9a53-44a0-82d6-f, Tilburg University, School of Economics and Management.
    7. Kleijnen, J.P.C., 1982. "Regression metamodel summarization of model behaviour," Other publications TiSEM 5ff81a8b-a5ca-4405-8606-e, Tilburg University, School of Economics and Management.

  55. Jack P. C. Kleijnen, 1975. "Antithetic Variates, Common Random Numbers and Optimal Computer Time Allocation in Simulation," Management Science, INFORMS, vol. 21(10), pages 1176-1185, June.

    Cited by:

    1. Dennis Ridley & Pierre Ngnepieba, 2014. "Antithetic time series analysis and the CompanyX data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 177(1), pages 83-94, January.
    2. Kleijnen, J.P.C., 1997. "Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models," Other publications TiSEM c0e2bc10-e550-4cf2-b649-6, Tilburg University, School of Economics and Management.
    3. Dennis Ridley & Pierre Ngnepieba, 2023. "Antithetic Power Transformation in Monte Carlo Simulation: Correcting Hidden Errors in the Response Variable," Mathematics, MDPI, vol. 11(9), pages 1-12, April.
    4. Kleijnen, J.P.C., 1978. "The role of statistical methodology in simulation," Research Memorandum FEW 74, Tilburg University, School of Economics and Management.
    5. Shing Chih Tsai & Chen Hao Kuo, 2012. "Screening and selection procedures with control variates and correlation induction techniques," Naval Research Logistics (NRL), John Wiley & Sons, vol. 59(5), pages 340-361, August.
    6. Dag Kolsrud, 2008. "Stochastic Ceteris Paribus Simulations," Computational Economics, Springer;Society for Computational Economics, vol. 31(1), pages 21-43, February.

  56. Jack P. C. Kleijnen, 1975. "A Comment on Blanning's “Metamodel for Sensitivity Analysis: The Regression Metamodel in Simulation”," Interfaces, INFORMS, vol. 5(3), pages 21-23, May.

    Cited by:

    1. Cheng, R.C.H. & Kleijnen, J.P.C., 1995. "Optimal design of simulation experiments with nearly saturated queues," Other publications TiSEM d66d1566-1244-40ff-bfcd-c, Tilburg University, School of Economics and Management.
    2. Jin, Ding & Hedtrich, Johannes & Henning, Christian, 2018. "Applying Meta modeling for extended CGE-modeling: Sample techniques and potential application," Conference papers 332947, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    3. Kleijnen, J.P.C., 1997. "Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models," Other publications TiSEM c0e2bc10-e550-4cf2-b649-6, Tilburg University, School of Economics and Management.
    4. Kleijnen, J.P.C., 2006. "Regression Models and Experimental Designs : A Tutorial for Simulation Analaysts," Discussion Paper 2006-10, Tilburg University, Center for Economic Research.
    5. Jin, Ding & Hedtrich, Johannes & Henning, Christian H. C. A., 2018. "Applying meta-modeling for extended CGE-modeling: Sampling techniques and potential application," Working Papers of Agricultural Policy WP2018-03, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.
    6. Mukashov, Askar & Jin, Ding & Henning, Christian & Hedtrich, Johannes, 2019. "Estimation of Growth Elasticities in the General Equilibrium Framework under Model Uncertainty," Conference papers 333081, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    7. Jin, Ding & Thube, Sneha Dattatraya & Hedtrich, Johannes & Henning, Christian & Delzeit, Ruth, 2019. "A Baseline Calibration Procedure for CGE models: An Application for DART," Conference papers 333057, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

Chapters

  1. Jack P. C. Kleijnen, 2015. "Kriging Metamodels and Their Designs," International Series in Operations Research & Management Science, in: Design and Analysis of Simulation Experiments, edition 2, chapter 5, pages 179-239, Springer.

    Cited by:

    1. Giulia Pedrielli & K. Selcuk Candan & Xilun Chen & Logan Mathesen & Alireza Inanalouganji & Jie Xu & Chun-Hung Chen & Loo Hay Lee, 2019. "Generalized Ordinal Learning Framework (GOLF) for Decision Making with Future Simulated Data," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(06), pages 1-35, December.
    2. Tang, Xinzi & Wang, Zhe & Xiao, Peng & Peng, Ruitao & Liu, Xiongwei, 2020. "Uncertainty quantification based optimization of centrifugal compressor impeller for aerodynamic robustness under stochastic operational conditions," Energy, Elsevier, vol. 195(C).

  2. Jack P. C. Kleijnen, 2015. "Classic Assumptions Versus Simulation Practice," International Series in Operations Research & Management Science, in: Design and Analysis of Simulation Experiments, edition 2, chapter 3, pages 83-133, Springer.

    Cited by:

    1. Ana-Petrina Păun & Claudia Isac, 2016. "Financial Instruments for the Protection of Mothers," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 16(1), pages 199-206.

  3. Jack P. C. Kleijnen, 2015. "Response Surface Methodology," International Series in Operations Research & Management Science, in: Michael C Fu (ed.), Handbook of Simulation Optimization, edition 127, chapter 0, pages 81-104, Springer.
    See citations under working paper version above.
  4. Jack P. C. Kleijnen, 2009. "Factor Screening in Simulation Experiments: Review of Sequential Bifurcation," International Series in Operations Research & Management Science, in: Christos Alexopoulos & David Goldsman & James R. Wilson (ed.), Advancing the Frontiers of Simulation, pages 153-167, Springer.

    Cited by:

    1. Shi, W. & Kleijnen, Jack P.C. & Liu, Zhixue, 2013. "Factor Screening For Simulation With Multiple Responses : Sequential Bifurcation," Other publications TiSEM 02d31acf-b6be-4c0f-beb7-5, Tilburg University, School of Economics and Management.
    2. Aitor Iriondo Pascual & Henrik Smedberg & Dan Högberg & Anna Syberfeldt & Dan Lämkull, 2022. "Enabling Knowledge Discovery in Multi-Objective Optimizations of Worker Well-Being and Productivity," Sustainability, MDPI, vol. 14(9), pages 1-14, April.
    3. J P C Kleijnen & W C M van Beers, 2013. "Monotonicity-preserving bootstrapped Kriging metamodels for expensive simulations," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(5), pages 708-717, May.
    4. Ali K. Raz & C. Robert Kenley & Daniel A. DeLaurentis, 2018. "System architecting and design space characterization," Systems Engineering, John Wiley & Sons, vol. 21(3), pages 227-242, May.
    5. Shi, Wen & Shang, Jennifer & Liu, Zhixue & Zuo, Xiaolu, 2014. "Optimal design of the auto parts supply chain for JIT operations: Sequential bifurcation factor screening and multi-response surface methodology," European Journal of Operational Research, Elsevier, vol. 236(2), pages 664-676.
    6. Plischke, Elmar & Borgonovo, Emanuele & Smith, Curtis L., 2013. "Global sensitivity measures from given data," European Journal of Operational Research, Elsevier, vol. 226(3), pages 536-550.

  5. Jack P.C. Kleijnen, 2008. "Simulation optimization," International Series in Operations Research & Management Science, in: Design and Analysis of Simulation Experiments, chapter 4, pages 101-138, Springer.

    Cited by:

    1. Sowa, Konrad & Przegalinska, Aleksandra & Ciechanowski, Leon, 2021. "Cobots in knowledge work," Journal of Business Research, Elsevier, vol. 125(C), pages 135-142.
    2. Zhen Li & Jie Chen & Eric Laber & Fang Liu & Richard Baumgartner, 2023. "Optimal Treatment Regimes: A Review and Empirical Comparison," International Statistical Review, International Statistical Institute, vol. 91(3), pages 427-463, December.
    3. Behice Meltem Kayhan & Gokalp Yildiz, 2023. "Reinforcement learning applications to machine scheduling problems: a comprehensive literature review," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 905-929, March.
    4. Angel A. Juan & Peter Keenan & Rafael Martí & Seán McGarraghy & Javier Panadero & Paula Carroll & Diego Oliva, 2023. "A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics," Annals of Operations Research, Springer, vol. 320(2), pages 831-861, January.

Books

  1. Jack P.C. Kleijnen, 2008. "Design and Analysis of Simulation Experiments," International Series in Operations Research and Management Science, Springer, number 978-0-387-71813-2, December.

    Cited by:

    1. Hawre Jalal & Bryan Dowd & François Sainfort & Karen M. Kuntz, 2013. "Linear Regression Metamodeling as a Tool to Summarize and Present Simulation Model Results," Medical Decision Making, , vol. 33(7), pages 880-890, October.
    2. Rennen, G. & Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2010. "Nested maximin Latin hypercube designs," Other publications TiSEM 7f0703e8-06bc-45b4-886c-3, Tilburg University, School of Economics and Management.
    3. Martin, Rebecca & Lazakis, Iraklis & Barbouchi, Sami & Johanning, Lars, 2016. "Sensitivity analysis of offshore wind farm operation and maintenance cost and availability," Renewable Energy, Elsevier, vol. 85(C), pages 1226-1236.
    4. Hachicha, Wafik & Ammeri, Ahmed & Masmoudi, Faouzi & Chachoub, Habib, 2010. "A comprehensive literature classification of simulation optimisation methods," MPRA Paper 27652, University Library of Munich, Germany.
    5. Kleijnen, Jack P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2011. "Expected Improvement in Efficient Global Optimization Through Bootstrapped Kriging - Replaces CentER DP 2010-62," Discussion Paper 2011-015, Tilburg University, Center for Economic Research.
    6. Mehdad, Ehsan & Kleijnen, J.P.C., 2015. "Efficient Global Optimization for Black-Box Simulation via Sequential Intrinsic Kriging," Discussion Paper 2015-042, Tilburg University, Center for Economic Research.
    7. Kushlin, Valery & Ustenko, Viktoriya, 2017. "Modern World Practice of State Support of Perspective Scientific and Innovative Programs: Evaluation of the Developed Mechanisms of State Management of Innovation Development in the Context of Time Ch," Working Papers 041718, Russian Presidential Academy of National Economy and Public Administration.
    8. Dellino, G. & Kleijnen, Jack P.C. & Meloni, C., 2010. "Robust optimization in simulation : Taguchi and Response Surface Methodology," Other publications TiSEM 6a101dae-10b0-40af-815f-0, Tilburg University, School of Economics and Management.
    9. Kleijnen, Jack P.C. & Mehdad, E., 2014. "Multivariate Versus Univariate Kriging Metamodels for Multi-Response Simulation Models (Revision of 2012-039)," Other publications TiSEM 8a096696-f700-4cbe-9474-c, Tilburg University, School of Economics and Management.
    10. Ouyang, Linhan & Ma, Yizhong & Wang, Jianjun & Tu, Yiliu, 2017. "A new loss function for multi-response optimization with model parameter uncertainty and implementation errors," European Journal of Operational Research, Elsevier, vol. 258(2), pages 552-563.
    11. Kleijnen, Jack P.C. & Mehdad, E., 2012. "Kriging in Multi-response Simulation, including a Monte Carlo Laboratory (Replaced by 2014-012)," Discussion Paper 2012-039, Tilburg University, Center for Economic Research.
    12. Song, Wenjing & Han, Ke & Wang, Yiou & Friesz, Terry L. & del Castillo, Enrique, 2018. "Statistical metamodeling of dynamic network loading," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 740-756.
    13. Matthieu Petelet & Bertrand Iooss & Olivier Asserin & Alexandre Loredo, 2010. "Latin hypercube sampling with inequality constraints," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(4), pages 325-339, December.
    14. Hawre Jalal & Fernando Alarid-Escudero, 2018. "A Gaussian Approximation Approach for Value of Information Analysis," Medical Decision Making, , vol. 38(2), pages 174-188, February.
    15. J.-J. Sinou & L. Nechak & S. Besset, 2018. "Kriging Metamodeling in Rotordynamics: Application for Predicting Critical Speeds and Vibrations of a Flexible Rotor," Complexity, Hindawi, vol. 2018, pages 1-26, March.
    16. Shi, W. & Kleijnen, Jack P.C. & Liu, Zhixue, 2013. "Factor Screening For Simulation With Multiple Responses : Sequential Bifurcation," Other publications TiSEM 02d31acf-b6be-4c0f-beb7-5, Tilburg University, School of Economics and Management.
    17. Wen Shi & Xi Chen & Jennifer Shang, 2019. "An Efficient Morris Method-Based Framework for Simulation Factor Screening," INFORMS Journal on Computing, INFORMS, vol. 31(4), pages 745-770, October.
    18. Kleijnen, Jack P.C., 2011. "Ethical issues in engineering models : An operations researcher's reflections," Other publications TiSEM 88caba9e-1d78-47d7-9a0b-b, Tilburg University, School of Economics and Management.
    19. Mustafa Hekimoğlu & Yaman Barlas & Luis Luna-Reyes, 2016. "Sensitivity analysis for models with multiple behavior modes: a method based on behavior pattern measures," System Dynamics Review, System Dynamics Society, vol. 32(3-4), pages 332-362, July.
    20. Doole, Graeme J. & Romera, Alvaro J., 2014. "Cost-effective regulation of nonpoint emissions from pastoral agriculture: a stochastic analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(3), July.
    21. Tim Voigt & Martin Kohlhase & Oliver Nelles, 2021. "Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge," Mathematics, MDPI, vol. 9(19), pages 1-26, October.
    22. Kleijnen, Jack P.C., 2013. "Simulation-Optimization via Kriging and Bootstrapping : A Survey (Revision of CentER DP 2011-064)," Discussion Paper 2013-064, Tilburg University, Center for Economic Research.
    23. Poropudas, Jirka & Virtanen, Kai, 2011. "Simulation metamodeling with dynamic Bayesian networks," European Journal of Operational Research, Elsevier, vol. 214(3), pages 644-655, November.
    24. Tommaso Ciarli, 2012. "Structural interactions and long run growth: An application of Experimental Design to Agent Based Models," Papers on Economics and Evolution 2012-06, Philipps University Marburg, Department of Geography.
    25. Upham, Paul & Virkamäki, Venla & Kivimaa, Paula & Hildén, Mikael & Wadud, Zia, 2015. "Socio-technical transition governance and public opinion: The case of passenger transport in Finland," Journal of Transport Geography, Elsevier, vol. 46(C), pages 210-219.
    26. Campos, Ana Cláudia & Mendes, Julio & Valle, Patrícia Oom do & Scott, Noel, 2017. "Co-creating animal-based tourist experiences: Attention, involvement and memorability," Tourism Management, Elsevier, vol. 63(C), pages 100-114.
    27. Tian, Wei & Song, Jitian & Li, Zhanyong & de Wilde, Pieter, 2014. "Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis," Applied Energy, Elsevier, vol. 135(C), pages 320-328.
    28. Rennen, G. & Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2009. "Nested Maximin Latin Hypercube Designs," Other publications TiSEM 1c504ec0-f357-42d2-9c92-9, Tilburg University, School of Economics and Management.
    29. Yanikoglu, I. & den Hertog, D. & Kleijnen, Jack P.C., 2013. "Adjustable Robust Parameter Design with Unknown Distributions," Discussion Paper 2013-022, Tilburg University, Center for Economic Research.
    30. Sander Hoog, 2019. "Surrogate Modelling in (and of) Agent-Based Models: A Prospectus," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1245-1263, March.
    31. Kleijnen, J.P.C. & van Beers, W.C.M., 2018. "Prediction for Big Data through Kriging : Small Sequential and One-Shot Designs," Discussion Paper 2018-022, Tilburg University, Center for Economic Research.
    32. Kleijnen, Jack P.C., 2009. "Kriging metamodeling in simulation: A review," European Journal of Operational Research, Elsevier, vol. 192(3), pages 707-716, February.
    33. Iris Lorscheid & Bernd-Oliver Heine & Matthias Meyer, 2012. "Opening the ‘black box’ of simulations: increased transparency and effective communication through the systematic design of experiments," Computational and Mathematical Organization Theory, Springer, vol. 18(1), pages 22-62, March.
    34. Shi, Wen & Kleijnen, J.P.C., 2017. "Testing the Assumptions of Sequential Bifurcation for Factor Screening (revision of CentER DP 2015-034)," Other publications TiSEM 763fd6f8-b618-4b06-a284-5, Tilburg University, School of Economics and Management.
    35. Kleijnen, J.P.C. & Mehdad, Ehsan, 2015. "Estimating the Variance of the Predictor in Stochastic Kriging," Discussion Paper 2015-041, Tilburg University, Center for Economic Research.
    36. Zhang, Wei & (Ato) Xu, Wangtu, 2017. "Simulation-based robust optimization for the schedule of single-direction bus transit route: The design of experiment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 203-230.
    37. Kleijnen, Jack P.C. & van Schaik, Frans D.J., 2011. "Sealed-bid auction of Netherlands mussels: Statistical analysis," International Journal of Production Economics, Elsevier, vol. 132(1), pages 154-161, July.
    38. Ray, Douglas & Ramirez-Marquez, Jose, 2020. "A framework for probabilistic model-based engineering and data synthesis," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    39. Penkuhn, Mathias & Tsatsaronis, George, 2020. "Systematic evaluation of efficiency improvement options for sCO2 Brayton cycles," Energy, Elsevier, vol. 210(C).
    40. Kleijnen, Jack P.C. & Pierreval, H. & Zhang, J., 2011. "Methodology for determining the acceptability of system designs in uncertain environments," Other publications TiSEM e7680883-7f29-4452-9533-6, Tilburg University, School of Economics and Management.
    41. Wen Shi & Xi Chen, 2018. "Efficient budget allocation strategies for elementary effects method in stochastic simulation," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(3), pages 218-241, April.
    42. Kleijnen, Jack P.C., 2017. "Regression and Kriging metamodels with their experimental designs in simulation: A review," European Journal of Operational Research, Elsevier, vol. 256(1), pages 1-16.
    43. Shi, Wen & Liu, Zhixue & Shang, Jennifer & Cui, Yujia, 2013. "Multi-criteria robust design of a JIT-based cross-docking distribution center for an auto parts supply chain," European Journal of Operational Research, Elsevier, vol. 229(3), pages 695-706.
    44. Bettonvil, Bert & del Castillo, Enrique & Kleijnen, Jack P.C., 2009. "Statistical testing of optimality conditions in multiresponse simulation-based optimization," European Journal of Operational Research, Elsevier, vol. 199(2), pages 448-458, December.
    45. Matthias Meyer & Cathérine Grisar & Felix Kuhnert, 2011. "The impact of biases on simulation-based risk aggregation: modeling cognitive influences on risk assessment," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 22(1), pages 79-105, September.
    46. Lamboni, M. & Iooss, B. & Popelin, A.-L. & Gamboa, F., 2013. "Derivative-based global sensitivity measures: General links with Sobol’ indices and numerical tests," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 87(C), pages 45-54.
    47. Dellino, G. & Kleijnen, Jack P.C. & Meloni, C., 2009. "Robust Optimization in Simulation : Taguchi and Krige Combined," Discussion Paper 2009-82, Tilburg University, Center for Economic Research.
    48. Alfieri, Arianna & Matta, Andrea, 2012. "Mathematical programming formulations for approximate simulation of multistage production systems," European Journal of Operational Research, Elsevier, vol. 219(3), pages 773-783.
    49. Kleijnen, Jack P.C. & Pierreval, H. & Zhang, J., 2009. "When is the design of a manufacturing system acceptable in the presence of uncertainty?," Other publications TiSEM 58fba7c4-8fd2-44d4-8ec3-f, Tilburg University, School of Economics and Management.
    50. Dominguez, Roberto & Cannella, Salvatore & Barbosa-Póvoa, Ana P. & Framinan, Jose M., 2018. "Information sharing in supply chains with heterogeneous retailers," Omega, Elsevier, vol. 79(C), pages 116-132.
    51. Jin, Ding & Hedtrich, Johannes & Henning, Christian H. C. A., 2018. "Applying meta-modeling for extended CGE-modeling: Sampling techniques and potential application," Working Papers of Agricultural Policy WP2018-03, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.
    52. Shi, W. & Kleijnen, J.P.C., 2015. "Validating the Assumptions of Sequential Bifurcation in Factor Screening," Other publications TiSEM 20917855-af54-4d4d-a54b-6, Tilburg University, School of Economics and Management.
    53. Michael Ludkovski, 2015. "Kriging Metamodels and Experimental Design for Bermudan Option Pricing," Papers 1509.02179, arXiv.org, revised Oct 2016.
    54. İhsan Yanıkoğlu & Erinç Albey & Serkan Okçuoğlu, 2022. "Robust Parameter Design and Optimization for Quality Engineering," SN Operations Research Forum, Springer, vol. 3(1), pages 1-36, March.
    55. Rommel Regis & Christine Shoemaker, 2013. "A quasi-multistart framework for global optimization of expensive functions using response surface models," Journal of Global Optimization, Springer, vol. 56(4), pages 1719-1753, August.
    56. Arianna Alfieri & Andrea Matta & Giulia Pedrielli, 2015. "Mathematical programming models for joint simulation–optimization applied to closed queueing networks," Annals of Operations Research, Springer, vol. 231(1), pages 105-127, August.
    57. Kleijnen, J.P.C., 2008. "Design of Experiments : An Overview," Other publications TiSEM e05cfa13-127a-48c9-a5b6-7, Tilburg University, School of Economics and Management.
    58. Baquela, Enrique Gabriel & Olivera, Ana Carolina, 2019. "A novel hybrid multi-objective metamodel-based evolutionary optimization algorithm," Operations Research Perspectives, Elsevier, vol. 6(C).
    59. Kleijnen, Jack P.C. & Mehdad, E., 2013. "Conditional simulation for efficient global optimization," Other publications TiSEM 52e4860d-9887-4a63-b19a-7, Tilburg University, School of Economics and Management.
    60. Kleijnen, Jack P.C. & Ridder, A.A.N. & Rubinstein, R.Y., 2010. "Variance Reduction Techniques in Monte Carlo Methods," Discussion Paper 2010-117, Tilburg University, Center for Economic Research.
    61. J P C Kleijnen & W C M van Beers, 2013. "Monotonicity-preserving bootstrapped Kriging metamodels for expensive simulations," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(5), pages 708-717, May.
    62. Morin, Michael & Gaudreault, Jonathan & Brotherton, Edith & Paradis, Frédérik & Rolland, Amélie & Wery, Jean & Laviolette, François, 2020. "Machine learning-based models of sawmills for better wood allocation planning," International Journal of Production Economics, Elsevier, vol. 222(C).
    63. Ilan Halachmi & Yitzhak Simon & Noam Mozes, 2014. "Simulation of the shift from marine netcages to inland recirculating aquaculture systems," Annals of Operations Research, Springer, vol. 219(1), pages 85-99, August.
    64. Iooss, Bertrand & Le Gratiet, Loïc, 2019. "Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processes," Reliability Engineering and System Safety, Elsevier, vol. 187(C), pages 58-66.
    65. Graziano Coller & Marco Schiavon & Marco Ragazzi, 2021. "Environmental and economic sustainability in public contexts: the impact of hand-drying options on waste management, carbon emissions and operating costs," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 11279-11296, August.
    66. Kleijnen, J.P.C., 2009. "Sensitivity Analysis of Simulation Models," Discussion Paper 2009-11, Tilburg University, Center for Economic Research.
    67. Kleijnen, Jack P.C. & Mehdad, E. & van Beers, W.C.M., 2012. "Convex and Monotonic Bootstrapped Kriging," Other publications TiSEM d1114eff-4ceb-4d67-9ab6-a, Tilburg University, School of Economics and Management.
    68. Mehdad, E. & Kleijnen, Jack P.C., 2014. "Classic Kriging versus Kriging with Bootstrapping or Conditional Simulation : Classic Kriging's Robust Confidence Intervals and Optimization (Revised version of CentER DP 2013-038)," Discussion Paper 2014-076, Tilburg University, Center for Economic Research.
    69. Fernando Alarid-Escudero & Richard F. MacLehose & Yadira Peralta & Karen M. Kuntz & Eva A. Enns, 2018. "Nonidentifiability in Model Calibration and Implications for Medical Decision Making," Medical Decision Making, , vol. 38(7), pages 810-821, October.
    70. Brian L. Morgan & Harrison C. Schramm & Jerry R. Smith, Jr. & Thomas W. Lucas & Mary L. McDonald & Paul J. Sánchez & Susan M. Sanchez & Stephen C. Upton, 2018. "Improving U.S. Navy Campaign Analyses with Big Data," Interfaces, INFORMS, vol. 48(2), pages 130-146, April.
    71. Auder, Benjamin & De Crecy, Agnès & Iooss, Bertrand & Marquès, Michel, 2012. "Screening and metamodeling of computer experiments with functional outputs. Application to thermal–hydraulic computations," Reliability Engineering and System Safety, Elsevier, vol. 107(C), pages 122-131.
    72. Shi, Wen & Chen, Xi, 2019. "Controlled Morris method: A new factor screening approach empowered by a distribution-free sequential multiple testing procedure," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 299-314.
    73. Cannella, Salvatore & Dominguez, Roberto & Ponte, Borja & Framinan, Jose M., 2018. "Capacity restrictions and supply chain performance: Modelling and analysing load-dependent lead times," International Journal of Production Economics, Elsevier, vol. 204(C), pages 264-277.
    74. Kai Heussen & Cornelius Steinbrink & Ibrahim F. Abdulhadi & Van Hoa Nguyen & Merkebu Z. Degefa & Julia Merino & Tue V. Jensen & Hao Guo & Oliver Gehrke & Daniel Esteban Morales Bondy & Davood Babazade, 2019. "ERIGrid Holistic Test Description for Validating Cyber-Physical Energy Systems," Energies, MDPI, vol. 12(14), pages 1-31, July.
    75. Shi, Wen & Shang, Jennifer & Liu, Zhixue & Zuo, Xiaolu, 2014. "Optimal design of the auto parts supply chain for JIT operations: Sequential bifurcation factor screening and multi-response surface methodology," European Journal of Operational Research, Elsevier, vol. 236(2), pages 664-676.
    76. Miranda, Rafael de Carvalho & Montevechi, José Arnaldo Barra & da Silva, Aneirson Francisco & Marins, Fernando Augusto Silva, 2017. "Increasing the efficiency in integer simulation optimization: Reducing the search space through data envelopment analysis and orthogonal arrays," European Journal of Operational Research, Elsevier, vol. 262(2), pages 673-681.
    77. Angun, M.E. & Kleijnen, Jack P.C., 2012. "An asymptotic test of optimality conditions in multiresponse simulation optimization," Other publications TiSEM a69dfa59-b0e1-45bd-8cd6-a, Tilburg University, School of Economics and Management.
    78. Deviatkin, Ivan & Kozlova, Mariia & Yeomans, Julian Scott, 2021. "Simulation decomposition for environmental sustainability: Enhanced decision-making in carbon footprint analysis," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    79. János D. Pintér, 2018. "How difficult is nonlinear optimization? A practical solver tuning approach, with illustrative results," Annals of Operations Research, Springer, vol. 265(1), pages 119-141, June.
    80. Bozağaç, Doruk & Batmaz, İnci & Oğuztüzün, Halit, 2016. "Dynamic simulation metamodeling using MARS: A case of radar simulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 124(C), pages 69-86.
    81. Shi Pu & Alfredo Garcia, 2018. "A Flocking-Based Approach for Distributed Stochastic Optimization," Operations Research, INFORMS, vol. 66(1), pages 267-281, January.
    82. Frank J. Kampas & János D. Pintér & Ignacio Castillo, 2020. "Packing ovals in optimized regular polygons," Journal of Global Optimization, Springer, vol. 77(1), pages 175-196, May.
    83. Plischke, Elmar & Borgonovo, Emanuele & Smith, Curtis L., 2013. "Global sensitivity measures from given data," European Journal of Operational Research, Elsevier, vol. 226(3), pages 536-550.
    84. Kleijnen, Jack P.C. & Mehdad, Ehsan, 2014. "Multivariate versus univariate Kriging metamodels for multi-response simulation models," European Journal of Operational Research, Elsevier, vol. 236(2), pages 573-582.
    85. Erickson, Collin B. & Ankenman, Bruce E. & Sanchez, Susan M., 2018. "Comparison of Gaussian process modeling software," European Journal of Operational Research, Elsevier, vol. 266(1), pages 179-192.
    86. Satyajith Amaran & Nikolaos V. Sahinidis & Bikram Sharda & Scott J. Bury, 2016. "Simulation optimization: a review of algorithms and applications," Annals of Operations Research, Springer, vol. 240(1), pages 351-380, May.
    87. James Risk & Michael Ludkovski, 2015. "Statistical Emulators for Pricing and Hedging Longevity Risk Products," Papers 1508.00310, arXiv.org, revised Sep 2015.
    88. Jack P. C. Kleijnen, 2017. "Comment on Park et al.’s “Robust Kriging in computer experiments”," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(6), pages 739-740, June.
    89. Kleijnen, Jack P.C. & Beers, Wim van & Nieuwenhuyse, Inneke van, 2010. "Constrained optimization in expensive simulation: Novel approach," European Journal of Operational Research, Elsevier, vol. 202(1), pages 164-174, April.
    90. Chen, Xi & Zhou, Qiang, 2017. "Sequential design strategies for mean response surface metamodeling via stochastic kriging with adaptive exploration and exploitation," European Journal of Operational Research, Elsevier, vol. 262(2), pages 575-585.
    91. Cannella, Salvatore & Dominguez, Roberto & Framinan, Jose M., 2017. "Inventory record inaccuracy – The impact of structural complexity and lead time variability," Omega, Elsevier, vol. 68(C), pages 123-138.
    92. Shi, Wen & Leng, Kaijun & Van Nieuwenhuyse, Inneke & Liu, Yucui & Chen, Xiaohong, 2020. "Vehicle recalls performance in an emerging market: Evidence from the comparison between China and U.S," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 290-307.

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