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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. Pata, Ugur Korkut & Kartal, Mustafa Tevfik & Erdogan, Sinan & Sarkodie, Samuel Asumadu, 2023. "The role of renewable and nuclear energy R&D expenditures and income on environmental quality in Germany: Scrutinizing the EKC and LCC hypotheses with smooth structural changes," Applied Energy, Elsevier, vol. 342(C).
    2. Zhang, Mengling & Jiao, Zihao & Ran, Lun & Zhang, Yuli, 2023. "Optimal energy and reserve scheduling in a renewable-dominant power system," Omega, Elsevier, vol. 118(C).
    3. Grytten, Jostein & Skau, Irene & Sørensen, Rune, 2024. "Fertility and immigration: Do immigrant mothers hand down their fertility pattern to the next generation? Evidence from Norway," Economics & Human Biology, Elsevier, vol. 52(C).
    4. Allen, Kate & Melendez-Torres, G.J. & Ford, Tamsin & Bonell, Chris & Berry, Vashti, 2024. "Experiences of current UK service provision for co-occurring parental domestic violence and abuse, mental ill-health, and substance misuse: A reflexive thematic analysis," Children and Youth Services Review, Elsevier, vol. 158(C).
    5. Nuno Costa & Paulo Fontes, 2020. "Energy-Efficiency Assessment and Improvement—Experiments and Analysis Methods," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    6. Ringsberg, Henrik, 2023. "Sustainable FLM transport based on IPF transport by ferry in coastal rural areas: A case from Sweden," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    7. 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.
    8. Mazur, Natalia & Blijlevens, Melian A.R. & Ruliaman, Rick & Fischer, Hartmut & Donkers, Pim & Meekes, Hugo & Vlieg, Elias & Adan, Olaf & Huinink, Henk, 2023. "Revisiting salt hydrate selection for domestic heat storage applications," Renewable Energy, Elsevier, vol. 218(C).

  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. & 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)," Discussion Paper 2017-006, Tilburg University, Center for Economic Research.

  4. 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. Kleijnen, J.P.C. & van Beers, W.C.M., 2018. "Prediction for Big Data through Kriging : Small Sequential and One-Shot Designs," Other publications TiSEM b0504930-f518-44f7-908c-6, Tilburg University, School of Economics and Management.
    2. Nuno Costa & Paulo Fontes, 2020. "Energy-Efficiency Assessment and Improvement—Experiments and Analysis Methods," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    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.

  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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Meng, Yuan & Zhang, Dequan & Shi, Baojun & Wang, Dapeng & Wang, Fang, 2024. "An active learning Kriging model with approximating parallel strategy for structural reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    6. 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.
    7. 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).
    8. 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).
    9. 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.
    10. 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.
    11. 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).
    12. Sylvain Barde & Sander van Der Hoog, 2017. "An empirical validation protocol for large-scale agent-based models," Working Papers hal-03458672, HAL.
    13. 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).
    14. Powell, Warren B., 2019. "A unified framework for stochastic optimization," European Journal of Operational Research, Elsevier, vol. 275(3), pages 795-821.
    15. 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).
    16. Liu, Yushan & Li, Luyi & Chang, Zeming, 2023. "Efficient Bayesian model updating for dynamic systems," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    17. Nuno Costa & Paulo Fontes, 2020. "Energy-Efficiency Assessment and Improvement—Experiments and Analysis Methods," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    18. 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.
    19. 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.
    20. 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).
    21. 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.
    22. 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.
    23. 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.
    24. 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.

  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. 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," Other publications TiSEM 5e785713-146c-4e5b-b671-f, Tilburg University, School of Economics and Management.
    2. Mehdad, E. & Kleijnen, Jack P.C., 2014. "Global Optimization for Black-box Simulation via Sequential Intrinsic Kriging," Discussion Paper 2014-063, Tilburg University, Center for Economic Research.
    3. 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.
    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. 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.

  8. 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)," Discussion Paper 2017-006, Tilburg University, Center for Economic Research.

  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. 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.
    2. 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).
    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. 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.
    5. 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).
    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. Arora, Richa & Behera, Shuvashish & Sharma, Nilesh Kumar & Kumar, Sachin, 2017. "Augmentation of ethanol production through statistically designed growth and fermentation medium using novel thermotolerant yeast isolates," Renewable Energy, Elsevier, vol. 109(C), pages 406-421.
    2. Lu Chen & Qincheng Chen & Pinhua Rao & Lili Yan & Alghashm Shakib & Guoqing Shen, 2018. "Formulating and Optimizing a Novel Biochar-Based Fertilizer for Simultaneous Slow-Release of Nitrogen and Immobilization of Cadmium," Sustainability, MDPI, vol. 10(8), pages 1-14, August.
    3. 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.
    4. Abdi Hanra Sebayang & Masjuki Haji Hassan & Hwai Chyuan Ong & Surya Dharma & Arridina Susan Silitonga & Fitranto Kusumo & Teuku Meurah Indra Mahlia & Aditiya Harjon Bahar, 2017. "Optimization of Reducing Sugar Production from Manihot glaziovii Starch Using Response Surface Methodology," Energies, MDPI, vol. 10(1), pages 1-13, January.
    5. 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).
    6. 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).
    7. Alejandro Alvarado-Iniesta & Luis Gonzalo Guillen-Anaya & Luis Alberto Rodríguez-Picón & Raul Ñeco-Caberta, 2020. "Multi-objective optimization of an engine mount design by means of memetic genetic programming and a local exploration approach," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 19-32, January.
    8. Suman Mor & Manchanda K. Chhavi & Kansal K. Sushil & Khaiwal Ravindra, 2018. "Assessment of hydrothermally modified fly ash for the treatment of methylene blue dye in the textile industry wastewater," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(2), pages 625-639, April.
    9. 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.
    10. Zabed, H. & Sahu, J.N. & Boyce, A.N. & Faruq, G., 2016. "Fuel ethanol production from lignocellulosic biomass: An overview on feedstocks and technological approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 751-774.
    11. Lakshmikandan, M. & Murugesan, A.G., 2016. "Enhancement of growth and biohydrogen production potential of Chlorella vulgaris MSU-AGM 14 by utilizing seaweed aqueous extract of Valoniopsis pachynema," Renewable Energy, Elsevier, vol. 96(PA), pages 390-399.
    12. 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).
    13. Liu, Haoye & Wang, Zhi & Li, Yanfei & Zheng, Yanyan & He, Tanjin & Wang, Jianxin, 2019. "Recent progress in the application in compression ignition engines and the synthesis technologies of polyoxymethylene dimethyl ethers," Applied Energy, Elsevier, vol. 233, pages 599-611.
    14. Abiola Ezekiel Taiwo & Tafirenyika Nyamayaro Madzimbamuto & Tunde Victor Ojumu, 2018. "Optimization of Corn Steep Liquor Dosage and Other Fermentation Parameters for Ethanol Production by Saccharomyces cerevisiae Type 1 and Anchor Instant Yeast," Energies, MDPI, vol. 11(7), pages 1-20, July.
    15. Kan, Xiang & Chen, Xiaoping & Shen, Ye & Lapkin, Alexei A. & Kraft, Markus & Wang, Chi-Hwa, 2019. "Box-Behnken design based CO2 co-gasification of horticultural waste and sewage sludge with addition of ash from waste as catalyst," Applied Energy, Elsevier, vol. 242(C), pages 1549-1561.
    16. Thangarasu, Vinoth & M, Angkayarkan Vinayakaselvi & Ramanathan, Anand, 2021. "Artificial neural network approach for parametric investigation of biodiesel synthesis using biocatalyst and engine characteristics of diesel engine fuelled with Aegle Marmelos Correa biodiesel," Energy, Elsevier, vol. 230(C).
    17. Zhiming Li & Kaiying Nie & Zhaojing Wang & Dianhui Luo, 2016. "Quantitative Structure Activity Relationship Models for the Antioxidant Activity of Polysaccharides," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-22, September.
    18. Taghizadeh-Tabari, Zohre & Zeinali Heris, Saeed & Moradi, Maryam & Kahani, Mostafa, 2016. "The study on application of TiO2/water nanofluid in plate heat exchanger of milk pasteurization industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1318-1326.
    19. Pang, Na & Gu, Xiangyu & Chen, Shulin & Kirchhoff, Helmut & Lei, Hanwu & Roje, Sanja, 2019. "Exploiting mixotrophy for improving productivities of biomass and co-products of microalgae," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 450-460.
    20. Nam, Hyungseok & Maglinao, Amado L. & Capareda, Sergio C. & Rodriguez-Alejandro, David Aaron, 2016. "Enriched-air fluidized bed gasification using bench and pilot scale reactors of dairy manure with sand bedding based on response surface methods," Energy, Elsevier, vol. 95(C), pages 187-199.
    21. 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).
    22. Marinos Xagoraris & Ioanna Oikonomou & Dimitra Daferera & Charalambos Kanakis & Iliada K. Lappa & Charilaos Giotis & Christos S. Pappas & Petros A. Tarantilis & Efstathia Skotti, 2021. "Quality Evaluation of Winery By-Products from Ionian Islands Grape Varieties in the Concept of Circular Bioeconomy," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    23. Ghadikolaei, Meisam Ahmadi & Wong, Pak Kin & Cheung, Chun Shun & Ning, Zhi & Yung, Ka-Fu & Zhao, Jing & Gali, Nirmal Kumar & Berenjestanaki, Alireza Valipour, 2021. "Impact of lower and higher alcohols on the physicochemical properties of particulate matter from diesel engines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    24. 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.
    25. 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.
    26. 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.
    27. Hansen, Samuel & Mirkouei, Amin & Diaz, Luis A., 2020. "A comprehensive state-of-technology review for upgrading bio-oil to renewable or blended hydrocarbon fuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    28. Sajjadi, Baharak & Raman, Abdul Aziz Abdul & Arandiyan, Hamidreza, 2016. "A comprehensive review on properties of edible and non-edible vegetable oil-based biodiesel: Composition, specifications and prediction models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 62-92.
    29. 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.
    30. Milano, Jassinnee & Ong, Hwai Chyuan & Masjuki, H.H. & Chong, W.T. & Lam, Man Kee & Loh, Ping Kwan & Vellayan, Viknes, 2016. "Microalgae biofuels as an alternative to fossil fuel for power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 180-197.
    31. Abdulyekeen, Kabir Abogunde & Umar, Ahmad Abulfathi & Patah, Muhamad Fazly Abdul & Daud, Wan Mohd Ashri Wan, 2021. "Torrefaction of biomass: Production of enhanced solid biofuel from municipal solid waste and other types of biomass," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    32. 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.
    33. 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.
    34. Marco Bietresato & Carlo Caligiuri & Anna Bolla & Massimiliano Renzi & Fabrizio Mazzetto, 2019. "Proposal of a Predictive Mixed Experimental- Numerical Approach for Assessing the Performance of Farm Tractor Engines Fuelled with Diesel- Biodiesel-Bioethanol Blends," Energies, MDPI, vol. 12(12), pages 1-45, June.
    35. F. Azizpour & F. Qaderi, 2020. "Optimization, modeling and uncertainty investigation of phenolic wastewater treatment by photocatalytic process in cascade reactor," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(7), pages 6315-6342, October.
    36. P. Luangpaiboon & S. Boonhao & R. Montemanni, 2019. "Steepest ant sense algorithm for parameter optimisation of multi-response processes based on taguchi design," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 441-457, January.
    37. Tye, Ying Ying & Leh, Cheu Peng & Wan Abdullah, Wan Nadiah, 2017. "Total glucose yield as the single response in optimizing pretreatments for Elaeis guineensis fibre enzymatic hydrolysis and its relationship with chemical composition of fibre," Renewable Energy, Elsevier, vol. 114(PB), pages 383-393.
    38. Silitonga, A.S. & Masjuki, H.H. & Ong, Hwai Chyuan & Sebayang, A.H. & Dharma, S. & Kusumo, F. & Siswantoro, J. & Milano, Jassinnee & Daud, Khairil & Mahlia, T.M.I. & Chen, Wei-Hsin & Sugiyanto, Bamban, 2018. "Evaluation of the engine performance and exhaust emissions of biodiesel-bioethanol-diesel blends using kernel-based extreme learning machine," Energy, Elsevier, vol. 159(C), pages 1075-1087.
    39. Zhongwei Liang & Shaopeng Liao & Yiheng Wen & Xiaochu Liu, 2019. "Working parameter optimization of strengthen waterjet grinding with the orthogonal-experiment-design-based ANFIS," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 833-854, February.
    40. Pachiannan, Tamilselvan & Zhong, Wenjun & Rajkumar, Sundararajan & He, Zhixia & Leng, Xianying & Wang, Qian, 2019. "A literature review of fuel effects on performance and emission characteristics of low-temperature combustion strategies," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    41. Naderloo, Leila & Javadikia, Hossein & Mostafaei, Mostafa, 2017. "Modeling the energy ratio and productivity of biodiesel with different reactor dimensions and ultrasonic power using ANFIS," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 56-64.
    42. Yujun Shi & Linni Jian, 2018. "A Novel Dual-Permanent-Magnet-Excited Machine with Flux Strengthening Effect for Low-Speed Large-Torque Applications," Energies, MDPI, vol. 11(1), pages 1-17, January.
    43. 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.
    44. Mathur M & Raichur V & V Kusumdevi, 2018. "Paediatric Friendly Dosage Form for Enhanced Therapeutic Efficacy in Aids and the Opportunistic Infection Tuberculosis," Novel Approaches in Drug Designing & Development, Juniper Publishers Inc., vol. 3(5), pages 97-114, March.
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    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. 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.
    3. 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.
    4. 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.
    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. Shi, Wen & Kleijnen, J.P.C., 2017. "Testing the Assumptions of Sequential Bifurcation for Factor Screening (revision of CentER DP 2015-034)," Discussion Paper 2017-006, Tilburg University, Center for Economic Research.
    7. 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.
    8. 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.
    9. 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.
    10. 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.

  12. 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, Ehsan, 2014. "Multivariate versus univariate Kriging metamodels for multi-response simulation models," European Journal of Operational Research, Elsevier, vol. 236(2), pages 573-582.
    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, 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.

  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. 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.
    2. 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.
    3. Bram L. Gorissen, 2015. "Robust Fractional Programming," Journal of Optimization Theory and Applications, Springer, vol. 166(2), pages 508-528, August.
    4. 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.

  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, 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.
    3. 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.
    4. 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. 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, 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.

  21. 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.

  22. 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.

  23. 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.

  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. 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.
    2. Areski Cousin & Hassan Maatouk & Didier Rulli`ere, 2016. "Kriging of financial term-structures," Papers 1604.02237, arXiv.org.

  25. 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).

  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, 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Othmane Benmoussa, 2022. "Improving Replenishment Flows Using Simulation Results: A Case Study," Logistics, MDPI, vol. 6(2), pages 1-26, May.
    13. 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.
    14. 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.
    15. Carolina Osorio & Michel Bierlaire, 2013. "A Simulation-Based Optimization Framework for Urban Transportation Problems," Operations Research, INFORMS, vol. 61(6), pages 1333-1345, December.
    16. 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.
    17. 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.
    18. 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.
    19. 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).
    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. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.

  27. 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. 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.
    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. Pourmohammadi, Pardis & Saif, Ahmed, 2023. "Robust metamodel-based simulation-optimization approaches for designing hybrid renewable energy systems," Applied Energy, Elsevier, vol. 341(C).
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.

  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?," Levine's Working Paper Archive 661465000000000128, David K. Levine.

  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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Kleijnen, Jack P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2010. "Constrained optimization in simulation : A novel approach," Other publications TiSEM b3655866-b593-4854-a4fd-5, Tilburg University, School of Economics and Management.
    14. 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.
    15. 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.
    16. 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)," Other publications TiSEM 3e563d88-0029-47f6-a66b-e, Tilburg University, School of Economics and Management.
    17. 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.
    18. 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.
    19. Baquela, Enrique Gabriel & Olivera, Ana Carolina, 2019. "A novel hybrid multi-objective metamodel-based evolutionary optimization algorithm," Operations Research Perspectives, Elsevier, vol. 6(C).
    20. 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.
    21. 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).
    22. 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.
    23. 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.
    24. 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.
    25. Barry Anderson & Emanuele Borgonovo & Marzio Galeotti & Roberto Roson, 2014. "Uncertainty in Climate Change Modeling: Can Global Sensitivity Analysis Be of Help?," Risk Analysis, John Wiley & Sons, vol. 34(2), pages 271-293, February.
    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. 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.
    28. 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.
    29. 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).
    30. 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).
    31. Kleijnen, Jack P.C. & van Beers, W.C.M., 2013. "Monotonicity-preserving bootstrapped kriging metamodels for expensive simulations," Other publications TiSEM 6b0d8c68-19f5-485b-b3e2-9, Tilburg University, School of Economics and Management.
    32. 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.
    33. 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).
    34. 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.
    35. 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.
    36. 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).
    37. 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.
    38. 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.
    39. 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).
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    42. 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.
    43. 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.
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    46. 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.
    47. 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.
    48. 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.
    49. 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.
    50. 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.
    51. 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.
    52. 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.
    53. 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).
    54. 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.
    55. 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.
    56. 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.
    57. 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).
    58. 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.
    59. 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.
    60. 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.
    61. 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.
    62. 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.
    63. 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.
    64. 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).
    65. 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.
    66. Awad, Mahmoud, 2017. "Analyzing sensitivity measures using moment-matching technique," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 90-99.
    67. 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.
    68. 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.
    69. Borgonovo, Emanuele & Plischke, Elmar, 2016. "Sensitivity analysis: A review of recent advances," European Journal of Operational Research, Elsevier, vol. 248(3), pages 869-887.
    70. Fu, Quanlu & Wu, Jiyan & Wu, Xuemian & Sun, Jian & Tian, Ye, 2024. "Managing network congestion with link-based incentives: A surrogate-based optimization approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    71. 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.
    72. 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.
    73. Zio, E., 2018. "The future of risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 176-190.
    74. 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.
    75. Dawei Zhan & Huanlai Xing, 2020. "Expected improvement for expensive optimization: a review," Journal of Global Optimization, Springer, vol. 78(3), pages 507-544, November.
    76. 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.
    77. 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.
    78. 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.
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    85. 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.
    86. 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.
    87. 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.

  30. 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.

  31. 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," Discussion Paper 2007-30, Tilburg University, Center for Economic Research.
    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.

  32. 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," Discussion Paper 2007-30, Tilburg University, Center for Economic Research.
    2. 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).
    3. 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.
    4. 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.
    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., 2015. "Regression and Kriging Metamodels with Their Experimental Designs in Simulation : Review," Discussion Paper 2015-035, Tilburg University, Center for Economic Research.
    7. Kleijnen, Jack P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2010. "Constrained optimization in simulation : A novel approach," Other publications TiSEM b3655866-b593-4854-a4fd-5, Tilburg University, School of Economics and Management.
    8. Jason R. W. Merrick, 2009. "Bayesian Simulation and Decision Analysis: An Expository Survey," Decision Analysis, INFORMS, vol. 6(4), pages 222-238, December.
    9. Bruce Ankenman & Barry L. Nelson & Jeremy Staum, 2010. "Stochastic Kriging for Simulation Metamodeling," Operations Research, INFORMS, vol. 58(2), pages 371-382, April.
    10. 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.
    11. Kleijnen, J.P.C., 2009. "Sensitivity Analysis of Simulation Models," Other publications TiSEM 2016cf94-0329-4aa0-a4ea-4, Tilburg University, School of Economics and Management.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    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.

  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. 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.
    2. 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.
    3. 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.
    4. 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.

  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. 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.
    2. 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.
    3. 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.
    4. 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.
    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. van Beers, W.C.M. & Kleijnen, J.P.C., 2005. "Customized Sequential Designs for Random Simulation Experiments : Kriging Metamodelling and Bootstrapping," Other publications TiSEM 893d38f9-8ca5-42ae-9737-6, Tilburg University, School of Economics and Management.
    7. Kleijnen, Jack P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2010. "Constrained optimization in simulation : A novel approach," Other publications TiSEM b3655866-b593-4854-a4fd-5, Tilburg University, School of Economics and Management.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Kleijnen, Jack P.C. & van Beers, W.C.M., 2013. "Monotonicity-preserving bootstrapped kriging metamodels for expensive simulations," Other publications TiSEM 6b0d8c68-19f5-485b-b3e2-9, Tilburg University, School of Economics and Management.
    14. 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.
    15. 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.
    16. 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.
    17. Kleijnen, J.P.C., 2009. "Sensitivity Analysis of Simulation Models," Other publications TiSEM 2016cf94-0329-4aa0-a4ea-4, Tilburg University, School of Economics and Management.
    18. Stinstra, Erwin & den Hertog, Dick, 2008. "Robust optimization using computer experiments," European Journal of Operational Research, Elsevier, vol. 191(3), pages 816-837, December.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    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. 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.
    25. 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.
    26. 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).

  35. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Collan, Mikael, 2004. "Giga-Investments: Modelling the Valuation of Very Large Industrial Real Investments," MPRA Paper 4328, University Library of Munich, Germany.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Borgonovo, E., 2007. "A new uncertainty importance measure," Reliability Engineering and System Safety, Elsevier, vol. 92(6), pages 771-784.
    19. 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.
    20. 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).
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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).
    26. Lu, Xuefei & Borgonovo, Emanuele, 2023. "Global sensitivity analysis in epidemiological modeling," European Journal of Operational Research, Elsevier, vol. 304(1), pages 9-24.
    27. 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.
    28. 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).
    29. 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.
    30. 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.
    31. 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. 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. 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.

  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. Kleijnen, J.P.C., 2007. "Simulation Experiments in Practice : Statistical Design and Regression Analysis," Discussion Paper 2007-30, Tilburg University, Center for Economic Research.
    2. 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).
    3. den Hertog, D. & Kleijnen, J.P.C. & Siem, A.Y.D., 2004. "The Correct Kriging Variance Estimated by Bootstrapping," Other publications TiSEM 00a66547-3e9a-4ccf-8c7b-8, Tilburg University, School of Economics and Management.
    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. 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. Kleijnen, Jack P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2010. "Constrained optimization in simulation : A novel approach," Other publications TiSEM b3655866-b593-4854-a4fd-5, Tilburg University, School of Economics and Management.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Stinstra, Erwin & den Hertog, Dick, 2008. "Robust optimization using computer experiments," European Journal of Operational Research, Elsevier, vol. 191(3), pages 816-837, December.
    18. 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.
    19. 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.
    20. Xin, Fukang & Wang, Pan & Wang, Qirui & Li, Lei & Cheng, Lei & Lei, Huajin & Ma, Fangyun, 2024. "Parallel adaptive ensemble of metamodels combined with hypersphere sampling for rare failure events," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
    21. 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.
    22. 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.
    23. 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.
    24. 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.

  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. 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.
    2. 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.
    3. 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.
    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, October.
    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. 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.
    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. 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.

  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. Pourmohammadi, Pardis & Saif, Ahmed, 2023. "Robust metamodel-based simulation-optimization approaches for designing hybrid renewable energy systems," Applied Energy, Elsevier, vol. 341(C).
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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.

  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 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. 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.
    2. 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.
    3. Kleijnen, Jack P.C., 2009. "Kriging metamodeling in simulation: A review," European Journal of Operational Research, Elsevier, vol. 192(3), pages 707-716, February.
    4. van Beers, W.C.M. & Kleijnen, J.P.C., 2005. "Customized Sequential Designs for Random Simulation Experiments : Kriging Metamodelling and Bootstrapping," Other publications TiSEM 893d38f9-8ca5-42ae-9737-6, Tilburg University, School of Economics and Management.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. Kleijnen, J.P.C. & van Beers, W.C.M., 2003. "Application-driven Sequential Designs for Simulation Experiments : Kriging Metamodeling," Other publications TiSEM 1af5ac49-a5f3-4b8a-901c-b, Tilburg University, School of Economics and Management.
    10. 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.
    11. 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.
    12. 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).
    13. Bruce Ankenman & Barry L. Nelson & Jeremy Staum, 2010. "Stochastic Kriging for Simulation Metamodeling," Operations Research, INFORMS, vol. 58(2), pages 371-382, April.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. Kleijnen, J.P.C., 2009. "Sensitivity Analysis of Simulation Models," Other publications TiSEM 2016cf94-0329-4aa0-a4ea-4, Tilburg University, School of Economics and Management.
    20. 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.
    21. 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.
    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. 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.
    24. 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.
    25. Michael Ludkovski, 2015. "Kriging Metamodels and Experimental Design for Bermudan Option Pricing," Papers 1509.02179, arXiv.org, revised Oct 2016.
    26. 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.
    27. 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.

  43. 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," Discussion Paper 2004-17, Tilburg University, Center for Economic Research.

  44. 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. van Schaik, F.D.J. & Kleijnen, J.P.C., 2001. "Sealed-Bid Auctions : Case Study," Other publications TiSEM dd93bf40-d790-4fd1-ac2c-f, Tilburg University, School of Economics and Management.
    2. Ignacio Esponda, 2008. "Information feedback in first price auctions," RAND Journal of Economics, RAND Corporation, vol. 39(2), pages 491-508, June.

  45. 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. & 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.
    2. 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.
    3. 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.
    4. Sener Salci & Glenn P. Jenkins, 2016. "Incorporating Risk and Uncertainty in Cost-Benefit Analysis," Development Discussion Papers 2016-09, JDI Executive Programs.
    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).

  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. 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).
    3. 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.
    4. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    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. 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.
    7. 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.

  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. Hertel, Thomas W. & Keeney, Roman & Valenzuela, Ernesto, 2004. "Global Analysis of Agricultural Trade Liberalization: Assessing Model Validity," Conference papers 331270, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    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. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. Robinson, Stewart, 2002. "General concepts of quality for discrete-event simulation," European Journal of Operational Research, Elsevier, vol. 138(1), pages 103-117, April.
    9. 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.
    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. 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.

  48. 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.

  49. 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. 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.
    2. Hertel, Thomas W. & Keeney, Roman & Valenzuela, Ernesto, 2004. "Global Analysis of Agricultural Trade Liberalization: Assessing Model Validity," Conference papers 331270, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    3. Holzner, Mario, 2005. "GSIM Measurement of the Costs of Protection in Southeast Europe," Conference papers 331323, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    4. 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.

  50. 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.

  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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2019. "Validation of Agent-Based Models in Economics and Finance," SciencePo Working papers Main halshs-02375423, HAL.
    7. Martínez, A. & Astrain, D. & Rodríguez, A., 2013. "Dynamic model for simulation of thermoelectric self cooling applications," Energy, Elsevier, vol. 55(C), pages 1114-1126.
    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. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Katarzyna Growiec & Jakub Growiec & Bogumil Kaminski, 2017. "Social Network Structure and The Trade-Off Between Social Utility and Economic Performance," KAE Working Papers 2017-026, Warsaw School of Economics, Collegium of Economic Analysis.
    16. Panknin, Lea & Boy, Karl-Friedrich & Henning, Christian H.C.A., 2024. "Can the European Green Deal be a game changer for sustainable food system transformation? A computational political economy approach," 2024 Annual Meeting, July 28-30, New Orleans, LA 343740, Agricultural and Applied Economics Association.
    17. Kleijnen, J.P.C. & van Beers, W.C.M., 2003. "Application-driven Sequential Designs for Simulation Experiments : Kriging Metamodeling," Other publications TiSEM 1af5ac49-a5f3-4b8a-901c-b, Tilburg University, School of Economics and Management.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    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. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. Richard E. Nance & Robert G. Sargent, 2002. "Perspectives on the Evolution of Simulation," Operations Research, INFORMS, vol. 50(1), pages 161-172, February.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    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. 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.
    38. 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.
    39. 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.
    40. Kamiński, Bogumił, 2015. "A method for the updating of stochastic kriging metamodels," European Journal of Operational Research, Elsevier, vol. 247(3), pages 859-866.
    41. 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).
    42. 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, October.
    43. 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.
    44. 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.
    45. 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.
    46. 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.
    47. Poropudas, Jirka & Virtanen, Kai, 2011. "Simulation metamodeling with dynamic Bayesian networks," European Journal of Operational Research, Elsevier, vol. 214(3), pages 644-655, November.
    48. 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.
    49. 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.
    50. 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.
    51. 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.
    52. 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.
    53. 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.
    54. 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.
    55. 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.
    56. 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).
    57. 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.
    58. 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.
    59. 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).
    60. 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.
    61. 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.
    62. 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.
    63. 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.
    64. 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.
    65. 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.

  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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.

  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. 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.
    2. 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.
    3. 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.
    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. 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.
    6. Kleijnen, J.P.C. & Sargent, R., 1997. "A Methodology for Fitting and Validating Metamodels in Simulation," Other publications TiSEM b8c2217c-f02c-4786-b704-7, Tilburg University, School of Economics and Management.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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).
    16. 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.
    17. 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).
    18. 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.
    19. 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).
    20. 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.
    21. 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.
    22. 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.
    23. 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).
    24. 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.
    25. 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).

  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., 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., 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.
    2. Kleijnen, J.P.C. & Sargent, R., 1997. "A Methodology for Fitting and Validating Metamodels in Simulation," Other publications TiSEM b8c2217c-f02c-4786-b704-7, Tilburg University, School of Economics and Management.
    3. 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.
    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. 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.
    6. Kleijnen, J. P. C., 2001. "Ethical issues in modeling: Some reflections," European Journal of Operational Research, Elsevier, vol. 130(1), pages 223-230, April.
    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. 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.

  59. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Mingbin Ben Feng & Eunhye Song, 2020. "Efficient Nested Simulation Experiment Design via the Likelihood Ratio Method," Papers 2008.13087, arXiv.org, revised May 2024.
    7. 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.
    8. 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.

  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., 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.
    2. Kleijnen, Jack P. C., 1995. "Verification and validation of simulation models," European Journal of Operational Research, Elsevier, vol. 82(1), pages 145-162, April.
    3. 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.
    4. 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.
    5. Kleijnen, Jack P. C., 1995. "Statistical validation of simulation models," European Journal of Operational Research, Elsevier, vol. 87(1), pages 21-34, November.
    6. Kleijnen, J.P.C. & Alink, G.A., 1992. "Validation of simulation models : Mine-hunting case-study," Other publications TiSEM 7158fbd4-2932-4cc9-8c10-5, Tilburg University, School of Economics and Management.

  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," Discussion Paper 2007-30, Tilburg University, Center for Economic Research.
    2. 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.
    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. "White Noise Assumptions Revisited : Regression Models and Statistical Designs for Simulation Practice," Discussion Paper 2006-50, Tilburg University, Center for Economic Research.
    5. 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.
    6. 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.

  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. 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.
    2. 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).
    3. 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.
    4. 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.
    5. Yaron Hollander & Ronghui Liu, 2008. "The principles of calibrating traffic microsimulation models," Transportation, Springer, vol. 35(3), pages 347-362, May.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. Kleijnen, J.P.C. & Sargent, R., 1997. "A Methodology for Fitting and Validating Metamodels in Simulation," Other publications TiSEM b8c2217c-f02c-4786-b704-7, Tilburg University, School of Economics and Management.
    22. 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.
    23. 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.
    24. Sander van der Hoog, 2017. "Deep Learning in (and of) Agent-Based Models: A Prospectus," Papers 1706.06302, arXiv.org.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. Navarro, Andres & Tapiador, Francisco J., 2019. "RUSEM: A numerical model for policymaking and climate applications," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    33. 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).
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. Aumann, Craig A., 2007. "A methodology for developing simulation models of complex systems," Ecological Modelling, Elsevier, vol. 202(3), pages 385-396.
    40. 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.
    41. 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.
    42. 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.
    43. 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.
    44. 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.
    45. 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.
    46. 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.
    47. Kleijnen, Jack P. C., 1995. "Statistical validation of simulation models," European Journal of Operational Research, Elsevier, vol. 87(1), pages 21-34, November.
    48. Robinson, Stewart, 2002. "General concepts of quality for discrete-event simulation," European Journal of Operational Research, Elsevier, vol. 138(1), pages 103-117, April.
    49. 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.
    50. 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.
    51. 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.
    52. 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.
    53. 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.
    54. Kleijnen, J. P. C., 2001. "Ethical issues in modeling: Some reflections," European Journal of Operational Research, Elsevier, vol. 130(1), pages 223-230, April.
    55. 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.
    56. 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.
    57. 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.
    58. 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.
    59. 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.
    60. 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.
    61. 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.
    62. 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.
    63. 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.
    64. 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.
    65. 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.
    66. 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.
    67. 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).
    68. MacPherson, Brian & Gras, Robin, 2016. "Individual-based ecological models: Adjunctive tools or experimental systems?," Ecological Modelling, Elsevier, vol. 323(C), pages 106-114.
    69. 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).
    70. 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.
    71. 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.
    72. 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.
    73. 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.
    74. 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.
    75. 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.
    76. 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.

  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. 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. 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.
    2. 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.
    3. 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.
    4. Chenglin Hu & Junsong Bian & Daozhi Zhao & Longfei He & Fangqi Dong, 2024. "Optimal Dynamic Production Planning for Supply Network with Random External and Internal Demands," Mathematics, MDPI, vol. 12(17), pages 1-33, August.
    5. 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.
    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. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    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.
    14. 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.

  66. 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.

  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," Research Memorandum FEW 440, 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    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. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.

  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," Research Memorandum FEW 440, 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," Other publications TiSEM 663e996b-5c8c-46f4-ab23-b, 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., 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.
    2. 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.
    3. van Groenendaal, W.J.H., 1998. "Estimating NVP variability for deterministic models," Other publications TiSEM 41e4909c-b876-46a4-8abd-5, 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. Kleijnen, J.P.C. & Sargent, R., 1997. "A Methodology for Fitting and Validating Metamodels in Simulation," Other publications TiSEM b8c2217c-f02c-4786-b704-7, Tilburg University, School of Economics and Management.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.

  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," Other publications TiSEM e0bf2494-2e2f-478f-aee7-5, 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," Research Memorandum FEW 161, 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," Research Memorandum FEW 135, 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. "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.

  80. 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.

  81. 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. 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.
    2. 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.
    3. Kleijnen, J.P.C., 1983. "Regression analysis : Assumptions, alternatives, applications," Research Memorandum FEW 135, 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. Kleijnen, J.P.C., 1988. "Analyzing simulation experiments with common random number, part II : Rao's approach," Other publications TiSEM 18f1a3e3-e82a-4c21-b3bf-b, Tilburg University, School of Economics and Management.
    6. Kleijnen, J.P.C., 1985. "A scenario for sequential experimentation," Other publications TiSEM 66e3aece-fa85-4afd-817c-4, Tilburg University, School of Economics and Management.
    7. 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.
    8. 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.
    9. 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. 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.

  85. 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. 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.

Articles

  1. 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.
    See citations under working paper version above.
  2. 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.
  3. 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.
  4. 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.
  5. 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. Ambler, Kate & de Brauw, Alan & Herskowitz, Sylvan & Pulido, Cristhian, 2023. "Viewpoint: Finance needs of the agricultural midstream," Food Policy, Elsevier, vol. 121(C).
    2. 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.

  6. 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.

  7. 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.
  8. 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. 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.
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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).
    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. 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.
  10. 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. 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.
    2. 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.
    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. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    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. 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. Dawei Zhan & Huanlai Xing, 2020. "Expected improvement for expensive optimization: a review," Journal of Global Optimization, Springer, vol. 78(3), pages 507-544, November.
    13. 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. 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. & 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.
  13. 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, 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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.
    12. Othmane Benmoussa, 2022. "Improving Replenishment Flows Using Simulation Results: A Case Study," Logistics, MDPI, vol. 6(2), pages 1-26, May.
    13. 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.
    14. 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.
    15. Carolina Osorio & Michel Bierlaire, 2013. "A Simulation-Based Optimization Framework for Urban Transportation Problems," Operations Research, INFORMS, vol. 61(6), pages 1333-1345, December.
    16. 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.
    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. 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).
    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. 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.
    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. 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.
    24. 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.
    25. 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.

  14. 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.
  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. 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.
    2. 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.
    3. 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.

  16. 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.
  17. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.

  18. 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.
  19. 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.

  20. 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.
  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," Discussion Paper 2007-30, Tilburg University, Center for Economic Research.
    2. 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.
    3. van Beers, W.C.M. & Kleijnen, J.P.C., 2005. "Customized Sequential Designs for Random Simulation Experiments : Kriging Metamodelling and Bootstrapping," Other publications TiSEM 893d38f9-8ca5-42ae-9737-6, Tilburg University, School of Economics and Management.
    4. 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.
    5. Kleijnen, Jack P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2010. "Constrained optimization in simulation : A novel approach," Other publications TiSEM b3655866-b593-4854-a4fd-5, Tilburg University, School of Economics and Management.
    6. 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.
    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. 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. 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.
    10. 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.
    11. 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).
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    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. 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.
    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. 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.

  22. 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. Kleijnen, J.P.C., 2007. "Simulation Experiments in Practice : Statistical Design and Regression Analysis," Discussion Paper 2007-30, Tilburg University, Center for Economic Research.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.

  23. 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.
  24. 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. 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.
    2. 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.
    3. Kleijnen, Jack P.C., 2009. "Kriging metamodeling in simulation: A review," European Journal of Operational Research, Elsevier, vol. 192(3), pages 707-716, February.
    4. 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.
    5. 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)," Other publications TiSEM 3e563d88-0029-47f6-a66b-e, Tilburg University, School of Economics and Management.
    6. 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.
    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.
    8. Bruce Ankenman & Barry L. Nelson & Jeremy Staum, 2010. "Stochastic Kriging for Simulation Metamodeling," Operations Research, INFORMS, vol. 58(2), pages 371-382, April.
    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. 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.
    11. 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.
    12. 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.
    13. Fu, Quanlu & Wu, Jiyan & Wu, Xuemian & Sun, Jian & Tian, Ye, 2024. "Managing network congestion with link-based incentives: A surrogate-based optimization approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    14. 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.
    15. 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.
    16. 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. 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. 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.
  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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Kleijnen, J.P.C., 2003. "Supply Chain Simulation : A Survey," Discussion Paper 2003-103, Tilburg University, Center for Economic Research.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. Lejeune, Miguel A., 2013. "Probabilistic modeling of multiperiod service levels," European Journal of Operational Research, Elsevier, vol. 230(2), pages 299-312.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. Lai, Richard, 2005. "Bullwhip in a Spanish Shop," MPRA Paper 4758, University Library of Munich, Germany.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. 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.

  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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.

  30. 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. 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.
    2. 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.
    3. 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.
    4. 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).
    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. 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.
    8. 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.
    9. Kathrin Happe, 2005. "Agricultural policies and farm structures - agent-based simulation and application to EU-policy reform," Others 0504011, University Library of Munich, Germany.
    10. 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.
    11. 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.

  31. 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.
  32. 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. Kleijnen, J.P.C., 2007. "Simulation Experiments in Practice : Statistical Design and Regression Analysis," Discussion Paper 2007-30, Tilburg University, Center for Economic Research.
    2. 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.
    3. Deflandre, D. & Kleijnen, J.P.C., 2002. "Statistical Analysis of Random Simulations : Bootstrap Tutorial," Discussion Paper 2002-58, Tilburg University, Center for Economic Research.
    4. 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.

  33. 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. 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. 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.
    3. Andonegi, Aitor & Garmendia, Eneko & Aldezabal, Arantza, 2021. "Social multi-criteria evaluation for managing biodiversity conservation conflicts," Land Use Policy, Elsevier, vol. 109(C).
    4. 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.
    5. 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.
    6. 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.
    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.

  34. 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. & 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.
    3. 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.
    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. 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.
    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.

  35. 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. 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.
    2. 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.
    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. 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.
    5. 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.
    6. 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.
    7. 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.

  36. 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.
  37. 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.
  38. 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. 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.
    2. van Schaik, F.D.J. & Kleijnen, J.P.C., 2001. "Sealed-Bid Auctions : Case Study," Other publications TiSEM dd93bf40-d790-4fd1-ac2c-f, Tilburg University, School of Economics and Management.
    3. Kleijnen, J.P.C., 1999. "Validation of Models : Statistical Techniques and Data Availability," Other publications TiSEM f7518d14-a5e9-4c69-a579-6, Tilburg University, School of Economics and Management.
    4. Kleijnen, J.P.C. & Sargent, R., 1997. "A Methodology for Fitting and Validating Metamodels in Simulation," Other publications TiSEM b8c2217c-f02c-4786-b704-7, Tilburg University, School of Economics and Management.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    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.
    10. 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.
    11. 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.
    12. 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.
    13. Tedeschi, Luis Orlindo, 2006. "Assessment of the adequacy of mathematical models," Agricultural Systems, Elsevier, vol. 89(2-3), pages 225-247, September.

  39. 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. 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.
    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. 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.
    4. Kleijnen, J.P.C. & Sargent, R., 1997. "A Methodology for Fitting and Validating Metamodels in Simulation," Other publications TiSEM b8c2217c-f02c-4786-b704-7, Tilburg University, School of Economics and Management.
    5. 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.
    6. 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.
    7. Shi, Wen & Kleijnen, J.P.C., 2017. "Testing the Assumptions of Sequential Bifurcation for Factor Screening (revision of CentER DP 2015-034)," Discussion Paper 2017-006, Tilburg University, Center for Economic Research.
    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. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Kleijnen, J.P.C., 2009. "Sensitivity Analysis of Simulation Models," Other publications TiSEM 2016cf94-0329-4aa0-a4ea-4, Tilburg University, School of Economics and Management.
    16. 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.
    17. Awad, Mahmoud, 2017. "Analyzing sensitivity measures using moment-matching technique," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 90-99.
    18. 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.
    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. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.

  40. 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.
  41. 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. & Sargent, R., 1997. "A Methodology for Fitting and Validating Metamodels in Simulation," Other publications TiSEM b8c2217c-f02c-4786-b704-7, Tilburg University, School of Economics and Management.
    2. 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.
    3. 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.
    4. Robinson, Stewart, 2002. "General concepts of quality for discrete-event simulation," European Journal of Operational Research, Elsevier, vol. 138(1), pages 103-117, April.
    5. Kleijnen, J. P. C., 2001. "Ethical issues in modeling: Some reflections," European Journal of Operational Research, Elsevier, vol. 130(1), pages 223-230, April.
    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. 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.

  42. 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.
  43. 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.
  44. 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.W.M. & Kleijnen, J.P.C., 1991. "Identifying the important factors in simulation models with many factors," Other publications TiSEM 69669687-58b0-43b6-b04a-d, Tilburg University, School of Economics and Management.
    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.

  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," Discussion Paper 2007-30, Tilburg University, Center for Economic Research.
    2. 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.
    3. 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.
    4. 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.
    5. Kleijnen, J.P.C., 2001. "Experimental Design for Sensitivity Analysis of Simulation Models," Other publications TiSEM 1c716145-1d34-41b5-b965-7, 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, 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.
    8. 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.
    9. Kleijnen, J.P.C. & Sargent, R., 1997. "A Methodology for Fitting and Validating Metamodels in Simulation," Other publications TiSEM b8c2217c-f02c-4786-b704-7, Tilburg University, School of Economics and Management.
    10. 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.
    11. 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.
    12. Shi, Wen & Kleijnen, J.P.C., 2017. "Testing the Assumptions of Sequential Bifurcation for Factor Screening (revision of CentER DP 2015-034)," Discussion Paper 2017-006, Tilburg University, Center for Economic Research.
    13. 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.
    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. 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.
    16. 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.
    17. 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.

  46. 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.
  47. 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," Discussion Paper 2007-30, Tilburg University, Center for Economic Research.
    2. 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.

  48. 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.
  49. 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. 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.
    3. 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.
    4. 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.
    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.

  50. 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.
  51. 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.
  52. 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.
  53. 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, 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.
    2. 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).

  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. "Regression metamodel summarization of model behaviour," Other publications TiSEM 5ff81a8b-a5ca-4405-8606-e, Tilburg University, School of Economics and Management.
    2. Kleijnen, J.P.C., 1982. "Design of simulation experiments," Other publications TiSEM fe43d49a-7307-4393-8bd7-e, Tilburg University, School of Economics and Management.
    3. Kleijnen, J.P.C. & van Groenendaal, W.J.H., 1986. "Regression analysis of factoral designs with sequential replication," Other publications TiSEM e0bf2494-2e2f-478f-aee7-5, Tilburg University, School of Economics and Management.
    4. 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.
    5. 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.
    6. 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.
    7. 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.

  55. 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.

  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. 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.
    2. 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.
    3. 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.
    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. 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. 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.

  57. 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. Dag Kolsrud, 2008. "Stochastic Ceteris Paribus Simulations," Computational Economics, Springer;Society for Computational Economics, vol. 31(1), pages 21-43, February.
    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, 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.
    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. 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.
    6. 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.

Chapters

  1. 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.
  2. 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. 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. 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.

  3. 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.

  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. Kleijnen, Jack P.C. & van Beers, W.C.M., 2013. "Monotonicity-preserving bootstrapped kriging metamodels for expensive simulations," Other publications TiSEM 6b0d8c68-19f5-485b-b3e2-9, Tilburg University, School of Economics and Management.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    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. 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.
    2. 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.
    3. Fernando Loor & Veronica Gil-Costa & Mauricio Marin, 2024. "Metric Space Indices for Dynamic Optimization in a Peer to Peer-Based Image Classification Crowdsourcing Platform," Future Internet, MDPI, vol. 16(6), pages 1-29, June.
    4. 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.
    5. Sowa, Konrad & Przegalinska, Aleksandra & Ciechanowski, Leon, 2021. "Cobots in knowledge work," Journal of Business Research, Elsevier, vol. 125(C), pages 135-142.

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, April.

    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. 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.
    3. 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.
    4. 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.
    5. Mehdad, Ehsan & Kleijnen, J.P.C., 2015. "Efficient Global Optimization for Black-Box Simulation via Sequential Intrinsic Kriging," Other publications TiSEM 5e785713-146c-4e5b-b671-f, Tilburg University, School of Economics and Management.
    6. 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.
    7. 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.
    8. 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.
    9. 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).
    10. 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.
    11. 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.
    12. Kleijnen, J.P.C. & van Beers, W.C.M., 2018. "Prediction for Big Data through Kriging : Small Sequential and One-Shot Designs," Other publications TiSEM b0504930-f518-44f7-908c-6, Tilburg University, School of Economics and Management.
    13. 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.
    14. 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.
    15. Kleijnen, Jack P.C., 2009. "Kriging metamodeling in simulation: A review," European Journal of Operational Research, Elsevier, vol. 192(3), pages 707-716, February.
    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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. Baquela, Enrique Gabriel & Olivera, Ana Carolina, 2019. "A novel hybrid multi-objective metamodel-based evolutionary optimization algorithm," Operations Research Perspectives, Elsevier, vol. 6(C).
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. Shi, Wen & Kleijnen, J.P.C., 2017. "Testing the Assumptions of Sequential Bifurcation for Factor Screening (revision of CentER DP 2015-034)," Discussion Paper 2017-006, Tilburg University, Center for Economic Research.
    38. Kleijnen, Jack P.C. & van Beers, W.C.M., 2013. "Monotonicity-preserving bootstrapped kriging metamodels for expensive simulations," Other publications TiSEM 6b0d8c68-19f5-485b-b3e2-9, Tilburg University, School of Economics and Management.
    39. 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.
    40. 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.
    41. 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.
    42. 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.
    43. 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.
    44. 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.
    45. 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.
    46. 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.
    47. 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.
    48. Tommaso Ciarli, 2012. "Structural Interactions and Long Run Growth. An Application of Experimental Design to Agent Based Models," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 295-345.
    49. 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.
    50. Shi Pu & Alfredo Garcia, 2018. "A Flocking-Based Approach for Distributed Stochastic Optimization," Operations Research, INFORMS, vol. 66(1), pages 267-281, January.
    51. 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.
    52. 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.
    53. 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.
    54. 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.
    55. 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.
    56. 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.
    57. 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.
    58. 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).
    59. Kleijnen, J.P.C., 2009. "Sensitivity Analysis of Simulation Models," Other publications TiSEM 2016cf94-0329-4aa0-a4ea-4, Tilburg University, School of Economics and Management.
    60. 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).
    61. 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.
    62. James Risk & Michael Ludkovski, 2015. "Statistical Emulators for Pricing and Hedging Longevity Risk Products," Papers 1508.00310, arXiv.org, revised Sep 2015.
    63. 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.
    64. 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.
    65. 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.
    66. 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.
    67. 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.
    68. 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.
    69. 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.
    70. Penkuhn, Mathias & Tsatsaronis, George, 2020. "Systematic evaluation of efficiency improvement options for sCO2 Brayton cycles," Energy, Elsevier, vol. 210(C).
    71. Poropudas, Jirka & Virtanen, Kai, 2011. "Simulation metamodeling with dynamic Bayesian networks," European Journal of Operational Research, Elsevier, vol. 214(3), pages 644-655, November.
    72. 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.
    73. 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.
    74. 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.
    75. 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.
    76. 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.
    77. 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.
    78. 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.
    79. 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.
    80. 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.
    81. 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.
    82. 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.
    83. Michael Ludkovski, 2015. "Kriging Metamodels and Experimental Design for Bermudan Option Pricing," Papers 1509.02179, arXiv.org, revised Oct 2016.
    84. 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.
    85. 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.
    86. 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.
    87. 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.
    88. 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.
    89. 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.
    90. 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.
    91. 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.
    92. 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.

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