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Mario Vanhoucke

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. V. Van Peteghem & M. Vanhoucke, 2011. "An Experimental Investigation of Metaheuristics for the Multi-Mode Resource-Constrained Project Scheduling Problem on New Dataset Instances," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/758, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Ben Issa, Samer & Patterson, Raymond A. & Tu, Yiliu, 2021. "Solving resource-constrained multi-project environment under different activity assumptions," International Journal of Production Economics, Elsevier, vol. 232(C).
    2. Hartmann, Sönke & Briskorn, Dirk, 2022. "An updated survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 297(1), pages 1-14.
    3. Janusz Kulejewski & Jerzy Rosłon, 2023. "Optimization of Ecological and Economic Aspects of the Construction Schedule with the Use of Metaheuristic Algorithms and Artificial Intelligence," Sustainability, MDPI, vol. 15(1), pages 1-26, January.
    4. Kosztyán, Zsolt T. & Jakab, Róbert & Novák, Gergely & Hegedűs, Csaba, 2020. "Survive IT! Survival analysis of IT project planning approaches," Operations Research Perspectives, Elsevier, vol. 7(C).
    5. Behrad Barghi & Shahram Shadrokh Sikari, 2022. "Meta-heuristic Solution with Considering Setup Time for Multi-Skilled Project Scheduling Problem," SN Operations Research Forum, Springer, vol. 3(1), pages 1-23, March.
    6. Claudio Szwarcfiter & Yale T. Herer & Avraham Shtub, 2022. "Project scheduling in a lean environment to maximize value and minimize overruns," Journal of Scheduling, Springer, vol. 25(2), pages 177-190, April.
    7. Alfredo S. Ramos & Pablo A. Miranda-Gonzalez & Samuel Nucamendi-Guillén & Elias Olivares-Benitez, 2023. "A Formulation for the Stochastic Multi-Mode Resource-Constrained Project Scheduling Problem Solved with a Multi-Start Iterated Local Search Metaheuristic," Mathematics, MDPI, vol. 11(2), pages 1-25, January.
    8. Luis F. Machado-Domínguez & Carlos D. Paternina-Arboleda & Jorge I. Vélez & Agustin Barrios-Sarmiento, 2021. "A memetic algorithm to address the multi-node resource-constrained project scheduling problem," Journal of Scheduling, Springer, vol. 24(4), pages 413-429, August.
    9. Luis F. Machado-Domínguez & Carlos D. Paternina-Arboleda & Jorge I. Vélez & Agustín Barrios-Sarmiento, 2022. "An adaptative bacterial foraging optimization algorithm for solving the MRCPSP with discounted cash flows," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(2), pages 221-248, July.
    10. Lei Lei & Michael Pinedo & Lian Qi & Shengbin Wang & Jian Yang, 2015. "Personnel scheduling and supplies provisioning in emergency relief operations," Annals of Operations Research, Springer, vol. 235(1), pages 487-515, December.
    11. Kellenbrink, Carolin & Helber, Stefan, 2015. "Scheduling resource-constrained projects with a flexible project structure," European Journal of Operational Research, Elsevier, vol. 246(2), pages 379-391.
    12. Tritschler, Martin & Naber, Anulark & Kolisch, Rainer, 2017. "A hybrid metaheuristic for resource-constrained project scheduling with flexible resource profiles," European Journal of Operational Research, Elsevier, vol. 262(1), pages 262-273.
    13. Ripon K. Chakrabortty & Ruhul A. Sarker & Daryl L. Essam, 2020. "Single mode resource constrained project scheduling with unreliable resources," Operational Research, Springer, vol. 20(3), pages 1369-1403, September.
    14. Alireza Etminaniesfahani & Hanyu Gu & Leila Moslemi Naeni & Amir Salehipour, 2024. "An efficient relax-and-solve method for the multi-mode resource constrained project scheduling problem," Annals of Operations Research, Springer, vol. 338(1), pages 41-68, July.
    15. Vanhoucke, Mario & Coelho, José, 2016. "An approach using SAT solvers for the RCPSP with logical constraints," European Journal of Operational Research, Elsevier, vol. 249(2), pages 577-591.
    16. Zsolt T. Kosztyán & Eszter Bogdány & István Szalkai & Marcell T. Kurbucz, 2022. "Impacts of synergies on software project scheduling," Annals of Operations Research, Springer, vol. 312(2), pages 883-908, May.
    17. Martin Josef Geiger & Sandra Huber & Sebastian Langton & Marius Leschik & Christian Lindorf & Ulrich Tüshaus, 2018. "Multi-attribute assignment of trains to departures in rolling stock management," Annals of Operations Research, Springer, vol. 271(2), pages 1131-1163, December.
    18. Xue Li & Zhengwen He & Nengmin Wang & Mario Vanhoucke, 2022. "Multimode time-cost-robustness trade-off project scheduling problem under uncertainty," Journal of Combinatorial Optimization, Springer, vol. 43(5), pages 1173-1202, July.
    19. Beşikci, Umut & Bilge, Ümit & Ulusoy, Gündüz, 2015. "Multi-mode resource constrained multi-project scheduling and resource portfolio problem," European Journal of Operational Research, Elsevier, vol. 240(1), pages 22-31.
    20. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2021. "Using Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 288(3), pages 736-752.
    21. Felix Hübner & Patrick Gerhards & Christian Stürck & Rebekka Volk, 2021. "Solving the nuclear dismantling project scheduling problem by combining mixed-integer and constraint programming techniques and metaheuristics," Journal of Scheduling, Springer, vol. 24(3), pages 269-290, June.
    22. Zsolt T. Kosztyán & István Szalkai, 2020. "Multimode resource-constrained project scheduling in flexible projects," Journal of Global Optimization, Springer, vol. 76(1), pages 211-241, January.
    23. Geiger, Martin Josef, 2017. "A multi-threaded local search algorithm and computer implementation for the multi-mode, resource-constrained multi-project scheduling problem," European Journal of Operational Research, Elsevier, vol. 256(3), pages 729-741.
    24. Patrick Gerhards, 2020. "The multi-mode resource investment problem: a benchmark library and a computational study of lower and upper bounds," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(4), pages 901-933, December.
    25. Wei He & Wenjing Li & Wei Wang, 2021. "Developing a Resource Allocation Approach for Resource-Constrained Construction Operation under Multi-Objective Operation," Sustainability, MDPI, vol. 13(13), pages 1-22, June.
    26. Mohammad Rostami & Morteza Bagherpour, 2020. "A lagrangian relaxation algorithm for facility location of resource-constrained decentralized multi-project scheduling problems," Operational Research, Springer, vol. 20(2), pages 857-897, June.
    27. Paraskevopoulos, Dimitris C. & Laporte, Gilbert & Repoussis, Panagiotis P. & Tarantilis, Christos D., 2017. "Resource constrained routing and scheduling: Review and research prospects," European Journal of Operational Research, Elsevier, vol. 263(3), pages 737-754.
    28. Kosztyán, Zsolt T. & Szalkai, István, 2018. "Hybrid time-quality-cost trade-off problems," Operations Research Perspectives, Elsevier, vol. 5(C), pages 306-318.

  2. V. Van Peteghem & M. Vanhoucke, 2011. "An Artificial Immune System Algorithm for the Resource Availability Cost Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/757, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Masoud Arjmand & Amir Abbas Najafi & Majid Ebrahimzadeh, 2020. "Evolutionary algorithms for multi-objective stochastic resource availability cost problem," OPSEARCH, Springer;Operational Research Society of India, vol. 57(3), pages 935-985, September.

  3. V. Sels & K. Craeymeersch & M. Vanhoucke, 2010. "A hybrid single and dual population search procedure for the job shop scheduling problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 10/679, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Zhang, Rui & Song, Shiji & Wu, Cheng, 2013. "A hybrid artificial bee colony algorithm for the job shop scheduling problem," International Journal of Production Economics, Elsevier, vol. 141(1), pages 167-178.
    2. Zhang, Rui & Chang, Pei-Chann & Wu, Cheng, 2013. "A hybrid genetic algorithm for the job shop scheduling problem with practical considerations for manufacturing costs: Investigations motivated by vehicle production," International Journal of Production Economics, Elsevier, vol. 145(1), pages 38-52.
    3. González, Miguel A. & Vela, Camino R. & Varela, Ramiro, 2015. "Scatter search with path relinking for the flexible job shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 245(1), pages 35-45.
    4. Chong Peng & Guanglin Wu & T Warren Liao & Hedong Wang, 2019. "Research on multi-agent genetic algorithm based on tabu search for the job shop scheduling problem," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-19, September.

  4. V. Sels & F. Steen & M. Vanhoucke, 2010. "A hybrid job shop procedure for a Belgian manufacturing company producing industrial wheels and castors in rubber," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 10/678, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Sels, Veronique & Craeymeersch, Kjeld & Vanhoucke, Mario, 2011. "A hybrid single and dual population search procedure for the job shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 215(3), pages 512-523, December.

  5. V. Van Peteghem & M. Vanhoucke, 2009. "Using Resource Scarceness Characteristics to Solve the Multi-Mode Resource-Constrained Project Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/595, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Nima Zoraghi & Aria Shahsavar & Babak Abbasi & Vincent Peteghem, 2017. "Multi-mode resource-constrained project scheduling problem with material ordering under bonus–penalty policies," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(1), pages 49-79, April.
    2. V. Van Peteghem & M. Vanhoucke, 2011. "An Experimental Investigation of Metaheuristics for the Multi-Mode Resource-Constrained Project Scheduling Problem on New Dataset Instances," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/758, Ghent University, Faculty of Economics and Business Administration.

  6. J. Coelho & M. Vanhoucke, 2009. "Multi-mode resource constrained pro ject scheduling using RCPSP and SAT solvers," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/614, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Hartmann, Sönke & Briskorn, Dirk, 2022. "An updated survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 297(1), pages 1-14.
    2. Ilkyeong Moon & Sanghyup Lee & Moonsoo Shin & Kwangyeol Ryu, 2016. "Evolutionary resource assignment for workload-based production scheduling," Journal of Intelligent Manufacturing, Springer, vol. 27(2), pages 375-388, April.
    3. Gutjahr, Walter J., 2015. "Bi-Objective Multi-Mode Project Scheduling Under Risk Aversion," European Journal of Operational Research, Elsevier, vol. 246(2), pages 421-434.
    4. Angione, Claudio & Occhipinti, Annalisa & Stracquadanio, Giovanni & Nicosia, Giuseppe, 2013. "Bose–Einstein condensation in satisfiability problems," European Journal of Operational Research, Elsevier, vol. 227(1), pages 44-54.
    5. Nima Zoraghi & Aria Shahsavar & Babak Abbasi & Vincent Peteghem, 2017. "Multi-mode resource-constrained project scheduling problem with material ordering under bonus–penalty policies," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(1), pages 49-79, April.
    6. Messelis, Tommy & De Causmaecker, Patrick, 2014. "An automatic algorithm selection approach for the multi-mode resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 233(3), pages 511-528.
    7. Luis F. Machado-Domínguez & Carlos D. Paternina-Arboleda & Jorge I. Vélez & Agustin Barrios-Sarmiento, 2021. "A memetic algorithm to address the multi-node resource-constrained project scheduling problem," Journal of Scheduling, Springer, vol. 24(4), pages 413-429, August.
    8. Guillermo Campos Ciro & Frédéric Dugardin & Farouk Yalaoui & Russell Kelly, 2016. "Open shop scheduling problem with a multi-skills resource constraint: a genetic algorithm and an ant colony optimisation approach," International Journal of Production Research, Taylor & Francis Journals, vol. 54(16), pages 4854-4881, August.
    9. Bruno Vieira & Derya Demirtas & Jeroen B. Kamer & Erwin W. Hans & Louis-Martin Rousseau & Nadia Lahrichi & Wim H. Harten, 2020. "Radiotherapy treatment scheduling considering time window preferences," Health Care Management Science, Springer, vol. 23(4), pages 520-534, December.
    10. V. Van Peteghem & M. Vanhoucke, 2011. "An Experimental Investigation of Metaheuristics for the Multi-Mode Resource-Constrained Project Scheduling Problem on New Dataset Instances," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/758, Ghent University, Faculty of Economics and Business Administration.
    11. Alireza Etminaniesfahani & Hanyu Gu & Leila Moslemi Naeni & Amir Salehipour, 2024. "An efficient relax-and-solve method for the multi-mode resource constrained project scheduling problem," Annals of Operations Research, Springer, vol. 338(1), pages 41-68, July.
    12. Vanhoucke, Mario & Coelho, José, 2016. "An approach using SAT solvers for the RCPSP with logical constraints," European Journal of Operational Research, Elsevier, vol. 249(2), pages 577-591.
    13. Zamani, Reza, 2013. "A competitive magnet-based genetic algorithm for solving the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 229(2), pages 552-559.
    14. Tamara Borreguero Sanchidrián & Tom Portoleau & Christian Artigues & Alvaro García Sánchez & Miguel Ortega Mier & Pierre Lopez, 2024. "Large neighborhood search for an aeronautical assembly line time-constrained scheduling problem with multiple modes and a resource leveling objective," Annals of Operations Research, Springer, vol. 338(1), pages 13-40, July.
    15. Martin Josef Geiger & Sandra Huber & Sebastian Langton & Marius Leschik & Christian Lindorf & Ulrich Tüshaus, 2018. "Multi-attribute assignment of trains to departures in rolling stock management," Annals of Operations Research, Springer, vol. 271(2), pages 1131-1163, December.
    16. Gómez Sánchez, Mariam & Lalla-Ruiz, Eduardo & Fernández Gil, Alejandro & Castro, Carlos & Voß, Stefan, 2023. "Resource-constrained multi-project scheduling problem: A survey," European Journal of Operational Research, Elsevier, vol. 309(3), pages 958-976.
    17. Servranckx, Tom & Coelho, José & Vanhoucke, Mario, 2024. "A genetic algorithm for the Resource-Constrained Project Scheduling Problem with Alternative Subgraphs using a boolean satisfiability solver," European Journal of Operational Research, Elsevier, vol. 316(3), pages 815-827.
    18. Geiger, Martin Josef, 2017. "A multi-threaded local search algorithm and computer implementation for the multi-mode, resource-constrained multi-project scheduling problem," European Journal of Operational Research, Elsevier, vol. 256(3), pages 729-741.
    19. Zahid, Taiba & Kühn, Mathias & Völker, Michael & Schmidt, Thorsten, 2015. "Investigation of Scheduling Techniques for Uncertain Conditions," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Blecker, Thorsten & Kersten, Wolfgang & Ringle, Christian M. (ed.), Operational Excellence in Logistics and Supply Chains: Optimization Methods, Data-driven Approaches and Security Insights. Proceedings of the Hamburg , volume 22, pages 171-202, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    20. He, Naihui & Zhang, David Z. & Yuce, Baris, 2022. "Integrated multi-project planning and scheduling - a multiagent approach," European Journal of Operational Research, Elsevier, vol. 302(2), pages 688-699.

  7. V. Van Peteghem & M. Vanhoucke, 2009. "An Artificial Immune System for the Multi-Mode Resource-Constrained Project Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/555, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Behrad Barghi & Shahram Shadrokh Sikari, 2022. "Meta-heuristic Solution with Considering Setup Time for Multi-Skilled Project Scheduling Problem," SN Operations Research Forum, Springer, vol. 3(1), pages 1-23, March.
    2. Luis F. Machado-Domínguez & Carlos D. Paternina-Arboleda & Jorge I. Vélez & Agustin Barrios-Sarmiento, 2021. "A memetic algorithm to address the multi-node resource-constrained project scheduling problem," Journal of Scheduling, Springer, vol. 24(4), pages 413-429, August.
    3. Coelho, José & Vanhoucke, Mario, 2011. "Multi-mode resource-constrained project scheduling using RCPSP and SAT solvers," European Journal of Operational Research, Elsevier, vol. 213(1), pages 73-82, August.
    4. Cédric Verbeeck & Vincent Peteghem & Mario Vanhoucke & Pieter Vansteenwegen & El-Houssaine Aghezzaf, 2017. "A metaheuristic solution approach for the time-constrained project scheduling problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(2), pages 353-371, March.

  8. B. Maenhout & M. Vanhoucke, 2009. "Analyzing the Nursing Organizational Structure and Process from a Scheduling Perspective," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/587, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Komarudin & Tim De Feyter & Marie-Anne Guerry & Greet Vanden Berghe, 2020. "The extended roster quality staffing problem: addressing roster quality variation within a staffing planning period," Journal of Scheduling, Springer, vol. 23(2), pages 253-264, April.
    2. Sutton, Claire & Prowse, Julie & McVey, Lynn & Elshehaly, Mai & Neagu, Daniel & Montague, Jane & Alvarado, Natasha & Tissiman, Chris & O'Connell, Kate & Eyers, Emma & Faisal, Muhammad & Randell, Rebec, 2023. "Strategic workforce planning in health and social care – an international perspective: A scoping review," Health Policy, Elsevier, vol. 132(C).
    3. Ichsan Rizany & Rr. Tutik Sri Hariyati & Efy Afifah & Rusdiyansyah, 2019. "The Impact of Nurse Scheduling Management on Nurses’ Job Satisfaction in Army Hospital: A Cross-Sectional Research," SAGE Open, , vol. 9(2), pages 21582440198, June.

  9. B. Maenhout & M. Vanhoucke, 2008. "The Impact of Incorporating Nurse-Specific Characteristics in a Cyclical Scheduling Approach," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/496, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Wolbeck, Lena Antonia, 2019. "Fairness aspects in personnel scheduling," Discussion Papers 2019/16, Free University Berlin, School of Business & Economics.
    2. Tristan Becker & Maximilian Schiffer & Grit Walther, 2022. "A General Branch-and-Cut Framework for Rotating Workforce Scheduling," INFORMS Journal on Computing, INFORMS, vol. 34(3), pages 1548-1564, May.
    3. Van den Bergh, Jorne & Beliën, Jeroen & De Bruecker, Philippe & Demeulemeester, Erik & De Boeck, Liesje, 2013. "Personnel scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 226(3), pages 367-385.

  10. M. Vanhoucke, 2008. "The effect of project schedule adherence and rework on the duration forecast accuracy of earned value metrics," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/524, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Vanhoucke, Mario, 2010. "Using activity sensitivity and network topology information to monitor project time performance," Omega, Elsevier, vol. 38(5), pages 359-370, October.

  11. V. Van Peteghem & M. Vanhoucke, 2008. "A Genetic Algorithm for the Multi-Mode Resource-Constrained Project Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/494, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. V. Van Peteghem & M. Vanhoucke, 2009. "Using Resource Scarceness Characteristics to Solve the Multi-Mode Resource-Constrained Project Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/595, Ghent University, Faculty of Economics and Business Administration.
    2. Dayal Madhukar & Verma, Sanjay, 2015. "Multi-processor Exact Procedures for Regular Measures of the Multi-mode RCPSP," IIMA Working Papers WP2015-03-25, Indian Institute of Management Ahmedabad, Research and Publication Department.
    3. Dayal Madhukar & Verma, Sanjay, 2014. "Breadth-first and Best-first Exact Procedures for Regular Measures of the Multi-mode RCPSP," IIMA Working Papers WP2014-10-04, Indian Institute of Management Ahmedabad, Research and Publication Department.

  12. B. Maenhout & M. Vanhoucke, 2008. "Branching Strategies in a Branch-and-Price Approach for a Multiple Objective Nurse Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/495, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Sophie Veldhoven & Gerhard Post & Egbert Veen & Tim Curtois, 2016. "An assessment of a days off decomposition approach to personnel shift scheduling," Annals of Operations Research, Springer, vol. 239(1), pages 207-223, April.
    2. Jonas Ingels & Broos Maenhout, 2017. "Employee substitutability as a tool to improve the robustness in personnel scheduling," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(3), pages 623-658, July.
    3. Maenhout, Broos & Vanhoucke, Mario, 2013. "Reconstructing nurse schedules: Computational insights in the problem size parameters," Omega, Elsevier, vol. 41(5), pages 903-918.
    4. Frederik Knust & Lin Xie, 2019. "Simulated annealing approach to nurse rostering benchmark and real-world instances," Annals of Operations Research, Springer, vol. 272(1), pages 187-216, January.
    5. Maenhout, Broos & Vanhoucke, Mario, 2013. "An integrated nurse staffing and scheduling analysis for longer-term nursing staff allocation problems," Omega, Elsevier, vol. 41(2), pages 485-499.
    6. Dohn, Anders & Mason, Andrew, 2013. "Branch-and-price for staff rostering: An efficient implementation using generic programming and nested column generation," European Journal of Operational Research, Elsevier, vol. 230(1), pages 157-169.
    7. B. Maenhout & M. Vanhoucke, 2008. "The Impact of Incorporating Nurse-Specific Characteristics in a Cyclical Scheduling Approach," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/496, Ghent University, Faculty of Economics and Business Administration.
    8. Alejandro Cataldo & Juan-Carlos Ferrer & Jaime Miranda & Pablo A. Rey & Antoine Sauré, 2017. "An integer programming approach to curriculum-based examination timetabling," Annals of Operations Research, Springer, vol. 258(2), pages 369-393, November.
    9. B. Maenhout & M. Vanhoucke, 2009. "Analyzing the Nursing Organizational Structure and Process from a Scheduling Perspective," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/587, Ghent University, Faculty of Economics and Business Administration.

  13. B. Maenhout & M. Vanhoucke, 2008. "Automatic Personalized Crew Rostering at Brussels Airlines," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/525, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Maenhout, Broos & Vanhoucke, Mario, 2010. "A hybrid scatter search heuristic for personalized crew rostering in the airline industry," European Journal of Operational Research, Elsevier, vol. 206(1), pages 155-167, October.

  14. B. Maenhout & M. Vanhoucke, 2007. "A Hybrid Scatter Search Heuristic for Personalized Crew Rostering in the Airline Industry," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/454, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Quesnel, Frédéric & Desaulniers, Guy & Soumis, François, 2020. "A branch-and-price heuristic for the crew pairing problem with language constraints," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1040-1054.
    2. Mangesh Gharote & Rahul Patil & Sachin Lodha, 2017. "Scatter search for trainees to software project requirements stable allocation," Journal of Heuristics, Springer, vol. 23(4), pages 257-283, August.
    3. Van den Bergh, Jorne & Beliën, Jeroen & De Bruecker, Philippe & Demeulemeester, Erik & De Boeck, Liesje, 2013. "Personnel scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 226(3), pages 367-385.
    4. Nishi, Tatsushi & Sugiyama, Taichi & Inuiguchi, Masahiro, 2014. "Two-level decomposition algorithm for crew rostering problems with fair working condition," European Journal of Operational Research, Elsevier, vol. 237(2), pages 465-473.
    5. De Bruecker, Philippe & Van den Bergh, Jorne & Beliën, Jeroen & Demeulemeester, Erik, 2015. "Workforce planning incorporating skills: State of the art," European Journal of Operational Research, Elsevier, vol. 243(1), pages 1-16.
    6. Breugem, T. & Dollevoet, T.A.B. & Huisman, D., 2017. "Is Equality always desirable?," Econometric Institute Research Papers EI2017-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Stefaan Haspeslagh & Patrick De Causmaecker & Andrea Schaerf & Martin Stølevik, 2014. "The first international nurse rostering competition 2010," Annals of Operations Research, Springer, vol. 218(1), pages 221-236, July.
    8. Doi, Tsubasa & Nishi, Tatsushi & Voß, Stefan, 2018. "Two-level decomposition-based matheuristic for airline crew rostering problems with fair working time," European Journal of Operational Research, Elsevier, vol. 267(2), pages 428-438.
    9. van Rossum, B.T.C. & Dollevoet, T. & Huisman, D., 2024. "Railway crew planning with fairness over time," European Journal of Operational Research, Elsevier, vol. 318(1), pages 55-70.
    10. Vahid Zeighami & François Soumis, 2019. "Combining Benders’ Decomposition and Column Generation for Integrated Crew Pairing and Personalized Crew Assignment Problems," Transportation Science, INFORMS, vol. 53(5), pages 1479-1499, September.
    11. Lin, Shih-Wei & Ying, Kuo-Ching, 2014. "Minimizing shifts for personnel task scheduling problems: A three-phase algorithm," European Journal of Operational Research, Elsevier, vol. 237(1), pages 323-334.
    12. Jesica Armas & Luis Cadarso & Angel A. Juan & Javier Faulin, 2017. "A multi-start randomized heuristic for real-life crew rostering problems in airlines with work-balancing goals," Annals of Operations Research, Springer, vol. 258(2), pages 825-848, November.
    13. Fuentes, Manuel & Cadarso, Luis & Marín, Ángel, 2019. "A hybrid model for crew scheduling in rail rapid transit networks," Transportation Research Part B: Methodological, Elsevier, vol. 125(C), pages 248-265.
    14. Mesquita, Marta & Moz, Margarida & Paias, Ana & Pato, Margarida, 2015. "A decompose-and-fix heuristic based on multi-commodity flow models for driver rostering with days-off pattern," European Journal of Operational Research, Elsevier, vol. 245(2), pages 423-437.
    15. Thomas Breugem & Twan Dollevoet & Dennis Huisman, 2022. "Is Equality Always Desirable? Analyzing the Trade-Off Between Fairness and Attractiveness in Crew Rostering," Management Science, INFORMS, vol. 68(4), pages 2619-2641, April.
    16. Julien Maheut & Jose P. Garcia-Sabater & Julio J. Garcia-Sabater & Sofia Garcia-Manglano, 2024. "Solving the multisite staff planning and scheduling problem in a sheltered employment centre that employs workers with intellectual disabilities by MILP: a Spanish case study," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 32(3), pages 569-591, September.
    17. Atoosa Kasirzadeh & Mohammed Saddoune & François Soumis, 2017. "Airline crew scheduling: models, algorithms, and data sets," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 6(2), pages 111-137, June.
    18. Hoong Chuin Lau & Zhi Yuan & Aldy Gunawan, 2016. "Patrol scheduling in urban rail network," Annals of Operations Research, Springer, vol. 239(1), pages 317-342, April.

  15. M. Vanhoucke, 2007. "An electromagnetic time/cost trade-off optimization in project scheduling," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/457, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Godinho, Pedro & Branco, Fernando G., 2012. "Adaptive policies for multi-mode project scheduling under uncertainty," European Journal of Operational Research, Elsevier, vol. 216(3), pages 553-562.

  16. M. Vanhoucke, 2006. "An efficient hybrid search algorithm for various optimization problems," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/365, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Peymankar, Mahboobeh & Davari, Morteza & Ranjbar, Mohammad, 2021. "Maximizing the expected net present value in a project with uncertain cash flows," European Journal of Operational Research, Elsevier, vol. 294(2), pages 442-452.

  17. B. Maenhout & M. Vanhoucke, 2006. "A Comparison and Hybridization of Crossover Operators for the Nurse Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/366, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Van den Bergh, Jorne & Beliën, Jeroen & De Bruecker, Philippe & Demeulemeester, Erik & De Boeck, Liesje, 2013. "Personnel scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 226(3), pages 367-385.
    2. Burak Bilgin & Patrick Causmaecker & Benoît Rossie & Greet Vanden Berghe, 2012. "Local search neighbourhoods for dealing with a novel nurse rostering model," Annals of Operations Research, Springer, vol. 194(1), pages 33-57, April.
    3. Ademir Constantino & Dario Landa-Silva & Everton Melo & Candido Mendonça & Douglas Rizzato & Wesley Romão, 2014. "A heuristic algorithm based on multi-assignment procedures for nurse scheduling," Annals of Operations Research, Springer, vol. 218(1), pages 165-183, July.
    4. Pieter Smet & Burak Bilgin & Patrick De Causmaecker & Greet Vanden Berghe, 2014. "Modelling and evaluation issues in nurse rostering," Annals of Operations Research, Springer, vol. 218(1), pages 303-326, July.
    5. Vanhoucke, Mario & Maenhout, Broos, 2009. "On the characterization and generation of nurse scheduling problem instances," European Journal of Operational Research, Elsevier, vol. 196(2), pages 457-467, July.
    6. Li, Gang & Jiang, Hongxun & He, Tian, 2015. "A genetic algorithm-based decomposition approach to solve an integrated equipment-workforce-service planning problem," Omega, Elsevier, vol. 50(C), pages 1-17.
    7. Peyman Kiani Nahand & Mahdi Hamid & Mahdi Bastan & Ali Mollajan, 2019. "Human resource management: new approach to nurse scheduling by considering human error," 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. 10(6), pages 1429-1443, December.
    8. B. Maenhout & M. Vanhoucke, 2008. "The Impact of Incorporating Nurse-Specific Characteristics in a Cyclical Scheduling Approach," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/496, Ghent University, Faculty of Economics and Business Administration.
    9. Tom Rihm & Philipp Baumann, 2018. "Staff assignment with lexicographically ordered acceptance levels," Journal of Scheduling, Springer, vol. 21(2), pages 167-189, April.

  18. D. Debels & M. Vanhoucke, 2006. "The impact of various activity assumptions on the lead-time and resource utilization of resource-constrained projects," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/385, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Wendi Tian & Erik Demeulemeester, 2014. "Railway scheduling reduces the expected project makespan over roadrunner scheduling in a multi-mode project scheduling environment," Annals of Operations Research, Springer, vol. 213(1), pages 271-291, February.
    2. Debels, D. & Vanhoucke, M., 2006. "Pre-emptive resource-constrained project scheduling with setup times," Vlerick Leuven Gent Management School Working Paper Series 2006-19, Vlerick Leuven Gent Management School.
    3. Weglarz, Jan & Józefowska, Joanna & Mika, Marek & Waligóra, Grzegorz, 2011. "Project scheduling with finite or infinite number of activity processing modes - A survey," European Journal of Operational Research, Elsevier, vol. 208(3), pages 177-205, February.
    4. Martens, Annelies & Vanhoucke, Mario, 2019. "The impact of applying effort to reduce activity variability on the project time and cost performance," European Journal of Operational Research, Elsevier, vol. 277(2), pages 442-453.
    5. Hartmann, Sönke & Briskorn, Dirk, 2008. "A survey of variants and extensions of the resource-constrained project scheduling problem," Working Paper Series 02/2008, Hamburg School of Business Administration (HSBA).
    6. Hartmann, Sönke & Briskorn, Dirk, 2010. "A survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 207(1), pages 1-14, November.
    7. Peteghem, Vincent Van & Vanhoucke, Mario, 2010. "A genetic algorithm for the preemptive and non-preemptive multi-mode resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 201(2), pages 409-418, March.
    8. Aidin Delgoshaei & Timon Rabczuk & Ahad Ali & Mohd Khairol Anuar Ariffin, 2017. "An applicable method for modifying over-allocated multi-mode resource constraint schedules in the presence of preemptive resources," Annals of Operations Research, Springer, vol. 259(1), pages 85-117, December.

  19. M. Vanhoucke, 2006. "A scatter search procedure for maximizing the net present value of a project under renewable resource constraints," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/417, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. M. Vanhoucke, 2007. "A genetic algorithm to investigate the trade-off between project lead time and net present value," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/456, Ghent University, Faculty of Economics and Business Administration.

  20. M. Vanhoucke & D. Debels, 2005. "The Discrete Time/Cost Trade-Off Problem Under Various Assumptions Exact And Heuristic Procedures," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/314, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. W. Bruggeman & P. Everaert & S. R. Anderson & Y. Levant, 2005. "Modeling Logistics Costs using Time-Driven ABC: A Case in a Distribution Company," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/332, Ghent University, Faculty of Economics and Business Administration.
    2. Bert Weijters & Maggie Geuens, 2002. "Evaluation of age-related labels by senior citizens," Vlerick Leuven Gent Management School Working Paper Series 2002-22, Vlerick Leuven Gent Management School.
    3. M. Vanhoucke & S. Vandevoorde, 2005. "A simulation and evaluation of earned value metrics to forecast the project duration," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/317, Ghent University, Faculty of Economics and Business Administration.
    4. S. Steenhaut & P. Van Kenhove, 2005. "An Empirical Investigation of the Relationships among a Consumer’s Personal Values, Ethical Ideology and Ethical Beliefs," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/321, Ghent University, Faculty of Economics and Business Administration.
    5. M. Vanhoucke & B. Maenhout, 2005. "Characterisation and Generation of Nurse Scheduling Problem Instances," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/339, Ghent University, Faculty of Economics and Business Administration.
    6. Jan Lepoutre & Nikolay Dentchev & Aimé Heene, 2007. "Dealing With Uncertainties When Governing CSR Policies," Journal of Business Ethics, Springer, vol. 73(4), pages 391-408, July.
    7. Ooghe, H. & Spaenjers, C. & Pieter vandermoere, 2005. "Business failure prediction: simple-intuitive models versus statistical models," Vlerick Leuven Gent Management School Working Paper Series 2005-22, Vlerick Leuven Gent Management School.
    8. M. Buelens & D. Bouckenooghe & D. De Clercq & A. Willem, 2005. "An Assessment of Validity in Small Business and Entrepreneurship Research," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/328, Ghent University, Faculty of Economics and Business Administration.
    9. D. Vantomme & M. Geuens & S. Dewitte, 2005. "How to Portray Men and Women in Advertisements? Explicit and Implicit Evaluations of Ads Depicting Different Gender Roles," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/319, Ghent University, Faculty of Economics and Business Administration.
    10. Maenhout, B. & Vanhoucke, M., 2006. "New computational results for the nurse scheduling problem: A scatter search algorithm," Vlerick Leuven Gent Management School Working Paper Series 2006-06, Vlerick Leuven Gent Management School.
    11. M. Knockaert & A. Lockett & B. Clarysse & M. Wright, 2005. "Do human capital and fund characteristics drive follow-up behaviour of early stage high tech VCs?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/325, Ghent University, Faculty of Economics and Business Administration.
    12. J. Albrecht & M. Neyt & T. Verbeke, 2005. "Bureaucratisation and the growth of health care expenditures in Europe," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/335, Ghent University, Faculty of Economics and Business Administration.
    13. B. Maenhout & M. Vanhoucke, 2005. "An Electromagnetic Meta-Heuristic for the Nurse Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/316, Ghent University, Faculty of Economics and Business Administration.
    14. L. Pozzi, 2005. "Income Uncertainty and Aggregate Consumption," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/334, Ghent University, Faculty of Economics and Business Administration.
    15. G. Poels & F. Gailly & A. Maes & R. Paemeleire, 2005. "Object Class or Association Class? Testing the User Effect on Cardinality Interpretation," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/323, Ghent University, Faculty of Economics and Business Administration.
    16. Dossche, Maarten & Everaert, Gerdie, 2005. "Measuring inflation persistence: a structural time series approach," Working Paper Series 495, European Central Bank.
    17. I. Vermeir & M. Geuens, 2005. "Need for Closure and Youngsters’ Leisure Time Preferences," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/318, Ghent University, Faculty of Economics and Business Administration.
    18. V. Vansteeger, 2005. "The current state of accounting harmonization: impediments to and benefits from harmonization," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/322, Ghent University, Faculty of Economics and Business Administration.
    19. P. Windels & J. Christiaens, 2005. "Management Reform in Flemish Local Authorities: Testing the Institutional Framework," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/331, Ghent University, Faculty of Economics and Business Administration.
    20. H. De Witte & E. Verhofstadt & E. Omey, 2005. "Testing Karasek’s learning- and strain hypothesis on young workers in their first job," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/326, Ghent University, Faculty of Economics and Business Administration.
    21. A. Karas & K. Schoors, 2005. "Heracles or Sisyphus? Finding, cleaning and reconstructing a database of Russian banks," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/327, Ghent University, Faculty of Economics and Business Administration.
    22. N. Geeroms & P. Van Kenhove & W. Verbeke, 2005. "Health Advertising to promote Fruit and Vegetable Intake: Application of need-related Health Audience Segmentation," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/336, Ghent University, Faculty of Economics and Business Administration.
    23. W. Buckinx & G. Verstraeten & D. Van Den Poel, 2005. "Predicting Customer Loyalty Using The Internal Transactional Database," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/324, Ghent University, Faculty of Economics and Business Administration.
    24. W. Buckinx & D. Van Den Poel, 2005. "Assessing and exploiting the profit function by modeling the net impact of targeted marketing," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/330, Ghent University, Faculty of Economics and Business Administration.
    25. E. Labro & M. Vanhoucke, 2005. "A simulation analysis of interactions between errors in costing system design," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/333, Ghent University, Faculty of Economics and Business Administration.

  21. D. Debels & M. Vanhoucke, 2005. "A Bi-Population Based Genetic Algorithm for the Resource-Constrained Project Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/294, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Edgar Gutiérrez Franco & Fernando La Torre Zurita & Gonzalo Mejía Delgadillo, 2007. "A genetic algorithm for the resource constrained project scheduling problem (RCPSP)," Investigación & Desarrollo, Universidad Privada Boliviana, vol. 1(1), pages 41-52.
    2. V. Van Peteghem & M. Vanhoucke, 2009. "An Artificial Immune System for the Multi-Mode Resource-Constrained Project Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/555, Ghent University, Faculty of Economics and Business Administration.
    3. Peteghem, Vincent Van & Vanhoucke, Mario, 2010. "A genetic algorithm for the preemptive and non-preemptive multi-mode resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 201(2), pages 409-418, March.
    4. V. Van Peteghem & M. Vanhoucke, 2008. "A Genetic Algorithm for the Multi-Mode Resource-Constrained Project Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/494, Ghent University, Faculty of Economics and Business Administration.

  22. B. Maenhout & M. Vanhoucke, 2005. "New Computational Results for the Nurse Scheduling Problem: A Scatter Search Algorithm," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/341, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Sanja Petrovic & Greet Berghe, 2012. "A comparison of two approaches to nurse rostering problems," Annals of Operations Research, Springer, vol. 194(1), pages 365-384, April.
    2. Broos Maenhout & Mario Vanhoucke, 2008. "Comparison and hybridization of crossover operators for the nurse scheduling problem," Annals of Operations Research, Springer, vol. 159(1), pages 333-353, March.
    3. Ademir Constantino & Dario Landa-Silva & Everton Melo & Candido Mendonça & Douglas Rizzato & Wesley Romão, 2014. "A heuristic algorithm based on multi-assignment procedures for nurse scheduling," Annals of Operations Research, Springer, vol. 218(1), pages 165-183, July.
    4. Vanhoucke, Mario & Maenhout, Broos, 2009. "On the characterization and generation of nurse scheduling problem instances," European Journal of Operational Research, Elsevier, vol. 196(2), pages 457-467, July.
    5. B. Maenhout & M. Vanhoucke, 2008. "The Impact of Incorporating Nurse-Specific Characteristics in a Cyclical Scheduling Approach," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/496, Ghent University, Faculty of Economics and Business Administration.

  23. D. Debels & M. Vanhoucke, 2005. "A Decomposition-Based Heuristic For The Resource-Constrained Project Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/293, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Gonzalo Muñoz & Daniel Espinoza & Marcos Goycoolea & Eduardo Moreno & Maurice Queyranne & Orlando Rivera Letelier, 2018. "A study of the Bienstock–Zuckerberg algorithm: applications in mining and resource constrained project scheduling," Computational Optimization and Applications, Springer, vol. 69(2), pages 501-534, March.
    2. M. Vanhoucke, 2007. "A genetic algorithm to investigate the trade-off between project lead time and net present value," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/456, Ghent University, Faculty of Economics and Business Administration.
    3. Horbach, Andrei, 2009. "A boolean satisfiability approach to the resource-constrained project scheduling problem," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 644, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    4. Coelho, José & Vanhoucke, Mario, 2011. "Multi-mode resource-constrained project scheduling using RCPSP and SAT solvers," European Journal of Operational Research, Elsevier, vol. 213(1), pages 73-82, August.
    5. Lei Lei & Michael Pinedo & Lian Qi & Shengbin Wang & Jian Yang, 2015. "Personnel scheduling and supplies provisioning in emergency relief operations," Annals of Operations Research, Springer, vol. 235(1), pages 487-515, December.
    6. Nadia Chaudry & Ingunn Vermedal & Kjetil Fagerholt & Maria Fleischer Fauske & Magnus Stålhane, 2020. "A decomposition solution approach to the troops-to-tasks assignment in military peacekeeping operations," The Journal of Defense Modeling and Simulation, , vol. 17(4), pages 357-371, October.
    7. Jiang, Yuanchun & Liu, Yezheng & Shang, Jennifer & Yildirim, Pinar & Zhang, Qingfu, 2018. "Optimizing online recurring promotions for dual-channel retailers: Segmented markets with multiple objectives," European Journal of Operational Research, Elsevier, vol. 267(2), pages 612-627.
    8. Vanhoucke, Mario & Coelho, José, 2016. "An approach using SAT solvers for the RCPSP with logical constraints," European Journal of Operational Research, Elsevier, vol. 249(2), pages 577-591.
    9. Zamani, Reza, 2013. "A competitive magnet-based genetic algorithm for solving the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 229(2), pages 552-559.
    10. Edgar Gutiérrez Franco & Fernando La Torre Zurita & Gonzalo Mejía Delgadillo, 2007. "A genetic algorithm for the resource constrained project scheduling problem (RCPSP)," Investigación & Desarrollo, Universidad Privada Boliviana, vol. 1(1), pages 41-52.
    11. D. Debels & M. Vanhoucke, 2006. "Meta-heuristic resource-constrained project scheduling:solution space restrictions and neighbourhood extensions," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/387, Ghent University, Faculty of Economics and Business Administration.
    12. Deblaere, Filip & Demeulemeester, Erik & Herroelen, Willy, 2011. "Proactive policies for the stochastic resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 214(2), pages 308-316, October.
    13. Peteghem, Vincent Van & Vanhoucke, Mario, 2010. "A genetic algorithm for the preemptive and non-preemptive multi-mode resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 201(2), pages 409-418, March.
    14. V. Van Peteghem & M. Vanhoucke, 2008. "A Genetic Algorithm for the Multi-Mode Resource-Constrained Project Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/494, Ghent University, Faculty of Economics and Business Administration.
    15. Xichao Su & Wei Han & Yu Wu & Yong Zhang & Jie Liu, 2018. "A Proactive Robust Scheduling Method for Aircraft Carrier Flight Deck Operations with Stochastic Durations," Complexity, Hindawi, vol. 2018, pages 1-38, November.
    16. Jürgen Kuster & Dietmar Jannach & Gerhard Friedrich, 2010. "Applying Local Rescheduling in response to schedule disruptions," Annals of Operations Research, Springer, vol. 180(1), pages 265-282, November.
    17. Hongbo Li & Erik Demeulemeester, 2016. "A genetic algorithm for the robust resource leveling problem," Journal of Scheduling, Springer, vol. 19(1), pages 43-60, February.

  24. M. Vanhoucke & B. Maenhout, 2005. "Characterisation and Generation of Nurse Scheduling Problem Instances," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/339, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Broos Maenhout & Mario Vanhoucke, 2008. "Comparison and hybridization of crossover operators for the nurse scheduling problem," Annals of Operations Research, Springer, vol. 159(1), pages 333-353, March.
    2. Vanhoucke, Mario & Maenhout, Broos, 2009. "On the characterization and generation of nurse scheduling problem instances," European Journal of Operational Research, Elsevier, vol. 196(2), pages 457-467, July.

  25. M. Vanhoucke & S. Vandevoorde, 2005. "A simulation and evaluation of earned value metrics to forecast the project duration," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/317, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. W. Bruggeman & P. Everaert & S. R. Anderson & Y. Levant, 2005. "Modeling Logistics Costs using Time-Driven ABC: A Case in a Distribution Company," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/332, Ghent University, Faculty of Economics and Business Administration.
    2. Wauters, Mathieu & Vanhoucke, Mario, 2017. "A Nearest Neighbour extension to project duration forecasting with Artificial Intelligence," European Journal of Operational Research, Elsevier, vol. 259(3), pages 1097-1111.
    3. Bert Weijters & Maggie Geuens, 2002. "Evaluation of age-related labels by senior citizens," Vlerick Leuven Gent Management School Working Paper Series 2002-22, Vlerick Leuven Gent Management School.
    4. Florin POPESCU, 2017. "Analysis Of Forecasting Methods From The Point Of View Of Early Warning Concept In Project Management," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 15, pages 331-346, December.
    5. Richard E. Wendell & Timothy J. Lowe & Mike M. Gordon, 2023. "Dangers in using earned duration and other earned value metrics to measure a project’s schedule performance," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(2), pages 665-680, June.
    6. Mohammadreza Sharifi Ghazvini & Vahidreza Ghezavati & Sadigh Raissi & Ahmad Makui, 2017. "An Integrated Efficiency–Risk Approach in Sustainable Project Control," Sustainability, MDPI, vol. 9(9), pages 1-20, September.
    7. S. Steenhaut & P. Van Kenhove, 2005. "An Empirical Investigation of the Relationships among a Consumer’s Personal Values, Ethical Ideology and Ethical Beliefs," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/321, Ghent University, Faculty of Economics and Business Administration.
    8. M. Vanhoucke & B. Maenhout, 2005. "Characterisation and Generation of Nurse Scheduling Problem Instances," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/339, Ghent University, Faculty of Economics and Business Administration.
    9. Jan Lepoutre & Nikolay Dentchev & Aimé Heene, 2007. "Dealing With Uncertainties When Governing CSR Policies," Journal of Business Ethics, Springer, vol. 73(4), pages 391-408, July.
    10. Ooghe, H. & Spaenjers, C. & Pieter vandermoere, 2005. "Business failure prediction: simple-intuitive models versus statistical models," Vlerick Leuven Gent Management School Working Paper Series 2005-22, Vlerick Leuven Gent Management School.
    11. M. Buelens & D. Bouckenooghe & D. De Clercq & A. Willem, 2005. "An Assessment of Validity in Small Business and Entrepreneurship Research," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/328, Ghent University, Faculty of Economics and Business Administration.
    12. Litsiou, Konstantia & Polychronakis, Yiannis & Karami, Azhdar & Nikolopoulos, Konstantinos, 2022. "Relative performance of judgmental methods for forecasting the success of megaprojects," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1185-1196.
    13. D. Vantomme & M. Geuens & S. Dewitte, 2005. "How to Portray Men and Women in Advertisements? Explicit and Implicit Evaluations of Ads Depicting Different Gender Roles," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/319, Ghent University, Faculty of Economics and Business Administration.
    14. Colin, Jeroen & Vanhoucke, Mario, 2014. "Setting tolerance limits for statistical project control using earned value management," Omega, Elsevier, vol. 49(C), pages 107-122.
    15. Maenhout, B. & Vanhoucke, M., 2006. "New computational results for the nurse scheduling problem: A scatter search algorithm," Vlerick Leuven Gent Management School Working Paper Series 2006-06, Vlerick Leuven Gent Management School.
    16. M. Knockaert & A. Lockett & B. Clarysse & M. Wright, 2005. "Do human capital and fund characteristics drive follow-up behaviour of early stage high tech VCs?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/325, Ghent University, Faculty of Economics and Business Administration.
    17. J. Albrecht & M. Neyt & T. Verbeke, 2005. "Bureaucratisation and the growth of health care expenditures in Europe," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/335, Ghent University, Faculty of Economics and Business Administration.
    18. B. Maenhout & M. Vanhoucke, 2005. "An Electromagnetic Meta-Heuristic for the Nurse Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/316, Ghent University, Faculty of Economics and Business Administration.
    19. Vanhoucke, Mario, 2011. "On the dynamic use of project performance and schedule risk information during projecttracking," Omega, Elsevier, vol. 39(4), pages 416-426, August.
    20. Ünsal-Altuncan, Izel & Vanhoucke, Mario, 2024. "A hybrid forecasting model to predict the duration and cost performance of projects with Bayesian Networks," European Journal of Operational Research, Elsevier, vol. 315(2), pages 511-527.
    21. L. Pozzi, 2005. "Income Uncertainty and Aggregate Consumption," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/334, Ghent University, Faculty of Economics and Business Administration.
    22. Ö Hazır & A Shtub, 2011. "Effects of the information presentation format on project control," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(12), pages 2157-2161, December.
    23. G. Poels & F. Gailly & A. Maes & R. Paemeleire, 2005. "Object Class or Association Class? Testing the User Effect on Cardinality Interpretation," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/323, Ghent University, Faculty of Economics and Business Administration.
    24. Dossche, Maarten & Everaert, Gerdie, 2005. "Measuring inflation persistence: a structural time series approach," Working Paper Series 495, European Central Bank.
    25. I. Vermeir & M. Geuens, 2005. "Need for Closure and Youngsters’ Leisure Time Preferences," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/318, Ghent University, Faculty of Economics and Business Administration.
    26. V. Vansteeger, 2005. "The current state of accounting harmonization: impediments to and benefits from harmonization," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/322, Ghent University, Faculty of Economics and Business Administration.
    27. P. Windels & J. Christiaens, 2005. "Management Reform in Flemish Local Authorities: Testing the Institutional Framework," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/331, Ghent University, Faculty of Economics and Business Administration.
    28. Vanhoucke, Mario, 2010. "Using activity sensitivity and network topology information to monitor project time performance," Omega, Elsevier, vol. 38(5), pages 359-370, October.
    29. H. De Witte & E. Verhofstadt & E. Omey, 2005. "Testing Karasek’s learning- and strain hypothesis on young workers in their first job," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/326, Ghent University, Faculty of Economics and Business Administration.
    30. A. Karas & K. Schoors, 2005. "Heracles or Sisyphus? Finding, cleaning and reconstructing a database of Russian banks," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/327, Ghent University, Faculty of Economics and Business Administration.
    31. N. Geeroms & P. Van Kenhove & W. Verbeke, 2005. "Health Advertising to promote Fruit and Vegetable Intake: Application of need-related Health Audience Segmentation," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/336, Ghent University, Faculty of Economics and Business Administration.
    32. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2020. "The impact of a limited budget on the corrective action taking process," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1070-1086.
    33. Mostafa Salari & Homayoun Khamooshi, 2016. "A better project performance prediction model using fuzzy time series and data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(10), pages 1274-1287, October.
    34. Kubečková Darja & Smugala Stanislav, 2021. "Determination of construction process duration based on labor productivity estimation: A case study," Organization, Technology and Management in Construction, Sciendo, vol. 13(2), pages 2521-2538, July.
    35. W. Buckinx & G. Verstraeten & D. Van Den Poel, 2005. "Predicting Customer Loyalty Using The Internal Transactional Database," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/324, Ghent University, Faculty of Economics and Business Administration.
    36. W. Buckinx & D. Van Den Poel, 2005. "Assessing and exploiting the profit function by modeling the net impact of targeted marketing," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/330, Ghent University, Faculty of Economics and Business Administration.
    37. E. Labro & M. Vanhoucke, 2005. "A simulation analysis of interactions between errors in costing system design," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/333, Ghent University, Faculty of Economics and Business Administration.

  26. B. Maenhout & M. Vanhoucke, 2005. "An Electromagnetic Meta-Heuristic for the Nurse Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/316, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. W. Bruggeman & P. Everaert & S. R. Anderson & Y. Levant, 2005. "Modeling Logistics Costs using Time-Driven ABC: A Case in a Distribution Company," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/332, Ghent University, Faculty of Economics and Business Administration.
    2. Bert Weijters & Maggie Geuens, 2002. "Evaluation of age-related labels by senior citizens," Vlerick Leuven Gent Management School Working Paper Series 2002-22, Vlerick Leuven Gent Management School.
    3. Naji-Azimi, Zahra & Toth, Paolo & Galli, Laura, 2010. "An electromagnetism metaheuristic for the unicost set covering problem," European Journal of Operational Research, Elsevier, vol. 205(2), pages 290-300, September.
    4. M. Vanhoucke & S. Vandevoorde, 2005. "A simulation and evaluation of earned value metrics to forecast the project duration," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/317, Ghent University, Faculty of Economics and Business Administration.
    5. S. Steenhaut & P. Van Kenhove, 2005. "An Empirical Investigation of the Relationships among a Consumer’s Personal Values, Ethical Ideology and Ethical Beliefs," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/321, Ghent University, Faculty of Economics and Business Administration.
    6. Sanja Petrovic & Greet Berghe, 2012. "A comparison of two approaches to nurse rostering problems," Annals of Operations Research, Springer, vol. 194(1), pages 365-384, April.
    7. M. Vanhoucke & B. Maenhout, 2005. "Characterisation and Generation of Nurse Scheduling Problem Instances," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/339, Ghent University, Faculty of Economics and Business Administration.
    8. Jan Lepoutre & Nikolay Dentchev & Aimé Heene, 2007. "Dealing With Uncertainties When Governing CSR Policies," Journal of Business Ethics, Springer, vol. 73(4), pages 391-408, July.
    9. Ooghe, H. & Spaenjers, C. & Pieter vandermoere, 2005. "Business failure prediction: simple-intuitive models versus statistical models," Vlerick Leuven Gent Management School Working Paper Series 2005-22, Vlerick Leuven Gent Management School.
    10. M. Buelens & D. Bouckenooghe & D. De Clercq & A. Willem, 2005. "An Assessment of Validity in Small Business and Entrepreneurship Research," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/328, Ghent University, Faculty of Economics and Business Administration.
    11. Broos Maenhout & Mario Vanhoucke, 2008. "Comparison and hybridization of crossover operators for the nurse scheduling problem," Annals of Operations Research, Springer, vol. 159(1), pages 333-353, March.
    12. D. Vantomme & M. Geuens & S. Dewitte, 2005. "How to Portray Men and Women in Advertisements? Explicit and Implicit Evaluations of Ads Depicting Different Gender Roles," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/319, Ghent University, Faculty of Economics and Business Administration.
    13. Maenhout, B. & Vanhoucke, M., 2006. "New computational results for the nurse scheduling problem: A scatter search algorithm," Vlerick Leuven Gent Management School Working Paper Series 2006-06, Vlerick Leuven Gent Management School.
    14. M. Knockaert & A. Lockett & B. Clarysse & M. Wright, 2005. "Do human capital and fund characteristics drive follow-up behaviour of early stage high tech VCs?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/325, Ghent University, Faculty of Economics and Business Administration.
    15. J. Albrecht & M. Neyt & T. Verbeke, 2005. "Bureaucratisation and the growth of health care expenditures in Europe," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/335, Ghent University, Faculty of Economics and Business Administration.
    16. Burak Bilgin & Patrick Causmaecker & Benoît Rossie & Greet Vanden Berghe, 2012. "Local search neighbourhoods for dealing with a novel nurse rostering model," Annals of Operations Research, Springer, vol. 194(1), pages 33-57, April.
    17. Maenhout, Broos & Vanhoucke, Mario, 2013. "An integrated nurse staffing and scheduling analysis for longer-term nursing staff allocation problems," Omega, Elsevier, vol. 41(2), pages 485-499.
    18. L. Pozzi, 2005. "Income Uncertainty and Aggregate Consumption," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/334, Ghent University, Faculty of Economics and Business Administration.
    19. G. Poels & F. Gailly & A. Maes & R. Paemeleire, 2005. "Object Class or Association Class? Testing the User Effect on Cardinality Interpretation," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/323, Ghent University, Faculty of Economics and Business Administration.
    20. Ademir Constantino & Dario Landa-Silva & Everton Melo & Candido Mendonça & Douglas Rizzato & Wesley Romão, 2014. "A heuristic algorithm based on multi-assignment procedures for nurse scheduling," Annals of Operations Research, Springer, vol. 218(1), pages 165-183, July.
    21. Dossche, Maarten & Everaert, Gerdie, 2005. "Measuring inflation persistence: a structural time series approach," Working Paper Series 495, European Central Bank.
    22. I. Vermeir & M. Geuens, 2005. "Need for Closure and Youngsters’ Leisure Time Preferences," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/318, Ghent University, Faculty of Economics and Business Administration.
    23. V. Vansteeger, 2005. "The current state of accounting harmonization: impediments to and benefits from harmonization," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/322, Ghent University, Faculty of Economics and Business Administration.
    24. P. Windels & J. Christiaens, 2005. "Management Reform in Flemish Local Authorities: Testing the Institutional Framework," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/331, Ghent University, Faculty of Economics and Business Administration.
    25. Federico Della Croce & Fabio Salassa, 2014. "A variable neighborhood search based matheuristic for nurse rostering problems," Annals of Operations Research, Springer, vol. 218(1), pages 185-199, July.
    26. Vanhoucke, Mario & Maenhout, Broos, 2009. "On the characterization and generation of nurse scheduling problem instances," European Journal of Operational Research, Elsevier, vol. 196(2), pages 457-467, July.
    27. H. De Witte & E. Verhofstadt & E. Omey, 2005. "Testing Karasek’s learning- and strain hypothesis on young workers in their first job," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/326, Ghent University, Faculty of Economics and Business Administration.
    28. A. Karas & K. Schoors, 2005. "Heracles or Sisyphus? Finding, cleaning and reconstructing a database of Russian banks," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/327, Ghent University, Faculty of Economics and Business Administration.
    29. N. Geeroms & P. Van Kenhove & W. Verbeke, 2005. "Health Advertising to promote Fruit and Vegetable Intake: Application of need-related Health Audience Segmentation," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/336, Ghent University, Faculty of Economics and Business Administration.
    30. B. Maenhout & M. Vanhoucke, 2008. "The Impact of Incorporating Nurse-Specific Characteristics in a Cyclical Scheduling Approach," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/496, Ghent University, Faculty of Economics and Business Administration.
    31. W. Buckinx & G. Verstraeten & D. Van Den Poel, 2005. "Predicting Customer Loyalty Using The Internal Transactional Database," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/324, Ghent University, Faculty of Economics and Business Administration.
    32. W. Buckinx & D. Van Den Poel, 2005. "Assessing and exploiting the profit function by modeling the net impact of targeted marketing," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/330, Ghent University, Faculty of Economics and Business Administration.
    33. E. Labro & M. Vanhoucke, 2005. "A simulation analysis of interactions between errors in costing system design," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/333, Ghent University, Faculty of Economics and Business Administration.

  27. S. Vandevoorde & M. Vanhoucke, 2005. "A Comparison of Different Project Duration Forecasting Methods using Earned Value Metrics," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/312, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. W. Bruggeman & P. Everaert & S. R. Anderson & Y. Levant, 2005. "Modeling Logistics Costs using Time-Driven ABC: A Case in a Distribution Company," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/332, Ghent University, Faculty of Economics and Business Administration.
    2. Bert Weijters & Maggie Geuens, 2002. "Evaluation of age-related labels by senior citizens," Vlerick Leuven Gent Management School Working Paper Series 2002-22, Vlerick Leuven Gent Management School.
    3. M. Vanhoucke & S. Vandevoorde, 2005. "A simulation and evaluation of earned value metrics to forecast the project duration," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/317, Ghent University, Faculty of Economics and Business Administration.
    4. S. Steenhaut & P. Van Kenhove, 2005. "An Empirical Investigation of the Relationships among a Consumer’s Personal Values, Ethical Ideology and Ethical Beliefs," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/321, Ghent University, Faculty of Economics and Business Administration.
    5. M. Vanhoucke & B. Maenhout, 2005. "Characterisation and Generation of Nurse Scheduling Problem Instances," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/339, Ghent University, Faculty of Economics and Business Administration.
    6. Jan Lepoutre & Nikolay Dentchev & Aimé Heene, 2007. "Dealing With Uncertainties When Governing CSR Policies," Journal of Business Ethics, Springer, vol. 73(4), pages 391-408, July.
    7. Ooghe, H. & Spaenjers, C. & Pieter vandermoere, 2005. "Business failure prediction: simple-intuitive models versus statistical models," Vlerick Leuven Gent Management School Working Paper Series 2005-22, Vlerick Leuven Gent Management School.
    8. M. Buelens & D. Bouckenooghe & D. De Clercq & A. Willem, 2005. "An Assessment of Validity in Small Business and Entrepreneurship Research," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/328, Ghent University, Faculty of Economics and Business Administration.
    9. D. Vantomme & M. Geuens & S. Dewitte, 2005. "How to Portray Men and Women in Advertisements? Explicit and Implicit Evaluations of Ads Depicting Different Gender Roles," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/319, Ghent University, Faculty of Economics and Business Administration.
    10. Maenhout, B. & Vanhoucke, M., 2006. "New computational results for the nurse scheduling problem: A scatter search algorithm," Vlerick Leuven Gent Management School Working Paper Series 2006-06, Vlerick Leuven Gent Management School.
    11. M. Knockaert & A. Lockett & B. Clarysse & M. Wright, 2005. "Do human capital and fund characteristics drive follow-up behaviour of early stage high tech VCs?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/325, Ghent University, Faculty of Economics and Business Administration.
    12. J. Albrecht & M. Neyt & T. Verbeke, 2005. "Bureaucratisation and the growth of health care expenditures in Europe," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/335, Ghent University, Faculty of Economics and Business Administration.
    13. K. Baeyens & T. Vanacker & S. Manigart, 2005. "Venture capitalists’ selection process: the case of biotechnology proposals," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/313, Ghent University, Faculty of Economics and Business Administration.
    14. B. Maenhout & M. Vanhoucke, 2005. "An Electromagnetic Meta-Heuristic for the Nurse Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/316, Ghent University, Faculty of Economics and Business Administration.
    15. L. Pozzi, 2005. "Income Uncertainty and Aggregate Consumption," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/334, Ghent University, Faculty of Economics and Business Administration.
    16. G. Poels & F. Gailly & A. Maes & R. Paemeleire, 2005. "Object Class or Association Class? Testing the User Effect on Cardinality Interpretation," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/323, Ghent University, Faculty of Economics and Business Administration.
    17. Dossche, Maarten & Everaert, Gerdie, 2005. "Measuring inflation persistence: a structural time series approach," Working Paper Series 495, European Central Bank.
    18. I. Vermeir & M. Geuens, 2005. "Need for Closure and Youngsters’ Leisure Time Preferences," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/318, Ghent University, Faculty of Economics and Business Administration.
    19. V. Vansteeger, 2005. "The current state of accounting harmonization: impediments to and benefits from harmonization," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/322, Ghent University, Faculty of Economics and Business Administration.
    20. P. Windels & J. Christiaens, 2005. "Management Reform in Flemish Local Authorities: Testing the Institutional Framework," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/331, Ghent University, Faculty of Economics and Business Administration.
    21. H. De Witte & E. Verhofstadt & E. Omey, 2005. "Testing Karasek’s learning- and strain hypothesis on young workers in their first job," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/326, Ghent University, Faculty of Economics and Business Administration.
    22. A. Karas & K. Schoors, 2005. "Heracles or Sisyphus? Finding, cleaning and reconstructing a database of Russian banks," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/327, Ghent University, Faculty of Economics and Business Administration.
    23. N. Geeroms & P. Van Kenhove & W. Verbeke, 2005. "Health Advertising to promote Fruit and Vegetable Intake: Application of need-related Health Audience Segmentation," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/336, Ghent University, Faculty of Economics and Business Administration.
    24. M. Vanhoucke & D. Debels, 2005. "The Discrete Time/Cost Trade-Off Problem Under Various Assumptions Exact And Heuristic Procedures," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/314, Ghent University, Faculty of Economics and Business Administration.
    25. G. Poels & A. Maes & F. Gailly, 2005. "User Attitudes towards Pattern-Based Enterprise Information Models: A Replicated Experiment with REA Diagrams," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/315, Ghent University, Faculty of Economics and Business Administration.
    26. W. Buckinx & G. Verstraeten & D. Van Den Poel, 2005. "Predicting Customer Loyalty Using The Internal Transactional Database," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/324, Ghent University, Faculty of Economics and Business Administration.
    27. W. Buckinx & D. Van Den Poel, 2005. "Assessing and exploiting the profit function by modeling the net impact of targeted marketing," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/330, Ghent University, Faculty of Economics and Business Administration.
    28. E. Labro & M. Vanhoucke, 2005. "A simulation analysis of interactions between errors in costing system design," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/333, Ghent University, Faculty of Economics and Business Administration.

  28. E. Labro & M. Vanhoucke, 2005. "A simulation analysis of interactions between errors in costing system design," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/333, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Cherchye, L. & De Rock, B. & Dierynck, B. & Roodhooft, F. & Sabbe, J., 2011. "Opening the ‘Black box’ of efficiency measurement: Input allocation in Multi-output settings," Vlerick Leuven Gent Management School Working Paper Series 2011-13, Vlerick Leuven Gent Management School.
    2. M. Vanhoucke & B. Maenhout, 2005. "Characterisation and Generation of Nurse Scheduling Problem Instances," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/339, Ghent University, Faculty of Economics and Business Administration.
    3. Jan Lepoutre & Nikolay Dentchev & Aimé Heene, 2007. "Dealing With Uncertainties When Governing CSR Policies," Journal of Business Ethics, Springer, vol. 73(4), pages 391-408, July.
    4. Ooghe, H. & Spaenjers, C. & Pieter vandermoere, 2005. "Business failure prediction: simple-intuitive models versus statistical models," Vlerick Leuven Gent Management School Working Paper Series 2005-22, Vlerick Leuven Gent Management School.
    5. Cathérine Grisar & Matthias Meyer, 2016. "Use of simulation in controlling research: a systematic literature review for German-speaking countries," Management Review Quarterly, Springer, vol. 66(2), pages 117-157, April.
    6. Stefan Groesser & Niklas Jovy, 2016. "Business model analysis using computational modeling: a strategy tool for exploration and decision-making," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 27(1), pages 61-88, February.
    7. Maenhout, B. & Vanhoucke, M., 2006. "New computational results for the nurse scheduling problem: A scatter search algorithm," Vlerick Leuven Gent Management School Working Paper Series 2006-06, Vlerick Leuven Gent Management School.
    8. Eva Labro, 2015. "Using simulation methods in accounting research," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 99-104, August.
    9. J. Albrecht & M. Neyt & T. Verbeke, 2005. "Bureaucratisation and the growth of health care expenditures in Europe," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/335, Ghent University, Faculty of Economics and Business Administration.
    10. L. Pozzi, 2005. "Income Uncertainty and Aggregate Consumption," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/334, Ghent University, Faculty of Economics and Business Administration.
    11. Eva Labro & Mario Vanhoucke, 2008. "Diversity in Resource Consumption Patterns and Robustness of Costing Systems to Errors," Management Science, INFORMS, vol. 54(10), pages 1715-1730, October.
    12. Stephan Leitner, 2014. "A simulation analysis of interactions among intended biases in costing systems and their effects on the accuracy of decision-influencing information," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(1), pages 113-138, March.
    13. Graziano Coller & Paolo Collini, 2015. "The optimality of full-cost pricing: a simulation analysis of the price-adjustment dynamics," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 157-191, August.
    14. Dossche, Maarten & Everaert, Gerdie, 2005. "Measuring inflation persistence: a structural time series approach," Working Paper Series 495, European Central Bank.
    15. Ramji Balakrishnan & Stephen Hansen & Eva Labro, 2011. "Evaluating Heuristics Used When Designing Product Costing Systems," Management Science, INFORMS, vol. 57(3), pages 520-541, March.
    16. Stefan N. Groesser & Niklas Jovy, 2016. "Business model analysis using computational modeling: a strategy tool for exploration and decision-making," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 27(1), pages 61-88, February.
    17. Clément Thomas & Michel Gervais, 2008. "Le problème du regroupement des activités dans la modélisation ABC:une approche possible," Revue Finance Contrôle Stratégie, revues.org, vol. 11(4), pages 137-170, December.
    18. Sina Hocke & Matthias Meyer & Iris Lorscheid, 2015. "Improving simulation model analysis and communication via design of experiment principles: an example from the simulation-based design of cost accounting systems," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 131-155, August.
    19. Friederike Wall, 2015. "Beneficial Effects Of Randomized Organizational Change On Performance," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 18(05n06), pages 1-23, August.
    20. N. Geeroms & P. Van Kenhove & W. Verbeke, 2005. "Health Advertising to promote Fruit and Vegetable Intake: Application of need-related Health Audience Segmentation," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/336, Ghent University, Faculty of Economics and Business Administration.
    21. C. Homburg & Julia Nasev & Philipp Plank, 2018. "The impact of cost allocation errors on price and product-mix decisions," Review of Quantitative Finance and Accounting, Springer, vol. 51(2), pages 497-527, August.
    22. S. Hoozée & L. Vermeire & W. Bruggeman, 2009. "A risk analysis approach for time equation-based costing," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/556, Ghent University, Faculty of Economics and Business Administration.
    23. Friederike Wall, 2016. "Agent-based modeling in managerial science: an illustrative survey and study," Review of Managerial Science, Springer, vol. 10(1), pages 135-193, January.
    24. Oliver Chan & Alfred Ka Chun Ma, 2016. "Stochastic cost flow system for stock markets with an application in behavioral finance," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 3(04), pages 1-32, December.
    25. S. Hoozée & W. Bruggeman, 2007. "Towards explaining cost estimation errors in time equation-based costing," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/486, Ghent University, Faculty of Economics and Business Administration.
    26. John Christensen, 2011. "Good Analytical Research," European Accounting Review, Taylor & Francis Journals, vol. 20(1), pages 41-51.
    27. Stephan Leitner & Friederike Wall, 2015. "Simulation-based research in management accounting and control: an illustrative overview," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 105-129, August.

  29. D. Debels & B. De Reyck & R. Leus & M. Vanhoucke, 2004. "A Hybrid Scatter Search / Electromagnetism Meta-Heuristic for Project Scheduling," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/237, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. André Schnabel & Carolin Kellenbrink & Stefan Helber, 2018. "Profit-oriented scheduling of resource-constrained projects with flexible capacity constraints," Business Research, Springer;German Academic Association for Business Research, vol. 11(2), pages 329-356, September.
    2. Naji-Azimi, Zahra & Toth, Paolo & Galli, Laura, 2010. "An electromagnetism metaheuristic for the unicost set covering problem," European Journal of Operational Research, Elsevier, vol. 205(2), pages 290-300, September.
    3. Anurag Agarwal, 2009. "Theoretical insights into the augmented-neural-network approach for combinatorial optimization," Annals of Operations Research, Springer, vol. 168(1), pages 101-117, April.
    4. Ilkyeong Moon & Sanghyup Lee & Moonsoo Shin & Kwangyeol Ryu, 2016. "Evolutionary resource assignment for workload-based production scheduling," Journal of Intelligent Manufacturing, Springer, vol. 27(2), pages 375-388, April.
    5. M. Vanhoucke, 2007. "A genetic algorithm to investigate the trade-off between project lead time and net present value," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/456, Ghent University, Faculty of Economics and Business Administration.
    6. Coelho, José & Vanhoucke, Mario, 2011. "Multi-mode resource-constrained project scheduling using RCPSP and SAT solvers," European Journal of Operational Research, Elsevier, vol. 213(1), pages 73-82, August.
    7. Luis F. Machado-Domínguez & Carlos D. Paternina-Arboleda & Jorge I. Vélez & Agustín Barrios-Sarmiento, 2022. "An adaptative bacterial foraging optimization algorithm for solving the MRCPSP with discounted cash flows," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(2), pages 221-248, July.
    8. Len Vandenheede & Mario Vanhoucke & Broos Maenhout, 2016. "A scatter search for the extended resource renting problem," International Journal of Production Research, Taylor & Francis Journals, vol. 54(16), pages 4723-4743, August.
    9. Anupam Biswas & K. K. Mishra & Shailesh Tiwari & A. K. Misra, 2013. "Physics-Inspired Optimization Algorithms: A Survey," Journal of Optimization, Hindawi, vol. 2013, pages 1-16, June.
    10. Kadri, Roubila Lilia & Boctor, Fayez F., 2018. "An efficient genetic algorithm to solve the resource-constrained project scheduling problem with transfer times: The single mode case," European Journal of Operational Research, Elsevier, vol. 265(2), pages 454-462.
    11. Ranjbar, Mohammad & De Reyck, Bert & Kianfar, Fereydoon, 2009. "A hybrid scatter search for the discrete time/resource trade-off problem in project scheduling," European Journal of Operational Research, Elsevier, vol. 193(1), pages 35-48, February.
    12. Valls, Vicente & Ballestin, Francisco & Quintanilla, Sacramento, 2008. "A hybrid genetic algorithm for the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 185(2), pages 495-508, March.
    13. Mohammad Fathian & Javid Jouzdani & Mehdi Heydari & Ahmad Makui, 2018. "Location and transportation planning in supply chains under uncertainty and congestion by using an improved electromagnetism-like algorithm," Journal of Intelligent Manufacturing, Springer, vol. 29(7), pages 1447-1464, October.
    14. Bredael, Dries & Vanhoucke, Mario, 2024. "A genetic algorithm with resource buffers for the resource-constrained multi-project scheduling problem," European Journal of Operational Research, Elsevier, vol. 315(1), pages 19-34.
    15. Xabier A. Martin & Rosa Herrero & Angel A. Juan & Javier Panadero, 2024. "An Agile Adaptive Biased-Randomized Discrete-Event Heuristic for the Resource-Constrained Project Scheduling Problem," Mathematics, MDPI, vol. 12(12), pages 1-21, June.
    16. Elloumi, Sonda & Fortemps, Philippe, 2010. "A hybrid rank-based evolutionary algorithm applied to multi-mode resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 205(1), pages 31-41, August.
    17. Esmaeil Mehdizadeh & Mohammad Teimouri & Arash Zaretalab & S. T. A. Niaki, 2017. "A Combined Approach Based on K-Means and Modified Electromagnetism-Like Mechanism for Data Clustering," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(05), pages 1279-1307, September.
    18. Fekri, Roxana & Amiri, Maghsoud & Sajjad, Rasoul & Golestaneh, Ramin, 2016. "Optimization of Bank Portfolio Investment Decision Considering Resistive Economy," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 11(4), pages 375-400, October.
    19. Anurag Agarwal & Selcuk Colak & Jason Deane, 2010. "NeuroGenetic approach for combinatorial optimization: an exploratory analysis," Annals of Operations Research, Springer, vol. 174(1), pages 185-199, February.
    20. Kreter, Stefan & Rieck, Julia & Zimmermann, Jürgen, 2016. "Models and solution procedures for the resource-constrained project scheduling problem with general temporal constraints and calendars," European Journal of Operational Research, Elsevier, vol. 251(2), pages 387-403.
    21. Zhenyuan Liu & Lei Xiao & Jing Tian, 2016. "An activity-list-based nested partitions algorithm for resource-constrained project scheduling," International Journal of Production Research, Taylor & Francis Journals, vol. 54(16), pages 4744-4758, August.
    22. Leyman, Pieter & Vanhoucke, Mario, 2017. "Capital- and resource-constrained project scheduling with net present value optimization," European Journal of Operational Research, Elsevier, vol. 256(3), pages 757-776.
    23. Servranckx, Tom & Coelho, José & Vanhoucke, Mario, 2024. "A genetic algorithm for the Resource-Constrained Project Scheduling Problem with Alternative Subgraphs using a boolean satisfiability solver," European Journal of Operational Research, Elsevier, vol. 316(3), pages 815-827.
    24. Xiao, Jing & Wu, Zhou & Hong, Xi-Xi & Tang, Jian-Chao & Tang, Yong, 2016. "Integration of electromagnetism with multi-objective evolutionary algorithms for RCPSP," European Journal of Operational Research, Elsevier, vol. 251(1), pages 22-35.

  30. D. Debels & M. Vanhoucke, 2004. "An Electromagnetism Meta-Heuristic For The Resource-Constrained Project Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/251, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Dieter Debels & Mario Vanhoucke, 2007. "A Decomposition-Based Genetic Algorithm for the Resource-Constrained Project-Scheduling Problem," Operations Research, INFORMS, vol. 55(3), pages 457-469, June.
    2. D. Debels & M. Vanhoucke, 2006. "Meta-heuristic resource-constrained project scheduling:solution space restrictions and neighbourhood extensions," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/387, Ghent University, Faculty of Economics and Business Administration.
    3. Peteghem, Vincent Van & Vanhoucke, Mario, 2010. "A genetic algorithm for the preemptive and non-preemptive multi-mode resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 201(2), pages 409-418, March.
    4. V. Van Peteghem & M. Vanhoucke, 2008. "A Genetic Algorithm for the Multi-Mode Resource-Constrained Project Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/494, Ghent University, Faculty of Economics and Business Administration.

  31. M. Vanhoucke & K. Van Osselaer, 2004. "Work Continuity In A Real-Life Schedule: The Westerschelde Tunnel," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/271, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. M. Vanhoucke, 2004. "Work Continuity Constraints In Project Scheduling," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/265, Ghent University, Faculty of Economics and Business Administration.

  32. M. Vanhoucke, 2004. "Work Continuity Constraints In Project Scheduling," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/265, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Hartmann, Sönke & Briskorn, Dirk, 2008. "A survey of variants and extensions of the resource-constrained project scheduling problem," Working Paper Series 02/2008, Hamburg School of Business Administration (HSBA).
    2. Hartmann, Sönke & Briskorn, Dirk, 2010. "A survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 207(1), pages 1-14, November.
    3. M. Vanhoucke, 2007. "An electromagnetic time/cost trade-off optimization in project scheduling," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/457, Ghent University, Faculty of Economics and Business Administration.
    4. Khalied Hesham Hyari & Khaled El-Rayes & Mohammad El-Mashaleh, 2009. "Automated trade-off between time and cost in planning repetitive construction projects," Construction Management and Economics, Taylor & Francis Journals, vol. 27(8), pages 749-761.
    5. M. Vanhoucke, 2006. "An efficient hybrid search algorithm for various optimization problems," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/365, Ghent University, Faculty of Economics and Business Administration.

  33. M. Vanhoucke, 2003. "New Computational Results For The Discrete Time/Cost Trade-Off Problem With Time-Switch Constraints," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 03/181, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Mario Vanhoucke, 2002. "New computational results for the discrete time/cost trade-off problem with time-switch constraints," Vlerick Leuven Gent Management School Working Paper Series 2002-18, Vlerick Leuven Gent Management School.
    2. Helena Gaspars, 2006. "A conception of a new algorithm for the project time-cost analysis," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 16(3-4), pages 5-27.
    3. D. Van den Poel, 2003. "Predicting Mail-Order Repeat Buying. Which Variables Matter?," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(3), pages 371-404.
    4. Valenko Tadej & Klanšek Uroš, 2017. "An integration of spreadsheet and project management software for cost optimal time scheduling in construction," Organization, Technology and Management in Construction, Sciendo, vol. 9(1), pages 1627-1637, December.
    5. Weglarz, Jan & Józefowska, Joanna & Mika, Marek & Waligóra, Grzegorz, 2011. "Project scheduling with finite or infinite number of activity processing modes - A survey," European Journal of Operational Research, Elsevier, vol. 208(3), pages 177-205, February.
    6. M. Vanhoucke, 2007. "An electromagnetic time/cost trade-off optimization in project scheduling," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/457, Ghent University, Faculty of Economics and Business Administration.
    7. Zsolt T. Kosztyán & István Szalkai, 2020. "Multimode resource-constrained project scheduling in flexible projects," Journal of Global Optimization, Springer, vol. 76(1), pages 211-241, January.
    8. He, Zhengwen & Wang, Nengmin & Jia, Tao & Xu, Yu, 2009. "Simulated annealing and tabu search for multi-mode project payment scheduling," European Journal of Operational Research, Elsevier, vol. 198(3), pages 688-696, November.

  34. M. Vanhoucke, 2002. "Optimal Due Date Assignment In Project Scheduling," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 02/159, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. D. Van den Poel, 2003. "Predicting Mail-Order Repeat Buying. Which Variables Matter?," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(3), pages 371-404.
    2. Valls, Vicente & Pérez, Ángeles & Quintanilla, Sacramento, 2009. "Skilled workforce scheduling in Service Centres," European Journal of Operational Research, Elsevier, vol. 193(3), pages 791-804, March.
    3. Quintanilla, Sacramento & Pérez, Ángeles & Lino, Pilar & Valls, Vicente, 2012. "Time and work generalised precedence relationships in project scheduling with pre-emption: An application to the management of Service Centres," European Journal of Operational Research, Elsevier, vol. 219(1), pages 59-72.

Articles

  1. Bredael, Dries & Vanhoucke, Mario, 2023. "Multi-project scheduling: A benchmark analysis of metaheuristic algorithms on various optimisation criteria and due dates," European Journal of Operational Research, Elsevier, vol. 308(1), pages 54-75.

    Cited by:

    1. Bredael, Dries & Vanhoucke, Mario, 2024. "A genetic algorithm with resource buffers for the resource-constrained multi-project scheduling problem," European Journal of Operational Research, Elsevier, vol. 315(1), pages 19-34.

  2. Snauwaert, Jakob & Vanhoucke, Mario, 2023. "A classification and new benchmark instances for the multi-skilled resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 307(1), pages 1-19.

    Cited by:

    1. Ladan Hatami-Moghaddam & Mohammad Khalilzadeh & Nasser Shahsavari-Pour & Seyed Mojtaba Sajadi, 2024. "Developing a Robust Multi-Skill, Multi-Mode Resource-Constrained Project Scheduling Model with Partial Preemption, Resource Leveling, and Time Windows," Mathematics, MDPI, vol. 12(19), pages 1-21, October.
    2. Rahman Torba & Stéphane Dauzère-Pérès & Claude Yugma & Cédric Gallais & Juliette Pouzet, 2024. "Solving a real-life multi-skill resource-constrained multi-project scheduling problem," Annals of Operations Research, Springer, vol. 338(1), pages 69-114, July.

  3. Van Eynde, Rob & Vanhoucke, Mario, 2022. "New summary measures and datasets for the multi-project scheduling problem," European Journal of Operational Research, Elsevier, vol. 299(3), pages 853-868.

    Cited by:

    1. Yukang He & Tao Jia & Weibo Zheng, 2024. "Simulated annealing for centralised resource-constrained multiproject scheduling to minimise the maximal cash flow gap under different payment patterns," Annals of Operations Research, Springer, vol. 338(1), pages 115-149, July.
    2. Philipp Melchiors & Rainer Kolisch & John J. Kanet, 2024. "The performance of priority rules for the dynamic stochastic resource-constrained multi-project scheduling problem: an experimental investigation," Annals of Operations Research, Springer, vol. 338(1), pages 569-595, July.
    3. Snauwaert, Jakob & Vanhoucke, Mario, 2023. "A classification and new benchmark instances for the multi-skilled resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 307(1), pages 1-19.

  4. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2022. "Using Earned Value Management and Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 297(2), pages 451-466.

    Cited by:

    1. Sławomir Biruk & Piotr Jaśkowski & Magdalena Maciaszczyk, 2022. "Conceptual Framework of a Simulation-Based Manpower Planning Method for Construction Enterprises," Sustainability, MDPI, vol. 14(9), pages 1-13, April.

  5. Snauwaert, Jakob & Vanhoucke, Mario, 2021. "A new algorithm for resource-constrained project scheduling with breadth and depth of skills," European Journal of Operational Research, Elsevier, vol. 292(1), pages 43-59.

    Cited by:

    1. Min Wang & Guoshan Liu & Xinyu Lin, 2022. "Dynamic Optimization of the Multi-Skilled Resource-Constrained Project Scheduling Problem with Uncertainty in Resource Availability," Mathematics, MDPI, vol. 10(17), pages 1-20, August.
    2. Snauwaert, Jakob & Vanhoucke, Mario, 2023. "A classification and new benchmark instances for the multi-skilled resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 307(1), pages 1-19.
    3. Meya Haroune & Cheikh Dhib & Emmanuel Neron & Ameur Soukhal & Hafed Mohamed Babou & Mohamedade Farouk Nanne, 2023. "Multi-project scheduling problem under shared multi-skill resource constraints," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(1), pages 194-235, April.

  6. Servranckx, Tom & Vanhoucke, Mario & Aouam, Tarik, 2021. "Practical application of reference class forecasting for cost and time estimations: Identifying the properties of similarity," European Journal of Operational Research, Elsevier, vol. 295(3), pages 1161-1179.

    Cited by:

    1. Ünsal-Altuncan, Izel & Vanhoucke, Mario, 2024. "A hybrid forecasting model to predict the duration and cost performance of projects with Bayesian Networks," European Journal of Operational Research, Elsevier, vol. 315(2), pages 511-527.
    2. Lordan-Perret, Rebecca & Bärenbold, Rebekka & Weigt, Hannes & Rosner, Robert, 2023. "An ex-ante method to verify commercial U.S. nuclear power plant decommissioning cost estimates," Energy Economics, Elsevier, vol. 127(PB).
    3. Dorota Kuchta & Paolo Canonico & Vincenza Capone & Guido Capaldo, 2023. "Uncertainty in the Planning Phase of Public Projects—Its Scope, Consequences, and Possible Remedies," Administrative Sciences, MDPI, vol. 13(6), pages 1-17, June.

  7. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2021. "Using Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 288(3), pages 736-752.

    Cited by:

    1. Mahmoudi, Amin & Javed, Saad Ahmed, 2022. "Performance Evaluation of Construction Sub‐contractors using Ordinal Priority Approach," Evaluation and Program Planning, Elsevier, vol. 91(C).
    2. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2022. "Using Earned Value Management and Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 297(2), pages 451-466.
    3. Kim, Byung-Cheol, 2022. "Multi-factor dependence modelling with specified marginals and structured association in large-scale project risk assessment," European Journal of Operational Research, Elsevier, vol. 296(2), pages 679-695.

  8. Rob Eynde & Mario Vanhoucke, 2020. "Resource-constrained multi-project scheduling: benchmark datasets and decoupled scheduling," Journal of Scheduling, Springer, vol. 23(3), pages 301-325, June.

    Cited by:

    1. Van Eynde, Rob & Vanhoucke, Mario, 2022. "New summary measures and datasets for the multi-project scheduling problem," European Journal of Operational Research, Elsevier, vol. 299(3), pages 853-868.
    2. Yukang He & Tao Jia & Weibo Zheng, 2024. "Simulated annealing for centralised resource-constrained multiproject scheduling to minimise the maximal cash flow gap under different payment patterns," Annals of Operations Research, Springer, vol. 338(1), pages 115-149, July.
    3. Bredael, Dries & Vanhoucke, Mario, 2023. "Multi-project scheduling: A benchmark analysis of metaheuristic algorithms on various optimisation criteria and due dates," European Journal of Operational Research, Elsevier, vol. 308(1), pages 54-75.
    4. Philipp Melchiors & Rainer Kolisch & John J. Kanet, 2024. "The performance of priority rules for the dynamic stochastic resource-constrained multi-project scheduling problem: an experimental investigation," Annals of Operations Research, Springer, vol. 338(1), pages 569-595, July.
    5. Brachmann, Robert & Kolisch, Rainer, 2021. "The impact of flexibility on engineer-to-order production planning," International Journal of Production Economics, Elsevier, vol. 239(C).
    6. Bredael, Dries & Vanhoucke, Mario, 2024. "A genetic algorithm with resource buffers for the resource-constrained multi-project scheduling problem," European Journal of Operational Research, Elsevier, vol. 315(1), pages 19-34.
    7. Gómez Sánchez, Mariam & Lalla-Ruiz, Eduardo & Fernández Gil, Alejandro & Castro, Carlos & Voß, Stefan, 2023. "Resource-constrained multi-project scheduling problem: A survey," European Journal of Operational Research, Elsevier, vol. 309(3), pages 958-976.
    8. Wuliang Peng & Jiali lin & Jingwen Zhang & Liangwei Chen, 2022. "A bi-objective hierarchical program scheduling problem and its solution based on NSGA-III," Annals of Operations Research, Springer, vol. 308(1), pages 389-414, January.

  9. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2020. "The impact of a limited budget on the corrective action taking process," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1070-1086.

    Cited by:

    1. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2022. "Using Earned Value Management and Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 297(2), pages 451-466.
    2. Vaseghi, Forough & Martens, Annelies & Vanhoucke, Mario, 2024. "Analysis of the impact of corrective actions for stochastic project networks," European Journal of Operational Research, Elsevier, vol. 316(2), pages 503-518.
    3. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2021. "Using Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 288(3), pages 736-752.

  10. Van Den Eeckhout, M. & Vanhoucke, M. & Maenhout, B., 2020. "A decomposed branch-and-price procedure for integrating demand planning in personnel staffing problems," European Journal of Operational Research, Elsevier, vol. 280(3), pages 845-859.

    Cited by:

    1. Mick Van Den Eeckhout & Broos Maenhout & Mario Vanhoucke, 2020. "Mode generation rules to define activity flexibility for the integrated project staffing problem with discrete time/resource trade-offs," Annals of Operations Research, Springer, vol. 292(1), pages 133-160, September.
    2. E. O. Ossai & M. S. Madukaife & A. U. Udom & U. C. Nduka & T. E. Ugah, 2023. "Effects of Prioritized Input on Human Resource Control in Departmentalized Markov Manpower Framework," Methodology and Computing in Applied Probability, Springer, vol. 25(1), pages 1-19, March.

  11. Servranckx, Tom & Vanhoucke, Mario, 2019. "Strategies for project scheduling with alternative subgraphs under uncertainty: similar and dissimilar sets of schedules," European Journal of Operational Research, Elsevier, vol. 279(1), pages 38-53.

    Cited by:

    1. Kosztyán, Zsolt T. & Jakab, Róbert & Novák, Gergely & Hegedűs, Csaba, 2020. "Survive IT! Survival analysis of IT project planning approaches," Operations Research Perspectives, Elsevier, vol. 7(C).
    2. Fan, Lurong & Xu, Jiuping, 2020. "Authority–enterprise equilibrium based mixed subsidy mechanism for carbon reduction and energy utilization in the coalbed methane industry," Energy Policy, Elsevier, vol. 147(C).
    3. Fan, Lurong & Ma, Ning & Zhang, Wen, 2023. "Multi-stakeholder equilibrium-based subsidy allocation mechanism for promoting coalbed methane scale extraction-utilization," Energy, Elsevier, vol. 277(C).
    4. Servranckx, Tom & Coelho, José & Vanhoucke, Mario, 2024. "A genetic algorithm for the Resource-Constrained Project Scheduling Problem with Alternative Subgraphs using a boolean satisfiability solver," European Journal of Operational Research, Elsevier, vol. 316(3), pages 815-827.
    5. Fan, Lurong & Wang, Binyu & Song, Xiaoling, 2023. "An authority-enterprise equilibrium differentiated subsidy mechanism for promoting coalbed methane extraction in multiple coal seams," Energy, Elsevier, vol. 263(PA).

  12. Servranckx, Tom & Vanhoucke, Mario, 2019. "A tabu search procedure for the resource-constrained project scheduling problem with alternative subgraphs," European Journal of Operational Research, Elsevier, vol. 273(3), pages 841-860.

    Cited by:

    1. Annear, Luis Mauricio & Akhavan-Tabatabaei, Raha & Schmid, Verena, 2023. "Dynamic assignment of a multi-skilled workforce in job shops: An approximate dynamic programming approach," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1109-1125.
    2. Pejman Peykani & Jafar Gheidar-Kheljani & Sheida Shahabadi & Seyyed Hassan Ghodsypour & Mojtaba Nouri, 2023. "A two-phase resource-constrained project scheduling approach for design and development of complex product systems," Operational Research, Springer, vol. 23(1), pages 1-25, March.
    3. Hartmann, Sönke & Briskorn, Dirk, 2022. "An updated survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 297(1), pages 1-14.
    4. Kaut, Michal & Vaagen, Hajnalka & Wallace, Stein W., 2021. "The combined impact of stochastic and correlated activity durations and design uncertainty on project plans," International Journal of Production Economics, Elsevier, vol. 233(C).
    5. Kosztyán, Zsolt T. & Jakab, Róbert & Novák, Gergely & Hegedűs, Csaba, 2020. "Survive IT! Survival analysis of IT project planning approaches," Operations Research Perspectives, Elsevier, vol. 7(C).
    6. Hongbo Li & Linwen Zheng & Hanyu Zhu, 2023. "Resource leveling in projects with flexible structures," Annals of Operations Research, Springer, vol. 321(1), pages 311-342, February.
    7. van der Beek, T. & Souravlias, D. & van Essen, J.T. & Pruyn, J. & Aardal, K., 2024. "Hybrid differential evolution algorithm for the resource constrained project scheduling problem with a flexible project structure and consumption and production of resources," European Journal of Operational Research, Elsevier, vol. 313(1), pages 92-111.
    8. Servranckx, Tom & Vanhoucke, Mario, 2019. "Strategies for project scheduling with alternative subgraphs under uncertainty: similar and dissimilar sets of schedules," European Journal of Operational Research, Elsevier, vol. 279(1), pages 38-53.
    9. Hanafi, Saïd & Wang, Yang & Glover, Fred & Yang, Wei & Hennig, Rick, 2023. "Tabu search exploiting local optimality in binary optimization," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1037-1055.
    10. Cui, Haipeng & Chen, Shukai & Chen, Rui & Meng, Qiang, 2022. "A two-stage hybrid heuristic solution for the container drayage problem with trailer reposition," European Journal of Operational Research, Elsevier, vol. 299(2), pages 468-482.
    11. Maryam Sadeghloo & Saeed Emami & Ali Divsalar, 2024. "A Benders decomposition algorithm for the multi-mode resource-constrained multi-project scheduling problem with uncertainty," Annals of Operations Research, Springer, vol. 339(3), pages 1637-1677, August.
    12. Borna Dasović & Mario Galić & Uroš Klanšek, 2020. "A Survey on Integration of Optimization and Project Management Tools for Sustainable Construction Scheduling," Sustainability, MDPI, vol. 12(8), pages 1-18, April.
    13. Servranckx, Tom & Coelho, José & Vanhoucke, Mario, 2024. "A genetic algorithm for the Resource-Constrained Project Scheduling Problem with Alternative Subgraphs using a boolean satisfiability solver," European Journal of Operational Research, Elsevier, vol. 316(3), pages 815-827.

  13. Martens, Annelies & Vanhoucke, Mario, 2019. "The impact of applying effort to reduce activity variability on the project time and cost performance," European Journal of Operational Research, Elsevier, vol. 277(2), pages 442-453.

    Cited by:

    1. Zhengxun Jin & Jonghyeob Kim & Chang-taek Hyun & Sangwon Han, 2019. "Development of a Model for Predicting Probabilistic Life-Cycle Cost for the Early Stage of Public-Office Construction," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    2. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2022. "Using Earned Value Management and Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 297(2), pages 451-466.
    3. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2021. "Using Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 288(3), pages 736-752.
    4. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2020. "The impact of a limited budget on the corrective action taking process," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1070-1086.
    5. Drăgan, George Bogdan & Vasilache, Raluca Oana & Schin, George Cristian, 2020. "Exploring eco-label industry actors’ perceptions on the capabilities of a forthcoming multiple project management software – An fsQCA approach," Journal of Business Research, Elsevier, vol. 115(C), pages 281-288.

  14. Maenhout, Broos & Vanhoucke, Mario, 2018. "A perturbation matheuristic for the integrated personnel shift and task re-scheduling problem," European Journal of Operational Research, Elsevier, vol. 269(3), pages 806-823.

    Cited by:

    1. Akbarzadeh, Babak & Maenhout, Broos, 2024. "A study on policy decisions to embed flexibility for reactive recovery in the planning and scheduling process in operating rooms," Omega, Elsevier, vol. 126(C).
    2. Liping Ge & Stefan Voß & Lin Xie, 2022. "Robustness and disturbances in public transport," Public Transport, Springer, vol. 14(1), pages 191-261, March.
    3. Borgonjon, Tessa & Maenhout, Broos, 2022. "An exact approach for the personnel task rescheduling problem with task retiming," European Journal of Operational Research, Elsevier, vol. 296(2), pages 465-484.
    4. Wang, Wenshu & Xie, Kexin & Guo, Siqi & Li, Weixing & Xiao, Fan & Liang, Zhe, 2023. "A shift-based model to solve the integrated staff rostering and task assignment problem with real-world requirements," European Journal of Operational Research, Elsevier, vol. 310(1), pages 360-378.

  15. Burgelman, Jeroen & Vanhoucke, Mario, 2018. "Maximising the weighted number of activity execution modes in project planning," European Journal of Operational Research, Elsevier, vol. 270(3), pages 999-1013.

    Cited by:

    1. Guopeng Song & Tamás Kis & Roel Leus, 2021. "Polyhedral Results and Branch-and-Cut for the Resource Loading Problem," INFORMS Journal on Computing, INFORMS, vol. 33(1), pages 105-119, January.

  16. Leyman, Pieter & Vanhoucke, Mario, 2017. "Capital- and resource-constrained project scheduling with net present value optimization," European Journal of Operational Research, Elsevier, vol. 256(3), pages 757-776.

    Cited by:

    1. Hartmann, Sönke & Briskorn, Dirk, 2022. "An updated survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 297(1), pages 1-14.
    2. He, Yukang & Jia, Tao & Zheng, Weibo, 2023. "Tabu search for dedicated resource-constrained multiproject scheduling to minimise the maximal cash flow gap under uncertainty," European Journal of Operational Research, Elsevier, vol. 310(1), pages 34-52.
    3. Zixuan Zhang & Michail Chronopoulos & Dimitrina S. Dimitrova & Ioannis Kyriakou, 2024. "Risk assessment and optimal scheduling of serial projects," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(3), pages 709-736, September.
    4. Yukang He & Tao Jia & Weibo Zheng, 2024. "Simulated annealing for centralised resource-constrained multiproject scheduling to minimise the maximal cash flow gap under different payment patterns," Annals of Operations Research, Springer, vol. 338(1), pages 115-149, July.
    5. Bruni, Maria Elena & Hazır, Öncü, 2024. "A risk-averse distributionally robust project scheduling model to address payment delays," European Journal of Operational Research, Elsevier, vol. 318(2), pages 398-407.
    6. Marchioni, Andrea & Magni, Carlo Alberto, 2018. "Investment decisions and sensitivity analysis: NPV-consistency of rates of return," European Journal of Operational Research, Elsevier, vol. 268(1), pages 361-372.
    7. Canca, David & Andrade-Pineda, José Luis & De-Los-Santos, Alicia & González-R, Pedro Luis, 2021. "A quantitative approach for the long-term assessment of Railway Rapid Transit network construction or expansion projects," European Journal of Operational Research, Elsevier, vol. 294(2), pages 604-621.
    8. Abdollah Arasteh, 2020. "Considering Project Management Activities for Engineering Design Groups," SN Operations Research Forum, Springer, vol. 1(4), pages 1-29, December.
    9. Wu, Desheng & Olson, David L. & Wang, Shouyang, 2019. "Finance-operations interface mechanism and models," Omega, Elsevier, vol. 88(C), pages 1-3.

  17. Kerkhove, L.-P. & Vanhoucke, M., 2017. "Optimised scheduling for weather sensitive offshore construction projects," Omega, Elsevier, vol. 66(PA), pages 58-78.

    Cited by:

    1. Boda Liu & Bin Yang & Jianzhuang Xiao & Dayu Zhu & Binghan Zhang & Zhichen Wang & Miaosi Dong, 2021. "Review of Optimization Dynamically Applied in the Construction and the Application Potential of ICT," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    2. Emad Mohamed & Parinaz Jafari & Adam Chehouri & Simaan AbouRizk, 2021. "Simulation-Based Approach for Lookahead Scheduling of Onshore Wind Projects Subject to Weather Risk," Sustainability, MDPI, vol. 13(18), pages 1-27, September.
    3. Albert H. Schrotenboer & Evrim Ursavas & Iris F. A. Vis, 2019. "A Branch-and-Price-and-Cut Algorithm for Resource-Constrained Pickup and Delivery Problems," Transportation Science, INFORMS, vol. 53(4), pages 1001-1022, July.
    4. Rippel, Daniel & Peng, Shengrui & Lütjen, Michael & Sczcerbicka, Helena & Freitag, Michael, 2020. "Model transformation framework for scheduling offshore logistics," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conferen, volume 30, pages 521-552, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    5. Rippel, Daniel & Jathe, Nicolas & Lütjen, Michael & Szczerbicka, Helena & Freitag, Michael, 2019. "Integrated domain model for operative offshore installation planning," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Digital Transformation in Maritime and City Logistics: Smart Solutions for Logistics. Proceedings of the Hamburg International Conference of Logistics, volume 28, pages 25-54, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    6. Steven J. Schuldt & Mathew R. Nicholson & Yaquarri A. Adams & Justin D. Delorit, 2021. "Weather-Related Construction Delays in a Changing Climate: A Systematic State-of-the-Art Review," Sustainability, MDPI, vol. 13(5), pages 1-25, March.
    7. Daniel Rippel & Fatemeh Abasian Foroushani & Michael Lütjen & Michael Freitag, 2021. "A Crew Scheduling Model to Incrementally Optimize Workforce Assignments for Offshore Wind Farm Constructions," Energies, MDPI, vol. 14(21), pages 1-21, October.
    8. Hermans, Ben & Leus, Roel & Looy, Bart Van, 2023. "Deciding on scheduling, secrecy, and patenting during the new product development process: The relevance of project planning models," Omega, Elsevier, vol. 116(C).
    9. Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), 2020. "Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability," Proceedings of the Hamburg International Conference of Logistics (HICL), Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management, volume 30, number 30.
    10. Javad Seif & Mohammad Dehghanimohammadabadi & Andrew Junfang Yu, 2020. "Integrated preventive maintenance and flow shop scheduling under uncertainty," Flexible Services and Manufacturing Journal, Springer, vol. 32(4), pages 852-887, December.

  18. Kerkhove, L.-P. & Vanhoucke, M., 2017. "A parallel multi-objective scatter search for optimising incentive contract design in projects," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1066-1084.

    Cited by:

    1. Awasthy, Prakash & Hazra, Jishnu, 2020. "Collaboration under outcome-based contracts for information technology services," European Journal of Operational Research, Elsevier, vol. 286(1), pages 350-359.
    2. Wen Jiang & Li Yuan & Lanjun Wu & Shiyue Guo, 2019. "Carbon emission reduction and profit distribution mechanism of construction supply chain with fairness concern and cap-and-trade," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-23, October.
    3. Guangdong Wu, 2017. "A Multi-Objective Trade-Off Model in Sustainable Construction Projects," Sustainability, MDPI, vol. 9(11), pages 1-18, October.
    4. Haikun Han & Juqin Shen & Bo Liu & Han Han, 2022. "Dynamic Incentive Mechanism for Large-scale Projects Based on the Reputation Effects," SAGE Open, , vol. 12(4), pages 21582440221, October.
    5. Schryen, Guido, 2020. "Parallel computational optimization in operations research: A new integrative framework, literature review and research directions," European Journal of Operational Research, Elsevier, vol. 287(1), pages 1-18.

  19. Wauters, Mathieu & Vanhoucke, Mario, 2017. "A Nearest Neighbour extension to project duration forecasting with Artificial Intelligence," European Journal of Operational Research, Elsevier, vol. 259(3), pages 1097-1111.

    Cited by:

    1. Ariyaluran Habeeb, Riyaz Ahamed & Nasaruddin, Fariza & Gani, Abdullah & Targio Hashem, Ibrahim Abaker & Ahmed, Ejaz & Imran, Muhammad, 2019. "Real-time big data processing for anomaly detection: A Survey," International Journal of Information Management, Elsevier, vol. 45(C), pages 289-307.
    2. Mohammad Hossein Haghighi & Maryam Ashrafi, 2024. "A novel framework for risk management of software projects by integrating a new COPRAS method under cloud model and machine learning algorithms," Annals of Operations Research, Springer, vol. 338(1), pages 675-708, July.
    3. Ünsal-Altuncan, Izel & Vanhoucke, Mario, 2024. "A hybrid forecasting model to predict the duration and cost performance of projects with Bayesian Networks," European Journal of Operational Research, Elsevier, vol. 315(2), pages 511-527.
    4. Servranckx, Tom & Vanhoucke, Mario & Aouam, Tarik, 2021. "Practical application of reference class forecasting for cost and time estimations: Identifying the properties of similarity," European Journal of Operational Research, Elsevier, vol. 295(3), pages 1161-1179.
    5. Thordur Vikingur Fridgeirsson & Helgi Thor Ingason & Haukur Ingi Jonasson & Hildur Jonsdottir, 2021. "An Authoritative Study on the Near Future Effect of Artificial Intelligence on Project Management Knowledge Areas," Sustainability, MDPI, vol. 13(4), pages 1-20, February.

  20. Cédric Verbeeck & Vincent Peteghem & Mario Vanhoucke & Pieter Vansteenwegen & El-Houssaine Aghezzaf, 2017. "A metaheuristic solution approach for the time-constrained project scheduling problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(2), pages 353-371, March.

    Cited by:

    1. Hartmann, Sönke & Briskorn, Dirk, 2022. "An updated survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 297(1), pages 1-14.
    2. Patrick Gerhards, 2020. "The multi-mode resource investment problem: a benchmark library and a computational study of lower and upper bounds," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(4), pages 901-933, December.
    3. Györgyi, Péter & Kis, Tamás, 2020. "A common approximation framework for early work, late work, and resource leveling problems," European Journal of Operational Research, Elsevier, vol. 286(1), pages 129-137.

  21. Broos Maenhout & Mario Vanhoucke, 2017. "A resource type analysis of the integrated project scheduling and personnel staffing problem," Annals of Operations Research, Springer, vol. 252(2), pages 407-433, May.

    Cited by:

    1. Hongbo Li & Hanyu Zhu & Linwen Zheng & Fang Xie, 2024. "Software project scheduling under activity duration uncertainty," Annals of Operations Research, Springer, vol. 338(1), pages 477-512, July.
    2. Mick Van Den Eeckhout & Broos Maenhout & Mario Vanhoucke, 2020. "Mode generation rules to define activity flexibility for the integrated project staffing problem with discrete time/resource trade-offs," Annals of Operations Research, Springer, vol. 292(1), pages 133-160, September.

  22. Martens, Annelies & Vanhoucke, Mario, 2017. "A buffer control method for top-down project control," European Journal of Operational Research, Elsevier, vol. 262(1), pages 274-286.

    Cited by:

    1. Martens, Annelies & Vanhoucke, Mario, 2019. "The impact of applying effort to reduce activity variability on the project time and cost performance," European Journal of Operational Research, Elsevier, vol. 277(2), pages 442-453.
    2. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2022. "Using Earned Value Management and Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 297(2), pages 451-466.
    3. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2020. "The impact of a limited budget on the corrective action taking process," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1070-1086.

  23. Kerkhove, L.P. & Vanhoucke, M., 2016. "Incentive contract design for projects: The owner׳s perspective," Omega, Elsevier, vol. 62(C), pages 93-114.

    Cited by:

    1. Zhihua Chen & Yanfei Lan & Ruiqing Zhao & Changjing Shang, 2019. "Deadline-based incentive contracts in project management with cost salience," Fuzzy Optimization and Decision Making, Springer, vol. 18(4), pages 451-473, December.
    2. Haikun Han & Juqin Shen & Bo Liu & Han Han, 2022. "Dynamic Incentive Mechanism for Large-scale Projects Based on the Reputation Effects," SAGE Open, , vol. 12(4), pages 21582440221, October.
    3. Palit, Niladri & Brint, Andrew, 2020. "The effect of risk aversion on the optimal project resource rate," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1092-1104.

  24. Len Vandenheede & Mario Vanhoucke & Broos Maenhout, 2016. "A scatter search for the extended resource renting problem," International Journal of Production Research, Taylor & Francis Journals, vol. 54(16), pages 4723-4743, August.

    Cited by:

    1. Briskorn, Dirk & Davari, Morteza & Matuschke, Jannik, 2021. "Single-machine scheduling with an external resource," European Journal of Operational Research, Elsevier, vol. 293(2), pages 457-468.

  25. Vanhoucke, Mario & Colin, Jeroen, 2016. "On the use of multivariate regression methods for longest path calculations from earned value management observations," Omega, Elsevier, vol. 61(C), pages 127-140.

    Cited by:

    1. Mohammadreza Sharifi Ghazvini & Vahidreza Ghezavati & Sadigh Raissi & Ahmad Makui, 2017. "An Integrated Efficiency–Risk Approach in Sustainable Project Control," Sustainability, MDPI, vol. 9(9), pages 1-20, September.
    2. Martens, Annelies & Vanhoucke, Mario, 2017. "A buffer control method for top-down project control," European Journal of Operational Research, Elsevier, vol. 262(1), pages 274-286.
    3. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2022. "Using Earned Value Management and Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 297(2), pages 451-466.

  26. Vanhoucke, Mario & Coelho, José, 2016. "An approach using SAT solvers for the RCPSP with logical constraints," European Journal of Operational Research, Elsevier, vol. 249(2), pages 577-591.

    Cited by:

    1. Zhu, Xia & Ruiz, Rubén & Li, Shiyu & Li, Xiaoping, 2017. "An effective heuristic for project scheduling with resource availability cost," European Journal of Operational Research, Elsevier, vol. 257(3), pages 746-762.
    2. Hartmann, Sönke & Briskorn, Dirk, 2022. "An updated survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 297(1), pages 1-14.
    3. Kaut, Michal & Vaagen, Hajnalka & Wallace, Stein W., 2021. "The combined impact of stochastic and correlated activity durations and design uncertainty on project plans," International Journal of Production Economics, Elsevier, vol. 233(C).
    4. Hongbo Li & Linwen Zheng & Hanyu Zhu, 2023. "Resource leveling in projects with flexible structures," Annals of Operations Research, Springer, vol. 321(1), pages 311-342, February.
    5. Servranckx, Tom & Vanhoucke, Mario, 2019. "Strategies for project scheduling with alternative subgraphs under uncertainty: similar and dissimilar sets of schedules," European Journal of Operational Research, Elsevier, vol. 279(1), pages 38-53.
    6. Servranckx, Tom & Vanhoucke, Mario, 2019. "A tabu search procedure for the resource-constrained project scheduling problem with alternative subgraphs," European Journal of Operational Research, Elsevier, vol. 273(3), pages 841-860.
    7. Hajdu M. & Isaac S., 2016. "Sixty years of project planning: history and future," Organization, Technology and Management in Construction, Sciendo, vol. 8(1), pages 1499-1510, December.
    8. Servranckx, Tom & Coelho, José & Vanhoucke, Mario, 2024. "A genetic algorithm for the Resource-Constrained Project Scheduling Problem with Alternative Subgraphs using a boolean satisfiability solver," European Journal of Operational Research, Elsevier, vol. 316(3), pages 815-827.

  27. Brecht Cardoen & Jeroen Beliën & Mario Vanhoucke, 2015. "On the design of custom packs: grouping of medical disposable items for surgeries," International Journal of Production Research, Taylor & Francis Journals, vol. 53(24), pages 7343-7359, December.

    Cited by:

    1. Behzad Zahiri & Mir Saman Pishvaee, 2017. "Blood supply chain network design considering blood group compatibility under uncertainty," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 2013-2033, April.
    2. Daniel Gartner & Yiye Zhang & Rema Padman, 2018. "Cognitive workload reduction in hospital information systems," Health Care Management Science, Springer, vol. 21(2), pages 224-243, June.

  28. Pieter Leyman & Mario Vanhoucke, 2015. "A new scheduling technique for the resource–constrained project scheduling problem with discounted cash flows," International Journal of Production Research, Taylor & Francis Journals, vol. 53(9), pages 2771-2786, May.

    Cited by:

    1. Hartmann, Sönke & Briskorn, Dirk, 2022. "An updated survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 297(1), pages 1-14.
    2. Luis F. Machado-Domínguez & Carlos D. Paternina-Arboleda & Jorge I. Vélez & Agustín Barrios-Sarmiento, 2022. "An adaptative bacterial foraging optimization algorithm for solving the MRCPSP with discounted cash flows," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(2), pages 221-248, July.
    3. Canca, David & Andrade-Pineda, José Luis & De-Los-Santos, Alicia & González-R, Pedro Luis, 2021. "A quantitative approach for the long-term assessment of Railway Rapid Transit network construction or expansion projects," European Journal of Operational Research, Elsevier, vol. 294(2), pages 604-621.
    4. Alessandro Hill & Andrea J. Brickey & Italo Cipriano & Marcos Goycoolea & Alexandra Newman, 2022. "Optimization Strategies for Resource-Constrained Project Scheduling Problems in Underground Mining," INFORMS Journal on Computing, INFORMS, vol. 34(6), pages 3042-3058, November.
    5. Leyman, Pieter & Vanhoucke, Mario, 2017. "Capital- and resource-constrained project scheduling with net present value optimization," European Journal of Operational Research, Elsevier, vol. 256(3), pages 757-776.

  29. Van Peteghem, Vincent & Vanhoucke, Mario, 2014. "An experimental investigation of metaheuristics for the multi-mode resource-constrained project scheduling problem on new dataset instances," European Journal of Operational Research, Elsevier, vol. 235(1), pages 62-72.
    See citations under working paper version above.
  30. Colin, Jeroen & Vanhoucke, Mario, 2014. "Setting tolerance limits for statistical project control using earned value management," Omega, Elsevier, vol. 49(C), pages 107-122.

    Cited by:

    1. Wauters, Mathieu & Vanhoucke, Mario, 2017. "A Nearest Neighbour extension to project duration forecasting with Artificial Intelligence," European Journal of Operational Research, Elsevier, vol. 259(3), pages 1097-1111.
    2. Vanhoucke, Mario & Colin, Jeroen, 2016. "On the use of multivariate regression methods for longest path calculations from earned value management observations," Omega, Elsevier, vol. 61(C), pages 127-140.
    3. Mohammadreza Sharifi Ghazvini & Vahidreza Ghezavati & Sadigh Raissi & Ahmad Makui, 2017. "An Integrated Efficiency–Risk Approach in Sustainable Project Control," Sustainability, MDPI, vol. 9(9), pages 1-20, September.
    4. Womer, K. & Li, H. & Camm, J. & Osterman, C. & Radhakrishnan, R., 2017. "Learning and Bayesian updating in long cycle made-to-order (MTO) production," Omega, Elsevier, vol. 69(C), pages 29-42.
    5. Merkourios Papanikolaou & Yiannis Xenidis, 2020. "Risk-Informed Performance Assessment of Construction Projects," Sustainability, MDPI, vol. 12(13), pages 1-20, July.
    6. Martens, Annelies & Vanhoucke, Mario, 2017. "A buffer control method for top-down project control," European Journal of Operational Research, Elsevier, vol. 262(1), pages 274-286.
    7. Cohen, Izack & Iluz, Michal, 2015. "When cost–effective design strategies are not enough: Evidence from an experimental study on the role of redundant goals," Omega, Elsevier, vol. 56(C), pages 99-111.
    8. Martens, Annelies & Vanhoucke, Mario, 2019. "The impact of applying effort to reduce activity variability on the project time and cost performance," European Journal of Operational Research, Elsevier, vol. 277(2), pages 442-453.
    9. Lenah Cleo Kelepile, 2024. "A Comprehensive Analysis of Monitoring and Control Mechanisms in Operational Relocation Project at Limkokwing University, Botswana," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(5), pages 1759-1771, May.
    10. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2022. "Using Earned Value Management and Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 297(2), pages 451-466.
    11. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2020. "The impact of a limited budget on the corrective action taking process," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1070-1086.
    12. Plaza, Malgorzata, 2016. "Balancing the costs of human resources on an ERP project," Omega, Elsevier, vol. 59(PB), pages 171-183.

  31. Maenhout, Broos & Vanhoucke, Mario, 2013. "Reconstructing nurse schedules: Computational insights in the problem size parameters," Omega, Elsevier, vol. 41(5), pages 903-918.

    Cited by:

    1. Pieter Smet & Annelies Lejon & Greet Vanden Berghe, 2021. "Demand smoothing in shift design," Flexible Services and Manufacturing Journal, Springer, vol. 33(2), pages 457-484, June.
    2. Wolbeck, Lena & Kliewer, Natalia & Marques, Inês, 2020. "Fair shift change penalization scheme for nurse rescheduling problems," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1121-1135.
    3. Caballini, Claudia & Paolucci, Massimo, 2020. "A rostering approach to minimize health risks for workers: An application to a container terminal in the Italian port of Genoa," Omega, Elsevier, vol. 95(C).
    4. Ingels, Jonas & Maenhout, Broos, 2019. "Optimised buffer allocation to construct stable personnel shift rosters," Omega, Elsevier, vol. 82(C), pages 102-117.
    5. Ana Paias & Marta Mesquita & Margarida Moz & Margarida Pato, 2021. "A network flow-based algorithm for bus driver rerostering," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(2), pages 543-576, June.
    6. Maenhout, Broos & Vanhoucke, Mario, 2018. "A perturbation matheuristic for the integrated personnel shift and task re-scheduling problem," European Journal of Operational Research, Elsevier, vol. 269(3), pages 806-823.

  32. Maenhout, Broos & Vanhoucke, Mario, 2013. "An integrated nurse staffing and scheduling analysis for longer-term nursing staff allocation problems," Omega, Elsevier, vol. 41(2), pages 485-499.

    Cited by:

    1. Silke Jütte & Daniel Müller & Ulrich W. Thonemann, 2017. "Optimizing railway crew schedules with fairness preferences," Journal of Scheduling, Springer, vol. 20(1), pages 43-55, February.
    2. Pei, Zhi & Dai, Xu & Yuan, Yilun & Du, Rui & Liu, Changchun, 2021. "Managing price and fleet size for courier service with shared drones," Omega, Elsevier, vol. 104(C).
    3. Ağralı, Semra & Taşkın, Z. Caner & Ünal, A. Tamer, 2017. "Employee scheduling in service industries with flexible employee availability and demand," Omega, Elsevier, vol. 66(PA), pages 159-169.
    4. Volland, Jonas & Fügener, Andreas & Brunner, Jens O., 2017. "A column generation approach for the integrated shift and task scheduling problem of logistics assistants in hospitals," European Journal of Operational Research, Elsevier, vol. 260(1), pages 316-334.
    5. Komarudin & Tim De Feyter & Marie-Anne Guerry & Greet Vanden Berghe, 2020. "The extended roster quality staffing problem: addressing roster quality variation within a staffing planning period," Journal of Scheduling, Springer, vol. 23(2), pages 253-264, April.
    6. Damcı-Kurt, Pelin & Zhang, Minjiao & Marentay, Brian & Govind, Nirmal, 2019. "Improving physician schedules by leveraging equalization: Cases from hospitals in U.S," Omega, Elsevier, vol. 85(C), pages 182-193.
    7. Cardoso, Teresa & Oliveira, Mónica Duarte & Barbosa-Póvoa, Ana & Nickel, Stefan, 2016. "Moving towards an equitable long-term care network: A multi-objective and multi-period planning approach," Omega, Elsevier, vol. 58(C), pages 69-85.
    8. He, Fang & Chaussalet, Thierry & Qu, Rong, 2019. "Controlling understaffing with conditional Value-at-Risk constraint for an integrated nurse scheduling problem under patient demand uncertainty," Operations Research Perspectives, Elsevier, vol. 6(C).
    9. Turhan, Aykut Melih & Bilgen, Bilge, 2022. "A mat-heuristic based solution approach for an extended nurse rostering problem with skills and units," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    10. Van den Bergh, Jorne & Beliën, Jeroen & De Bruecker, Philippe & Demeulemeester, Erik & De Boeck, Liesje, 2013. "Personnel scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 226(3), pages 367-385.
    11. De Bruecker, Philippe & Van den Bergh, Jorne & Beliën, Jeroen & Demeulemeester, Erik, 2015. "Workforce planning incorporating skills: State of the art," European Journal of Operational Research, Elsevier, vol. 243(1), pages 1-16.
    12. Dominic J. Breuer & Shashank Kapadia & Nadia Lahrichi & James C. Benneyan, 2022. "Joint robust optimization of bed capacity, nurse staffing, and care access under uncertainty," Annals of Operations Research, Springer, vol. 312(2), pages 673-689, May.
    13. Halil İbrahim Koruca & Murat Serdar Emek & Esra Gulmez, 2023. "Development of a new personalized staff-scheduling method with a work-life balance perspective: case of a hospital," Annals of Operations Research, Springer, vol. 328(1), pages 793-820, September.
    14. Fügener, Andreas & Pahr, Alexander & Brunner, Jens O., 2018. "Mid-term nurse rostering considering cross-training effects," International Journal of Production Economics, Elsevier, vol. 196(C), pages 176-187.
    15. Salazar-González, Juan-José, 2014. "Approaches to solve the fleet-assignment, aircraft-routing, crew-pairing and crew-rostering problems of a regional carrier," Omega, Elsevier, vol. 43(C), pages 71-82.
    16. Tamara Borreguero Sanchidrián & Tom Portoleau & Christian Artigues & Alvaro García Sánchez & Miguel Ortega Mier & Pierre Lopez, 2024. "Large neighborhood search for an aeronautical assembly line time-constrained scheduling problem with multiple modes and a resource leveling objective," Annals of Operations Research, Springer, vol. 338(1), pages 13-40, July.
    17. Moosavi, Amirhossein & Ozturk, Onur & Patrick, Jonathan, 2022. "Staff scheduling for residential care under pandemic conditions: The case of COVID-19," Omega, Elsevier, vol. 112(C).
    18. Defraeye, Mieke & Van Nieuwenhuyse, Inneke, 2016. "Staffing and scheduling under nonstationary demand for service: A literature review," Omega, Elsevier, vol. 58(C), pages 4-25.
    19. Xue, Li & Luo, Zhixing & Lim, Andrew, 2016. "Exact approaches for the pickup and delivery problem with loading cost," Omega, Elsevier, vol. 59(PB), pages 131-145.
    20. Akbarzadeh, Babak & Moslehi, Ghasem & Reisi-Nafchi, Mohammad & Maenhout, Broos, 2019. "The re-planning and scheduling of surgical cases in the operating room department after block release time with resource rescheduling," European Journal of Operational Research, Elsevier, vol. 278(2), pages 596-614.
    21. Parisio, Alessandra & Neil Jones, Colin, 2015. "A two-stage stochastic programming approach to employee scheduling in retail outlets with uncertain demand," Omega, Elsevier, vol. 53(C), pages 97-103.
    22. Örmeci, E. Lerzan & Salman, F. Sibel & Yücel, Eda, 2014. "Staff rostering in call centers providing employee transportation," Omega, Elsevier, vol. 43(C), pages 41-53.
    23. Liping Zhou & Na Geng & Zhibin Jiang & Shan Jiang, 2022. "Integrated Multiresource Capacity Planning and Multitype Patient Scheduling," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 129-149, January.
    24. Cardoso, Teresa & Oliveira, Mónica Duarte & Barbosa-Póvoa, Ana & Nickel, Stefan, 2015. "An integrated approach for planning a long-term care network with uncertainty, strategic policy and equity considerations," European Journal of Operational Research, Elsevier, vol. 247(1), pages 321-334.
    25. Restrepo, María I. & Rousseau, Louis-Martin & Vallée, Jonathan, 2020. "Home healthcare integrated staffing and scheduling," Omega, Elsevier, vol. 95(C).
    26. Perla, Abhinav & Nikolaev, Alexander & Pasiliao, Eduardo, 2018. "Workforce management under social Link Based Corruption," Omega, Elsevier, vol. 78(C), pages 222-236.
    27. Jose Pedro Garcia-Sabater & Julien Maheut & Angel Ruiz & Julio Juan Garcia-Sabater, 2020. "A Framework for Capacity and Operations Planning in Services Organizations Employing Workers with Intellectual Disabilities," Sustainability, MDPI, vol. 12(22), pages 1-17, November.
    28. Wang, Wenshu & Xie, Kexin & Guo, Siqi & Li, Weixing & Xiao, Fan & Liang, Zhe, 2023. "A shift-based model to solve the integrated staff rostering and task assignment problem with real-world requirements," European Journal of Operational Research, Elsevier, vol. 310(1), pages 360-378.
    29. B. Maenhout & M. Vanhoucke, 2009. "Analyzing the Nursing Organizational Structure and Process from a Scheduling Perspective," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/587, Ghent University, Faculty of Economics and Business Administration.
    30. de la Torre, R. & Lusa, A. & Mateo, M., 2016. "A MILP model for the long term academic staff size and composition planning in public universities," Omega, Elsevier, vol. 63(C), pages 1-11.

  33. Broos Maenhout & Mario Vanhoucke, 2013. "Analyzing the nursing organizational structure and process from a scheduling perspective," Health Care Management Science, Springer, vol. 16(3), pages 177-196, September.
    See citations under working paper version above.
  34. Sels, Veronique & Craeymeersch, Kjeld & Vanhoucke, Mario, 2011. "A hybrid single and dual population search procedure for the job shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 215(3), pages 512-523, December.
    See citations under working paper version above.
  35. Vanhoucke, Mario, 2011. "On the dynamic use of project performance and schedule risk information during projecttracking," Omega, Elsevier, vol. 39(4), pages 416-426, August.

    Cited by:

    1. Wauters, Mathieu & Vanhoucke, Mario, 2017. "A Nearest Neighbour extension to project duration forecasting with Artificial Intelligence," European Journal of Operational Research, Elsevier, vol. 259(3), pages 1097-1111.
    2. Georgios K. Koulinas & Olympia E. Demesouka & Konstantinos A. Sidas & Dimitrios E. Koulouriotis, 2021. "A TOPSIS—Risk Matrix and Monte Carlo Expert System for Risk Assessment in Engineering Projects," Sustainability, MDPI, vol. 13(20), pages 1-14, October.
    3. Vanhoucke, Mario & Colin, Jeroen, 2016. "On the use of multivariate regression methods for longest path calculations from earned value management observations," Omega, Elsevier, vol. 61(C), pages 127-140.
    4. Cui, Nanfang & Demeulemeester, Erik & Bie, Li, 2016. "Incorporation of activity sensitivity measures into buffer management to manage project schedule riskAuthor-Name: Hu, Xuejun," European Journal of Operational Research, Elsevier, vol. 249(2), pages 717-727.
    5. Richard E. Wendell & Timothy J. Lowe & Mike M. Gordon, 2023. "Dangers in using earned duration and other earned value metrics to measure a project’s schedule performance," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(2), pages 665-680, June.
    6. Umar Altahtooh & Thamir Alaskar, 2018. "Understanding Relationship between Milestone and Decision-Making in Project Management: A Qualitative Study among Project Managers in Saudi Arabia," International Journal of Business and Management, Canadian Center of Science and Education, vol. 13(8), pages 184-184, June.
    7. Xing Pan & Lunhu Hu & Ziling Xin & Shenghan Zhou & Yanmei Lin & Yong Wu, 2018. "Risk Scenario Generation Based on Importance Measure Analysis," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    8. Womer, K. & Li, H. & Camm, J. & Osterman, C. & Radhakrishnan, R., 2017. "Learning and Bayesian updating in long cycle made-to-order (MTO) production," Omega, Elsevier, vol. 69(C), pages 29-42.
    9. Fernando Acebes & Javier Pajares & José M. González-Varona & Adolfo López-Paredes, 2021. "Project risk management from the bottom-up: Activity Risk Index," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(4), pages 1375-1396, December.
    10. Fernando Acebes & Javier Pajares & Jose M Gonzalez-Varona & Adolfo Lopez-Paredes, 2024. "Project Risk Management from the bottom-up: Activity Risk Index," Papers 2406.00078, arXiv.org.
    11. Georgios K. Koulinas & Alexandros S. Xanthopoulos & Konstantinos A. Sidas & Dimitrios E. Koulouriotis, 2021. "Risks Ranking in a Desalination Plant Construction Project with a Hybrid AHP, Risk Matrix, and Simulation-Based Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(10), pages 3221-3233, August.
    12. Colin, Jeroen & Vanhoucke, Mario, 2014. "Setting tolerance limits for statistical project control using earned value management," Omega, Elsevier, vol. 49(C), pages 107-122.
    13. Martens, Annelies & Vanhoucke, Mario, 2017. "A buffer control method for top-down project control," European Journal of Operational Research, Elsevier, vol. 262(1), pages 274-286.
    14. Narjes Sabeghi & Hamed Reza Tareghian, 2020. "Using the generalized maximum covering location model to control a project’s progress," Computational Management Science, Springer, vol. 17(1), pages 1-21, January.
    15. Fernando Acebes & David Poza & Jose M Gonzalez-Varona & Javier Pajares & Adolfo Lopez-Paredes, 2024. "On the project risk baseline: integrating aleatory uncertainty into project scheduling," Papers 2406.00077, arXiv.org.
    16. Ö Hazır & A Shtub, 2011. "Effects of the information presentation format on project control," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(12), pages 2157-2161, December.
    17. Cohen, Izack & Iluz, Michal, 2015. "When cost–effective design strategies are not enough: Evidence from an experimental study on the role of redundant goals," Omega, Elsevier, vol. 56(C), pages 99-111.
    18. Martens, Annelies & Vanhoucke, Mario, 2019. "The impact of applying effort to reduce activity variability on the project time and cost performance," European Journal of Operational Research, Elsevier, vol. 277(2), pages 442-453.
    19. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2022. "Using Earned Value Management and Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 297(2), pages 451-466.
    20. Lenah Cleo Kelepile, 2024. "A Comprehensive Analysis of Monitoring and Control Mechanisms in Operational Relocation Project at Limkokwing University, Botswana," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(5), pages 1759-1771, May.
    21. She, Bingling & Chen, Bo & Hall, Nicholas G., 2021. "Buffer sizing in critical chain project management by network decomposition," Omega, Elsevier, vol. 102(C).
    22. Vaseghi, Forough & Martens, Annelies & Vanhoucke, Mario, 2024. "Analysis of the impact of corrective actions for stochastic project networks," European Journal of Operational Research, Elsevier, vol. 316(2), pages 503-518.
    23. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2021. "Using Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 288(3), pages 736-752.
    24. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2020. "The impact of a limited budget on the corrective action taking process," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1070-1086.
    25. Plaza, Malgorzata, 2016. "Balancing the costs of human resources on an ERP project," Omega, Elsevier, vol. 59(PB), pages 171-183.

  36. Coelho, José & Vanhoucke, Mario, 2011. "Multi-mode resource-constrained project scheduling using RCPSP and SAT solvers," European Journal of Operational Research, Elsevier, vol. 213(1), pages 73-82, August.
    See citations under working paper version above.
  37. Vanhoucke, Mario, 2010. "Using activity sensitivity and network topology information to monitor project time performance," Omega, Elsevier, vol. 38(5), pages 359-370, October.

    Cited by:

    1. Wauters, Mathieu & Vanhoucke, Mario, 2017. "A Nearest Neighbour extension to project duration forecasting with Artificial Intelligence," European Journal of Operational Research, Elsevier, vol. 259(3), pages 1097-1111.
    2. Cui, Nanfang & Demeulemeester, Erik & Bie, Li, 2016. "Incorporation of activity sensitivity measures into buffer management to manage project schedule riskAuthor-Name: Hu, Xuejun," European Journal of Operational Research, Elsevier, vol. 249(2), pages 717-727.
    3. Mick Van Den Eeckhout & Broos Maenhout & Mario Vanhoucke, 2020. "Mode generation rules to define activity flexibility for the integrated project staffing problem with discrete time/resource trade-offs," Annals of Operations Research, Springer, vol. 292(1), pages 133-160, September.
    4. Fernando Acebes & Javier Pajares & José M. González-Varona & Adolfo López-Paredes, 2021. "Project risk management from the bottom-up: Activity Risk Index," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(4), pages 1375-1396, December.
    5. Fernando Acebes & Javier Pajares & Jose M Gonzalez-Varona & Adolfo Lopez-Paredes, 2024. "Project Risk Management from the bottom-up: Activity Risk Index," Papers 2406.00078, arXiv.org.
    6. Zuo, Fei & Zio, Enrico & Xu, Yue, 2023. "Bi-objective optimization of the scheduling of risk-related resources for risk response," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    7. Colin, Jeroen & Vanhoucke, Mario, 2014. "Setting tolerance limits for statistical project control using earned value management," Omega, Elsevier, vol. 49(C), pages 107-122.
    8. Martens, Annelies & Vanhoucke, Mario, 2017. "A buffer control method for top-down project control," European Journal of Operational Research, Elsevier, vol. 262(1), pages 274-286.
    9. Tao, Liangyan & Wu, Desheng & Liu, Sifeng & Lambert, James H., 2017. "Schedule risk analysis for new-product development: The GERT method extended by a characteristic function," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 464-473.
    10. Vanhoucke, Mario, 2011. "On the dynamic use of project performance and schedule risk information during projecttracking," Omega, Elsevier, vol. 39(4), pages 416-426, August.
    11. Ünsal-Altuncan, Izel & Vanhoucke, Mario, 2024. "A hybrid forecasting model to predict the duration and cost performance of projects with Bayesian Networks," European Journal of Operational Research, Elsevier, vol. 315(2), pages 511-527.
    12. Martens, Annelies & Vanhoucke, Mario, 2019. "The impact of applying effort to reduce activity variability on the project time and cost performance," European Journal of Operational Research, Elsevier, vol. 277(2), pages 442-453.
    13. Stefan Creemers & Erik Demeulemeester & Stijn Vonder, 2014. "A new approach for quantitative risk analysis," Annals of Operations Research, Springer, vol. 213(1), pages 27-65, February.
    14. She, Bingling & Chen, Bo & Hall, Nicholas G., 2021. "Buffer sizing in critical chain project management by network decomposition," Omega, Elsevier, vol. 102(C).
    15. Zhenhua Hu & Shanshan Jin & Ziyue Hu & Degen Lin, 2022. "Research on Attention Allocation of Land Policy System Reform: A Comparative Analysis Based on Central No. 1 Documents of China," Sustainability, MDPI, vol. 14(23), pages 1-16, November.
    16. Vaseghi, Forough & Martens, Annelies & Vanhoucke, Mario, 2024. "Analysis of the impact of corrective actions for stochastic project networks," European Journal of Operational Research, Elsevier, vol. 316(2), pages 503-518.
    17. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2021. "Using Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 288(3), pages 736-752.
    18. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2020. "The impact of a limited budget on the corrective action taking process," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1070-1086.
    19. Plaza, Malgorzata, 2016. "Balancing the costs of human resources on an ERP project," Omega, Elsevier, vol. 59(PB), pages 171-183.
    20. Zarghami, Seyed Ashkan & Dumrak, Jantanee, 2021. "Aleatory uncertainty quantification of project resources and its application to project scheduling," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    21. Junguang Zhang & Dan Wan, 2021. "Determination of early warning time window for bottleneck resource buffer," Annals of Operations Research, Springer, vol. 300(1), pages 289-305, May.

  38. Maenhout, Broos & Vanhoucke, Mario, 2010. "A hybrid scatter search heuristic for personalized crew rostering in the airline industry," European Journal of Operational Research, Elsevier, vol. 206(1), pages 155-167, October.
    See citations under working paper version above.
  39. Peteghem, Vincent Van & Vanhoucke, Mario, 2010. "A genetic algorithm for the preemptive and non-preemptive multi-mode resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 201(2), pages 409-418, March.

    Cited by:

    1. Wendi Tian & Erik Demeulemeester, 2014. "Railway scheduling reduces the expected project makespan over roadrunner scheduling in a multi-mode project scheduling environment," Annals of Operations Research, Springer, vol. 213(1), pages 271-291, February.
    2. Ben Issa, Samer & Patterson, Raymond A. & Tu, Yiliu, 2021. "Solving resource-constrained multi-project environment under different activity assumptions," International Journal of Production Economics, Elsevier, vol. 232(C).
    3. Hartmann, Sönke & Briskorn, Dirk, 2022. "An updated survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 297(1), pages 1-14.
    4. T Wauters & K Verbeeck & G Vanden Berghe & P De Causmaecker, 2011. "Learning agents for the multi-mode project scheduling problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(2), pages 281-290, February.
    5. Hamid R. Yoosefzadeh & Hamed R. Tareghian & Mohammad H. Farahi, 2014. "Multidirectional scheduling scheme in resource‐constrained project schedulingproblem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(1), pages 44-55, February.
    6. Behrad Barghi & Shahram Shadrokh Sikari, 2022. "Meta-heuristic Solution with Considering Setup Time for Multi-Skilled Project Scheduling Problem," SN Operations Research Forum, Springer, vol. 3(1), pages 1-23, March.
    7. Alfredo S. Ramos & Pablo A. Miranda-Gonzalez & Samuel Nucamendi-Guillén & Elias Olivares-Benitez, 2023. "A Formulation for the Stochastic Multi-Mode Resource-Constrained Project Scheduling Problem Solved with a Multi-Start Iterated Local Search Metaheuristic," Mathematics, MDPI, vol. 11(2), pages 1-25, January.
    8. Nima Zoraghi & Aria Shahsavar & Babak Abbasi & Vincent Peteghem, 2017. "Multi-mode resource-constrained project scheduling problem with material ordering under bonus–penalty policies," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(1), pages 49-79, April.
    9. Messelis, Tommy & De Causmaecker, Patrick, 2014. "An automatic algorithm selection approach for the multi-mode resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 233(3), pages 511-528.
    10. Luis F. Machado-Domínguez & Carlos D. Paternina-Arboleda & Jorge I. Vélez & Agustin Barrios-Sarmiento, 2021. "A memetic algorithm to address the multi-node resource-constrained project scheduling problem," Journal of Scheduling, Springer, vol. 24(4), pages 413-429, August.
    11. Coelho, José & Vanhoucke, Mario, 2011. "Multi-mode resource-constrained project scheduling using RCPSP and SAT solvers," European Journal of Operational Research, Elsevier, vol. 213(1), pages 73-82, August.
    12. Luis F. Machado-Domínguez & Carlos D. Paternina-Arboleda & Jorge I. Vélez & Agustín Barrios-Sarmiento, 2022. "An adaptative bacterial foraging optimization algorithm for solving the MRCPSP with discounted cash flows," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(2), pages 221-248, July.
    13. Nadia Chaudry & Ingunn Vermedal & Kjetil Fagerholt & Maria Fleischer Fauske & Magnus Stålhane, 2020. "A decomposition solution approach to the troops-to-tasks assignment in military peacekeeping operations," The Journal of Defense Modeling and Simulation, , vol. 17(4), pages 357-371, October.
    14. Kellenbrink, Carolin & Helber, Stefan, 2015. "Scheduling resource-constrained projects with a flexible project structure," European Journal of Operational Research, Elsevier, vol. 246(2), pages 379-391.
    15. Jerzy Rosłon & Mariola Książek-Nowak & Paweł Nowak, 2020. "Schedules Optimization with the Use of Value Engineering and NPV Maximization," Sustainability, MDPI, vol. 12(18), pages 1-20, September.
    16. Weglarz, Jan & Józefowska, Joanna & Mika, Marek & Waligóra, Grzegorz, 2011. "Project scheduling with finite or infinite number of activity processing modes - A survey," European Journal of Operational Research, Elsevier, vol. 208(3), pages 177-205, February.
    17. Castro, Pedro M. & Harjunkoski, Iiro & Grossmann, Ignacio E., 2019. "Discrete and continuous-time formulations for dealing with break periods: Preemptive and non-preemptive scheduling," European Journal of Operational Research, Elsevier, vol. 278(2), pages 563-577.
    18. Moukrim, Aziz & Quilliot, Alain & Toussaint, Hélène, 2015. "An effective branch-and-price algorithm for the Preemptive Resource Constrained Project Scheduling Problem based on minimal Interval Order Enumeration," European Journal of Operational Research, Elsevier, vol. 244(2), pages 360-368.
    19. Balouka, Noemie & Cohen, Izack, 2021. "A robust optimization approach for the multi-mode resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 291(2), pages 457-470.
    20. Cheng, Yung-Hsiang & Liang, Zheng-Xian, 2014. "A strategic planning model for the railway system accident rescue problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 69(C), pages 75-96.
    21. V. Van Peteghem & M. Vanhoucke, 2011. "An Experimental Investigation of Metaheuristics for the Multi-Mode Resource-Constrained Project Scheduling Problem on New Dataset Instances," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/758, Ghent University, Faculty of Economics and Business Administration.
    22. S. Acharyya & A. K. Datta, 2020. "Matching formulation of the Staff Transfer Problem: meta-heuristic approaches," OPSEARCH, Springer;Operational Research Society of India, vol. 57(3), pages 629-668, September.
    23. Quintanilla, Sacramento & Pérez, Ángeles & Lino, Pilar & Valls, Vicente, 2012. "Time and work generalised precedence relationships in project scheduling with pre-emption: An application to the management of Service Centres," European Journal of Operational Research, Elsevier, vol. 219(1), pages 59-72.
    24. Alireza Etminaniesfahani & Hanyu Gu & Leila Moslemi Naeni & Amir Salehipour, 2024. "An efficient relax-and-solve method for the multi-mode resource constrained project scheduling problem," Annals of Operations Research, Springer, vol. 338(1), pages 41-68, July.
    25. Fündeling, C.-U. & Trautmann, N., 2010. "A priority-rule method for project scheduling with work-content constraints," European Journal of Operational Research, Elsevier, vol. 203(3), pages 568-574, June.
    26. Abdollah Arasteh, 2020. "Considering Project Management Activities for Engineering Design Groups," SN Operations Research Forum, Springer, vol. 1(4), pages 1-29, December.
    27. Arda Turkgenci & Huseyin Guden & Mehmet Gülşen, 2021. "Decomposition based extended project scheduling for make-to-order production," Operational Research, Springer, vol. 21(2), pages 801-825, June.
    28. Dayal Madhukar & Verma, Sanjay, 2014. "Breadth-first and Best-first Exact Procedures for Regular Measures of the Multi-mode RCPSP," IIMA Working Papers WP2014-10-04, Indian Institute of Management Ahmedabad, Research and Publication Department.
    29. Geiger, Martin Josef, 2017. "A multi-threaded local search algorithm and computer implementation for the multi-mode, resource-constrained multi-project scheduling problem," European Journal of Operational Research, Elsevier, vol. 256(3), pages 729-741.
    30. Mohammad Rostami & Morteza Bagherpour, 2020. "A lagrangian relaxation algorithm for facility location of resource-constrained decentralized multi-project scheduling problems," Operational Research, Springer, vol. 20(2), pages 857-897, June.
    31. Aidin Delgoshaei & Timon Rabczuk & Ahad Ali & Mohd Khairol Anuar Ariffin, 2017. "An applicable method for modifying over-allocated multi-mode resource constraint schedules in the presence of preemptive resources," Annals of Operations Research, Springer, vol. 259(1), pages 85-117, December.
    32. He, Naihui & Zhang, David Z. & Yuce, Baris, 2022. "Integrated multi-project planning and scheduling - a multiagent approach," European Journal of Operational Research, Elsevier, vol. 302(2), pages 688-699.
    33. Siqing Shan & Zhongjun Hu & Zhilian Liu & Jihong Shi & Li Wang & Zhuming Bi, 2017. "An adaptive genetic algorithm for demand-driven and resource-constrained project scheduling in aircraft assembly," Information Technology and Management, Springer, vol. 18(1), pages 41-53, March.
    34. Najafzad, Hamid & Davari-Ardakani, Hamed & Nemati-Lafmejani, Reza, 2019. "Multi-skill project scheduling problem under time-of-use electricity tariffs and shift differential payments," Energy, Elsevier, vol. 168(C), pages 619-636.
    35. Rahman Torba & Stéphane Dauzère-Pérès & Claude Yugma & Cédric Gallais & Juliette Pouzet, 2024. "Solving a real-life multi-skill resource-constrained multi-project scheduling problem," Annals of Operations Research, Springer, vol. 338(1), pages 69-114, July.

  40. Vanhoucke, Mario & Maenhout, Broos, 2009. "On the characterization and generation of nurse scheduling problem instances," European Journal of Operational Research, Elsevier, vol. 196(2), pages 457-467, July.

    Cited by:

    1. Wolbeck, Lena Antonia, 2019. "Fairness aspects in personnel scheduling," Discussion Papers 2019/16, Free University Berlin, School of Business & Economics.
    2. Jonas Ingels & Broos Maenhout, 2017. "Employee substitutability as a tool to improve the robustness in personnel scheduling," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(3), pages 623-658, July.
    3. Maenhout, Broos & Vanhoucke, Mario, 2013. "An integrated nurse staffing and scheduling analysis for longer-term nursing staff allocation problems," Omega, Elsevier, vol. 41(2), pages 485-499.
    4. Gréanne Leeftink & Erwin W. Hans, 2018. "Case mix classification and a benchmark set for surgery scheduling," Journal of Scheduling, Springer, vol. 21(1), pages 17-33, February.
    5. Wolbeck, Lena & Kliewer, Natalia & Marques, Inês, 2020. "Fair shift change penalization scheme for nurse rescheduling problems," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1121-1135.
    6. Lai, David S.W. & Leung, Janny M.Y. & Dullaert, Wout & Marques, Inês, 2020. "A graph-based formulation for the shift rostering problem," European Journal of Operational Research, Elsevier, vol. 284(1), pages 285-300.
    7. Ingels, Jonas & Maenhout, Broos, 2019. "Optimised buffer allocation to construct stable personnel shift rosters," Omega, Elsevier, vol. 82(C), pages 102-117.
    8. Patrick De Causmaecker & Greet Vanden Berghe, 2012. "Towards a reference model for timetabling and rostering," Annals of Operations Research, Springer, vol. 194(1), pages 167-176, April.
    9. Peyman Kiani Nahand & Mahdi Hamid & Mahdi Bastan & Ali Mollajan, 2019. "Human resource management: new approach to nurse scheduling by considering human error," 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. 10(6), pages 1429-1443, December.
    10. Maenhout, Broos & Vanhoucke, Mario, 2018. "A perturbation matheuristic for the integrated personnel shift and task re-scheduling problem," European Journal of Operational Research, Elsevier, vol. 269(3), pages 806-823.
    11. Jonas Ingels & Broos Maenhout, 2018. "The impact of overtime as a time-based proactive scheduling and reactive allocation strategy on the robustness of a personnel shift roster," Journal of Scheduling, Springer, vol. 21(2), pages 143-165, April.

  41. B Maenhout & M Vanhoucke, 2009. "The impact of incorporating nurse-specific characteristics in a cyclical scheduling approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(12), pages 1683-1698, December.
    See citations under working paper version above.
  42. Vanhoucke, Mario & Coelho, Jose & Debels, Dieter & Maenhout, Broos & Tavares, Luis V., 2008. "An evaluation of the adequacy of project network generators with systematically sampled networks," European Journal of Operational Research, Elsevier, vol. 187(2), pages 511-524, June.

    Cited by:

    1. Wauters, Mathieu & Vanhoucke, Mario, 2017. "A Nearest Neighbour extension to project duration forecasting with Artificial Intelligence," European Journal of Operational Research, Elsevier, vol. 259(3), pages 1097-1111.
    2. Kosztyán, Zsolt T. & Jakab, Róbert & Novák, Gergely & Hegedűs, Csaba, 2020. "Survive IT! Survival analysis of IT project planning approaches," Operations Research Perspectives, Elsevier, vol. 7(C).
    3. Van Eynde, Rob & Vanhoucke, Mario, 2022. "New summary measures and datasets for the multi-project scheduling problem," European Journal of Operational Research, Elsevier, vol. 299(3), pages 853-868.
    4. Servranckx, Tom & Vanhoucke, Mario, 2019. "A tabu search procedure for the resource-constrained project scheduling problem with alternative subgraphs," European Journal of Operational Research, Elsevier, vol. 273(3), pages 841-860.
    5. Len Vandenheede & Mario Vanhoucke & Broos Maenhout, 2016. "A scatter search for the extended resource renting problem," International Journal of Production Research, Taylor & Francis Journals, vol. 54(16), pages 4723-4743, August.
    6. Colin, Jeroen & Vanhoucke, Mario, 2014. "Setting tolerance limits for statistical project control using earned value management," Omega, Elsevier, vol. 49(C), pages 107-122.
    7. Martens, Annelies & Vanhoucke, Mario, 2017. "A buffer control method for top-down project control," European Journal of Operational Research, Elsevier, vol. 262(1), pages 274-286.
    8. Vanhoucke, Mario, 2011. "On the dynamic use of project performance and schedule risk information during projecttracking," Omega, Elsevier, vol. 39(4), pages 416-426, August.
    9. Ünsal-Altuncan, Izel & Vanhoucke, Mario, 2024. "A hybrid forecasting model to predict the duration and cost performance of projects with Bayesian Networks," European Journal of Operational Research, Elsevier, vol. 315(2), pages 511-527.
    10. Broos Maenhout & Mario Vanhoucke, 2017. "A resource type analysis of the integrated project scheduling and personnel staffing problem," Annals of Operations Research, Springer, vol. 252(2), pages 407-433, May.
    11. T. Meersman & B. Maenhout, 2022. "Multi-objective optimisation for constructing cyclic appointment schedules for elective and urgent patients," Annals of Operations Research, Springer, vol. 312(2), pages 909-948, May.
    12. V. Van Peteghem & M. Vanhoucke, 2011. "An Experimental Investigation of Metaheuristics for the Multi-Mode Resource-Constrained Project Scheduling Problem on New Dataset Instances," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/758, Ghent University, Faculty of Economics and Business Administration.
    13. Tom Rihm & Norbert Trautmann & Adrian Zimmermann, 2018. "MIP formulations for an application of project scheduling in human resource management," Flexible Services and Manufacturing Journal, Springer, vol. 30(4), pages 609-639, December.
    14. Martens, Annelies & Vanhoucke, Mario, 2019. "The impact of applying effort to reduce activity variability on the project time and cost performance," European Journal of Operational Research, Elsevier, vol. 277(2), pages 442-453.
    15. Hongbo Li & Zhe Xu & Wenchao Wei, 2018. "Bi-Objective Scheduling Optimization for Discrete Time/Cost Trade-Off in Projects," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
    16. V. Van Peteghem & M. Vanhoucke, 2009. "Using Resource Scarceness Characteristics to Solve the Multi-Mode Resource-Constrained Project Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/595, Ghent University, Faculty of Economics and Business Administration.
    17. Guo, Weikang & Vanhoucke, Mario & Coelho, José, 2023. "A prediction model for ranking branch-and-bound procedures for the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 306(2), pages 579-595.
    18. Zsolt T. Kosztyán & Eszter Bogdány & István Szalkai & Marcell T. Kurbucz, 2022. "Impacts of synergies on software project scheduling," Annals of Operations Research, Springer, vol. 312(2), pages 883-908, May.
    19. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2022. "Using Earned Value Management and Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 297(2), pages 451-466.
    20. Hartmann, Sönke & Briskorn, Dirk, 2008. "A survey of variants and extensions of the resource-constrained project scheduling problem," Working Paper Series 02/2008, Hamburg School of Business Administration (HSBA).
    21. Snauwaert, Jakob & Vanhoucke, Mario, 2023. "A classification and new benchmark instances for the multi-skilled resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 307(1), pages 1-19.
    22. Chung-Lun Li & Nicholas G. Hall, 2019. "Work Package Sizing and Project Performance," Operations Research, INFORMS, vol. 67(1), pages 123-142, January.
    23. Pfeifer, Jeremy & Barker, Kash & Ramirez-Marquez, Jose E. & Morshedlou, Nazanin, 2015. "Quantifying the risk of project delays with a genetic algorithm," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 34-44.
    24. She, Bingling & Chen, Bo & Hall, Nicholas G., 2021. "Buffer sizing in critical chain project management by network decomposition," Omega, Elsevier, vol. 102(C).
    25. Vanhoucke, Mario & Maenhout, Broos, 2009. "On the characterization and generation of nurse scheduling problem instances," European Journal of Operational Research, Elsevier, vol. 196(2), pages 457-467, July.
    26. Vanhoucke, Mario, 2010. "Using activity sensitivity and network topology information to monitor project time performance," Omega, Elsevier, vol. 38(5), pages 359-370, October.
    27. V. Van Peteghem & M. Vanhoucke, 2009. "An Artificial Immune System for the Multi-Mode Resource-Constrained Project Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/555, Ghent University, Faculty of Economics and Business Administration.
    28. Hartmann, Sönke & Briskorn, Dirk, 2010. "A survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 207(1), pages 1-14, November.
    29. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2021. "Using Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 288(3), pages 736-752.
    30. Peteghem, Vincent Van & Vanhoucke, Mario, 2010. "A genetic algorithm for the preemptive and non-preemptive multi-mode resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 201(2), pages 409-418, March.
    31. Szmerekovsky, Joseph G. & Venkateshan, Prahalad & Simonson, Peter D., 2023. "Project scheduling under the threat of catastrophic disruption," European Journal of Operational Research, Elsevier, vol. 309(2), pages 784-794.
    32. Servranckx, Tom & Vanhoucke, Mario & Aouam, Tarik, 2021. "Practical application of reference class forecasting for cost and time estimations: Identifying the properties of similarity," European Journal of Operational Research, Elsevier, vol. 295(3), pages 1161-1179.
    33. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2020. "The impact of a limited budget on the corrective action taking process," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1070-1086.
    34. Rob Eynde & Mario Vanhoucke, 2020. "Resource-constrained multi-project scheduling: benchmark datasets and decoupled scheduling," Journal of Scheduling, Springer, vol. 23(3), pages 301-325, June.
    35. Kosztyán, Zsolt T. & Szalkai, István, 2018. "Hybrid time-quality-cost trade-off problems," Operations Research Perspectives, Elsevier, vol. 5(C), pages 306-318.
    36. Rahman Torba & Stéphane Dauzère-Pérès & Claude Yugma & Cédric Gallais & Juliette Pouzet, 2024. "Solving a real-life multi-skill resource-constrained multi-project scheduling problem," Annals of Operations Research, Springer, vol. 338(1), pages 69-114, July.

  43. Broos Maenhout & Mario Vanhoucke, 2008. "Comparison and hybridization of crossover operators for the nurse scheduling problem," Annals of Operations Research, Springer, vol. 159(1), pages 333-353, March.
    See citations under working paper version above.
  44. Eva Labro & Mario Vanhoucke, 2008. "Diversity in Resource Consumption Patterns and Robustness of Costing Systems to Errors," Management Science, INFORMS, vol. 54(10), pages 1715-1730, October.

    Cited by:

    1. Van Eynde, Rob & Vanhoucke, Mario, 2022. "New summary measures and datasets for the multi-project scheduling problem," European Journal of Operational Research, Elsevier, vol. 299(3), pages 853-868.
    2. Cathérine Grisar & Matthias Meyer, 2016. "Use of simulation in controlling research: a systematic literature review for German-speaking countries," Management Review Quarterly, Springer, vol. 66(2), pages 117-157, April.
    3. Karl Schuhmacher & Michael Burkert, 2022. "Time Is Relative: How Framing of Time Estimation Affects the Accuracy of Cost Information," Management Science, INFORMS, vol. 68(7), pages 5493-5513, July.
    4. Eva Labro, 2015. "Using simulation methods in accounting research," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 99-104, August.
    5. Eichfelder, Sebastian, 2013. "Compliance cost estimates: Survey non-response and temporal framing effects," arqus Discussion Papers in Quantitative Tax Research 146, arqus - Arbeitskreis Quantitative Steuerlehre.
    6. Stephan Leitner, 2014. "A simulation analysis of interactions among intended biases in costing systems and their effects on the accuracy of decision-influencing information," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(1), pages 113-138, March.
    7. Ramji Balakrishnan & Stephen Hansen & Eva Labro, 2011. "Evaluating Heuristics Used When Designing Product Costing Systems," Management Science, INFORMS, vol. 57(3), pages 520-541, March.
    8. Snauwaert, Jakob & Vanhoucke, Mario, 2023. "A classification and new benchmark instances for the multi-skilled resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 307(1), pages 1-19.
    9. Sina Hocke & Matthias Meyer & Iris Lorscheid, 2015. "Improving simulation model analysis and communication via design of experiment principles: an example from the simulation-based design of cost accounting systems," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 131-155, August.
    10. Cathérine Grisar & Matthias Meyer, 2015. "Use of Monte Carlo simulation: an empirical study of German, Austrian and Swiss controlling departments," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 249-273, August.
    11. C. Homburg & Julia Nasev & Philipp Plank, 2018. "The impact of cost allocation errors on price and product-mix decisions," Review of Quantitative Finance and Accounting, Springer, vol. 51(2), pages 497-527, August.
    12. Stephan Leitner & Friederike Wall, 2015. "Simulation-based research in management accounting and control: an illustrative overview," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 105-129, August.

  45. Dieter Debels & Mario Vanhoucke, 2007. "A Decomposition-Based Genetic Algorithm for the Resource-Constrained Project-Scheduling Problem," Operations Research, INFORMS, vol. 55(3), pages 457-469, June.

    Cited by:

    1. Gonzalo Muñoz & Daniel Espinoza & Marcos Goycoolea & Eduardo Moreno & Maurice Queyranne & Orlando Rivera Letelier, 2018. "A study of the Bienstock–Zuckerberg algorithm: applications in mining and resource constrained project scheduling," Computational Optimization and Applications, Springer, vol. 69(2), pages 501-534, March.
    2. Fan Yang & Roel Leus, 2021. "Scheduling hybrid flow shops with time windows," Journal of Heuristics, Springer, vol. 27(1), pages 133-158, April.
    3. Horbach, Andrei, 2009. "A boolean satisfiability approach to the resource-constrained project scheduling problem," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 644, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    4. Wu, Kan & Huang, Edward & Wang, Mengchang & Zheng, Meimei, 2022. "Job scheduling of diffusion furnaces in semiconductor fabrication facilities," European Journal of Operational Research, Elsevier, vol. 301(1), pages 141-152.
    5. Coelho, José & Vanhoucke, Mario, 2011. "Multi-mode resource-constrained project scheduling using RCPSP and SAT solvers," European Journal of Operational Research, Elsevier, vol. 213(1), pages 73-82, August.
    6. Lei Lei & Michael Pinedo & Lian Qi & Shengbin Wang & Jian Yang, 2015. "Personnel scheduling and supplies provisioning in emergency relief operations," Annals of Operations Research, Springer, vol. 235(1), pages 487-515, December.
    7. Nadia Chaudry & Ingunn Vermedal & Kjetil Fagerholt & Maria Fleischer Fauske & Magnus Stålhane, 2020. "A decomposition solution approach to the troops-to-tasks assignment in military peacekeeping operations," The Journal of Defense Modeling and Simulation, , vol. 17(4), pages 357-371, October.
    8. Andrei Horbach, 2010. "A Boolean satisfiability approach to the resource-constrained project scheduling problem," Annals of Operations Research, Springer, vol. 181(1), pages 89-107, December.
    9. Kellenbrink, Carolin & Helber, Stefan, 2015. "Scheduling resource-constrained projects with a flexible project structure," European Journal of Operational Research, Elsevier, vol. 246(2), pages 379-391.
    10. Jiang, Yuanchun & Liu, Yezheng & Shang, Jennifer & Yildirim, Pinar & Zhang, Qingfu, 2018. "Optimizing online recurring promotions for dual-channel retailers: Segmented markets with multiple objectives," European Journal of Operational Research, Elsevier, vol. 267(2), pages 612-627.
    11. Sha, Yue & Zhang, Junlong & Cao, Hui, 2021. "Multistage stochastic programming approach for joint optimization of job scheduling and material ordering under endogenous uncertainties," European Journal of Operational Research, Elsevier, vol. 290(3), pages 886-900.
    12. Guo, Weikang & Vanhoucke, Mario & Coelho, José, 2023. "A prediction model for ranking branch-and-bound procedures for the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 306(2), pages 579-595.
    13. Zamani, Reza, 2013. "A competitive magnet-based genetic algorithm for solving the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 229(2), pages 552-559.
    14. Xabier A. Martin & Rosa Herrero & Angel A. Juan & Javier Panadero, 2024. "An Agile Adaptive Biased-Randomized Discrete-Event Heuristic for the Resource-Constrained Project Scheduling Problem," Mathematics, MDPI, vol. 12(12), pages 1-21, June.
    15. Alessandro Hill & Andrea J. Brickey & Italo Cipriano & Marcos Goycoolea & Alexandra Newman, 2022. "Optimization Strategies for Resource-Constrained Project Scheduling Problems in Underground Mining," INFORMS Journal on Computing, INFORMS, vol. 34(6), pages 3042-3058, November.
    16. Changchun Liu & Xi Xiang & Li Zheng, 2020. "Value of information sharing in a multiple producers–distributor supply chain," Annals of Operations Research, Springer, vol. 285(1), pages 121-148, February.
    17. Deblaere, Filip & Demeulemeester, Erik & Herroelen, Willy, 2011. "Proactive policies for the stochastic resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 214(2), pages 308-316, October.
    18. Peteghem, Vincent Van & Vanhoucke, Mario, 2010. "A genetic algorithm for the preemptive and non-preemptive multi-mode resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 201(2), pages 409-418, March.
    19. V. Van Peteghem & M. Vanhoucke, 2008. "A Genetic Algorithm for the Multi-Mode Resource-Constrained Project Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/494, Ghent University, Faculty of Economics and Business Administration.
    20. Li, Haitao & Womer, Norman K., 2015. "Solving stochastic resource-constrained project scheduling problems by closed-loop approximate dynamic programming," European Journal of Operational Research, Elsevier, vol. 246(1), pages 20-33.
    21. Servranckx, Tom & Coelho, José & Vanhoucke, Mario, 2024. "A genetic algorithm for the Resource-Constrained Project Scheduling Problem with Alternative Subgraphs using a boolean satisfiability solver," European Journal of Operational Research, Elsevier, vol. 316(3), pages 815-827.
    22. Yang-Kuei Lin & Chin Soon Chong, 2017. "Fast GA-based project scheduling for computing resources allocation in a cloud manufacturing system," Journal of Intelligent Manufacturing, Springer, vol. 28(5), pages 1189-1201, June.
    23. Jürgen Kuster & Dietmar Jannach & Gerhard Friedrich, 2010. "Applying Local Rescheduling in response to schedule disruptions," Annals of Operations Research, Springer, vol. 180(1), pages 265-282, November.
    24. Hongbo Li & Erik Demeulemeester, 2016. "A genetic algorithm for the robust resource leveling problem," Journal of Scheduling, Springer, vol. 19(1), pages 43-60, February.
    25. Milind Dawande & Zhichao Feng & Ganesh Janakiraman, 2021. "On the Structure of Bottlenecks in Processes," Management Science, INFORMS, vol. 67(6), pages 3853-3870, June.

  46. M Vanhoucke & S Vandevoorde, 2007. "A simulation and evaluation of earned value metrics to forecast the project duration," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(10), pages 1361-1374, October.
    See citations under working paper version above.
  47. Debels, Dieter & De Reyck, Bert & Leus, Roel & Vanhoucke, Mario, 2006. "A hybrid scatter search/electromagnetism meta-heuristic for project scheduling," European Journal of Operational Research, Elsevier, vol. 169(2), pages 638-653, March.
    See citations under working paper version above.
  48. Vanhoucke, Mario, 2005. "New computational results for the discrete time/cost trade-off problem with time-switch constraints," European Journal of Operational Research, Elsevier, vol. 165(2), pages 359-374, September.
    See citations under working paper version above.
  49. Vanhoucke, Mario & Demeulemeester, Erik & Herroelen, Willy, 2003. "Progress payments in project scheduling problems," European Journal of Operational Research, Elsevier, vol. 148(3), pages 604-620, August.

    Cited by:

    1. Zhang, Jingwen & Elmaghraby, Salah E., 2014. "The relevance of the “alphorn of uncertainty” to the financial management of projects under uncertainty," European Journal of Operational Research, Elsevier, vol. 238(1), pages 65-76.
    2. Hongtao Xie & Junwei Zheng & Yunhua Zhang & Hongyang Li, 2019. "Effects of Payment Delays at Two Links in Payment Chains on the Progress of Construction Projects: System Dynamic Modeling and Simulation," Sustainability, MDPI, vol. 11(15), pages 1-25, July.
    3. Hartmann, Sönke & Briskorn, Dirk, 2008. "A survey of variants and extensions of the resource-constrained project scheduling problem," Working Paper Series 02/2008, Hamburg School of Business Administration (HSBA).
    4. Hartmann, Sönke & Briskorn, Dirk, 2010. "A survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 207(1), pages 1-14, November.
    5. Leyman, Pieter & Vanhoucke, Mario, 2017. "Capital- and resource-constrained project scheduling with net present value optimization," European Journal of Operational Research, Elsevier, vol. 256(3), pages 757-776.
    6. He, Zhengwen & Xu, Yu, 2008. "Multi-mode project payment scheduling problems with bonus-penalty structure," European Journal of Operational Research, Elsevier, vol. 189(3), pages 1191-1207, September.
    7. He, Zhengwen & Wang, Nengmin & Jia, Tao & Xu, Yu, 2009. "Simulated annealing and tabu search for multi-mode project payment scheduling," European Journal of Operational Research, Elsevier, vol. 198(3), pages 688-696, November.
    8. M. Vanhoucke, 2006. "An efficient hybrid search algorithm for various optimization problems," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/365, Ghent University, Faculty of Economics and Business Administration.

  50. M Vanhoucke & E Demeulemeester & W Herroelen, 2002. "Discrete time/cost trade-offs in project scheduling with time-switch constraints," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(7), pages 741-751, July.

    Cited by:

    1. Prpić, John, 2017. "Project Risk Management Incorporating Knight, Ellsberg & Kahneman," SocArXiv yqhjx, Center for Open Science.
    2. Karapetyan, Daniel & Mitrovic Minic, Snezana & Malladi, Krishna T. & Punnen, Abraham P., 2015. "Satellite downlink scheduling problem: A case study," Omega, Elsevier, vol. 53(C), pages 115-123.

  51. Mario Vanhoucke & Erik Demeulemeester & Willy Herroelen, 2001. "An Exact Procedure for the Resource-Constrained Weighted Earliness–Tardiness Project Scheduling Problem," Annals of Operations Research, Springer, vol. 102(1), pages 179-196, February.

    Cited by:

    1. Lei Lei & Michael Pinedo & Lian Qi & Shengbin Wang & Jian Yang, 2015. "Personnel scheduling and supplies provisioning in emergency relief operations," Annals of Operations Research, Springer, vol. 235(1), pages 487-515, December.
    2. E. Demeulemeester & F. Deblaere & J. Herbots & O. Lambrechts & S. Van de Vonder, 2007. "A Multi-level Approach to Project Management under Uncertainty," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(3), pages 391-409.
    3. Fernando Jaramillo & Busra Keles & Murat Erkoc, 2020. "Modeling single machine preemptive scheduling problems for computational efficiency," Annals of Operations Research, Springer, vol. 285(1), pages 197-222, February.
    4. Carlo Mannino & Alessandro Mascis, 2009. "Optimal Real-Time Traffic Control in Metro Stations," Operations Research, INFORMS, vol. 57(4), pages 1026-1039, August.
    5. Feifei Li & Zhe Xu, 2018. "A multi-agent system for distributed multi-project scheduling with two-stage decomposition," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-24, October.
    6. Hartmann, Sönke & Briskorn, Dirk, 2010. "A survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 207(1), pages 1-14, November.
    7. Androutsopoulos, Konstantinos N. & Manousakis, Eleftherios G. & Madas, Michael A., 2020. "Modeling and solving a bi-objective airport slot scheduling problem," European Journal of Operational Research, Elsevier, vol. 284(1), pages 135-151.

  52. Mario Vanhoucke & Erik Demeulemeester & Willy Herroelen, 2001. "On Maximizing the Net Present Value of a Project Under Renewable Resource Constraints," Management Science, INFORMS, vol. 47(8), pages 1113-1121, August.

    Cited by:

    1. Domingo A. Tarzia, 2016. "Properties of the financial break-even point in a simple investment project as a function of the discount rate," Papers 1611.03740, arXiv.org.
    2. M. Vanhoucke, 2002. "Optimal Due Date Assignment In Project Scheduling," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 02/159, Ghent University, Faculty of Economics and Business Administration.
    3. J Pinder, 2005. "Using revenue management to improve pricing and capacity management in programme management," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(1), pages 75-87, January.
    4. Bogumiła Krzeszowska, 2013. "Three step procedure for a multiple criteria problem of project portfolio scheduling," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 23(4), pages 55-74.
    5. Luis F. Machado-Domínguez & Carlos D. Paternina-Arboleda & Jorge I. Vélez & Agustín Barrios-Sarmiento, 2022. "An adaptative bacterial foraging optimization algorithm for solving the MRCPSP with discounted cash flows," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(2), pages 221-248, July.
    6. Vanhoucke, M., 2006. "A scatter search procedure for maximizing the net present value of a project under renewable resource constraints," Vlerick Leuven Gent Management School Working Paper Series 2006-40, Vlerick Leuven Gent Management School.
    7. Tubetov, Dulat & Maart, Syster Christin & Musshoff, Oliver, 2012. "Experimental examination of land investment decisions with volatile returns A comparison between Kazakhstani and German farmers," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122454, European Association of Agricultural Economists.
    8. M. Vanhoucke, 2004. "Work Continuity Constraints In Project Scheduling," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/265, Ghent University, Faculty of Economics and Business Administration.
    9. Tubetov, Dulat & Maart, Syster Christin & Musshoff, Oliver, 2012. "Comparison of the investment behavior of Kazakhstani and German farmers: An experimental approach," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 125218, International Association of Agricultural Economists.
    10. Chen, Jiaqiong & Askin, Ronald G., 2009. "Project selection, scheduling and resource allocation with time dependent returns," European Journal of Operational Research, Elsevier, vol. 193(1), pages 23-34, February.
    11. C-C Chang & R-S Chen, 2007. "Project advancement and its applications to multi-air-route quality budget allocation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(8), pages 1008-1020, August.
    12. Creemers, Stefan, 2018. "Moments and distribution of the net present value of a serial project," European Journal of Operational Research, Elsevier, vol. 267(3), pages 835-848.
    13. Alessandro Hill & Andrea J. Brickey & Italo Cipriano & Marcos Goycoolea & Alexandra Newman, 2022. "Optimization Strategies for Resource-Constrained Project Scheduling Problems in Underground Mining," INFORMS Journal on Computing, INFORMS, vol. 34(6), pages 3042-3058, November.
    14. Hartmann, Sönke & Briskorn, Dirk, 2008. "A survey of variants and extensions of the resource-constrained project scheduling problem," Working Paper Series 02/2008, Hamburg School of Business Administration (HSBA).
    15. Milička, P. & Šůcha, P. & Vanhoucke, M. & Maenhout, B., 2022. "The bilevel optimisation of a multi-agent project scheduling and staffing problem," European Journal of Operational Research, Elsevier, vol. 296(1), pages 72-86.
    16. Tubetov, Dulat & Maart, Syster Christin & Musshoff, Oliver, 2012. "Comparison of the Investment Behavior of German and Kazakhstani Farmers: an Experimental Approach," GlobalFood Discussion Papers 122422, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    17. Cheung, Grace & Davies, Peter J. & Trück, Stefan, 2016. "Financing alternative energy projects: An examination of challenges and opportunities for local government," Energy Policy, Elsevier, vol. 97(C), pages 354-364.
    18. Homberger, Jörg & Fink, Andreas, 2017. "Generic negotiation mechanisms with side payments – Design, analysis and application for decentralized resource-constrained multi-project scheduling problems," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1001-1012.
    19. Hartmann, Sönke & Briskorn, Dirk, 2010. "A survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 207(1), pages 1-14, November.
    20. Wenhui Zhao & Nicholas G. Hall & Zhixin Liu, 2020. "Project Evaluation and Selection with Task Failures," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 428-446, February.
    21. Leyman, Pieter & Vanhoucke, Mario, 2017. "Capital- and resource-constrained project scheduling with net present value optimization," European Journal of Operational Research, Elsevier, vol. 256(3), pages 757-776.
    22. M. Vanhoucke, 2007. "An electromagnetic time/cost trade-off optimization in project scheduling," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/457, Ghent University, Faculty of Economics and Business Administration.
    23. He, Zhengwen & Xu, Yu, 2008. "Multi-mode project payment scheduling problems with bonus-penalty structure," European Journal of Operational Research, Elsevier, vol. 189(3), pages 1191-1207, September.
    24. He, Zhengwen & Wang, Nengmin & Jia, Tao & Xu, Yu, 2009. "Simulated annealing and tabu search for multi-mode project payment scheduling," European Journal of Operational Research, Elsevier, vol. 198(3), pages 688-696, November.
    25. Dayal Madhukar & Verma, Sanjay, 2015. "Exact Procedures for Non-Regular Measures of the Multi-Mode RCPSP," IIMA Working Papers WP2015-03-06, Indian Institute of Management Ahmedabad, Research and Publication Department.
    26. M. Vanhoucke, 2006. "An efficient hybrid search algorithm for various optimization problems," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/365, Ghent University, Faculty of Economics and Business Administration.
    27. Katarzyna Piwowar-Sulej & Mariusz Sołtysik & Szymon Jarosz & Ryszard Pukała, 2023. "The Linkage between Renewable Energy and Project Management: What Do We Already Know, and What Are the Future Directions of Research?," Energies, MDPI, vol. 16(12), pages 1-26, June.
    28. Vanhoucke, Mario & Demeulemeester, Erik & Herroelen, Willy, 2003. "Progress payments in project scheduling problems," European Journal of Operational Research, Elsevier, vol. 148(3), pages 604-620, August.
    29. Mika, Marek & Waligora, Grzegorz & Weglarz, Jan, 2005. "Simulated annealing and tabu search for multi-mode resource-constrained project scheduling with positive discounted cash flows and different payment models," European Journal of Operational Research, Elsevier, vol. 164(3), pages 639-668, August.
    30. Nursel Kavlak & Gündüz Ulusoy & Funda Sivrikaya Şerifoğlu & Ş. İlker Birbil, 2009. "Client‐contractor bargaining on net present value in project scheduling with limited resources," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(2), pages 93-112, March.

Chapters

  1. Vincent Peteghem & Mario Vanhoucke, 2015. "Heuristic Methods for the Resource Availability Cost Problem," International Handbooks on Information Systems, in: Christoph Schwindt & Jürgen Zimmermann (ed.), Handbook on Project Management and Scheduling Vol.1, edition 127, chapter 0, pages 339-359, Springer.

    Cited by:

    1. Hartmann, Sönke & Briskorn, Dirk, 2022. "An updated survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 297(1), pages 1-14.
    2. Patrick Gerhards, 2020. "The multi-mode resource investment problem: a benchmark library and a computational study of lower and upper bounds," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(4), pages 901-933, December.

  2. José Coelho & Mario Vanhoucke, 2015. "The Multi-Mode Resource-Constrained Project Scheduling Problem," International Handbooks on Information Systems, in: Christoph Schwindt & Jürgen Zimmermann (ed.), Handbook on Project Management and Scheduling Vol.1, edition 127, chapter 0, pages 491-511, Springer.

    Cited by:

    1. Hartmann, Sönke & Briskorn, Dirk, 2022. "An updated survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 297(1), pages 1-14.

  3. Mario Vanhoucke, 2014. "Earned Value Management," Management for Professionals, in: Integrated Project Management and Control, edition 127, chapter 0, pages 17-31, Springer.

    Cited by:

    1. Vanhoucke, Mario & Colin, Jeroen, 2016. "On the use of multivariate regression methods for longest path calculations from earned value management observations," Omega, Elsevier, vol. 61(C), pages 127-140.
    2. Mohammadreza Sharifi Ghazvini & Vahidreza Ghezavati & Sadigh Raissi & Ahmad Makui, 2017. "An Integrated Efficiency–Risk Approach in Sustainable Project Control," Sustainability, MDPI, vol. 9(9), pages 1-20, September.
    3. M. T. Hajiali & M. R. Mosavi & K. Shahanaghi, 2014. "Estimation of Project Completion Time-Based on a Mixture of Expert in an Interactive Space," Modern Applied Science, Canadian Center of Science and Education, vol. 8(6), pages 229-229, December.
    4. Merkourios Papanikolaou & Yiannis Xenidis, 2020. "Risk-Informed Performance Assessment of Construction Projects," Sustainability, MDPI, vol. 12(13), pages 1-20, July.
    5. Cohen, Izack & Iluz, Michal, 2015. "When cost–effective design strategies are not enough: Evidence from an experimental study on the role of redundant goals," Omega, Elsevier, vol. 56(C), pages 99-111.
    6. Martens, Annelies & Vanhoucke, Mario, 2019. "The impact of applying effort to reduce activity variability on the project time and cost performance," European Journal of Operational Research, Elsevier, vol. 277(2), pages 442-453.
    7. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2022. "Using Earned Value Management and Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 297(2), pages 451-466.
    8. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2020. "The impact of a limited budget on the corrective action taking process," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1070-1086.
    9. Plaza, Malgorzata, 2016. "Balancing the costs of human resources on an ERP project," Omega, Elsevier, vol. 59(PB), pages 171-183.

Books

  1. Mario Vanhoucke, 2018. "The Data-Driven Project Manager," Springer Books, Springer, number 978-1-4842-3498-3, January.

    Cited by:

    1. Curto, D. & Acebes, F. & González-Varona, J.M. & Poza, D., 2022. "Impact of aleatoric, stochastic and epistemic uncertainties on project cost contingency reserves," International Journal of Production Economics, Elsevier, vol. 253(C).

  2. Mario Vanhoucke, 2016. "Integrated Project Management Sourcebook," Springer Books, Springer, edition 1, number 978-3-319-27373-0, January.

    Cited by:

    1. Fernando Acebes & Javier Pajares & José M. González-Varona & Adolfo López-Paredes, 2021. "Project risk management from the bottom-up: Activity Risk Index," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(4), pages 1375-1396, December.

  3. Mario Vanhoucke, 2014. "Integrated Project Management and Control," Management for Professionals, Springer, edition 127, number 978-3-319-04331-9, December.

    Cited by:

    1. Richard E. Wendell & Timothy J. Lowe & Mike M. Gordon, 2023. "Dangers in using earned duration and other earned value metrics to measure a project’s schedule performance," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(2), pages 665-680, June.
    2. Colin, Jeroen & Vanhoucke, Mario, 2014. "Setting tolerance limits for statistical project control using earned value management," Omega, Elsevier, vol. 49(C), pages 107-122.
    3. Martens, Annelies & Vanhoucke, Mario, 2019. "The impact of applying effort to reduce activity variability on the project time and cost performance," European Journal of Operational Research, Elsevier, vol. 277(2), pages 442-453.
    4. Lenah Cleo Kelepile, 2024. "A Comprehensive Analysis of Monitoring and Control Mechanisms in Operational Relocation Project at Limkokwing University, Botswana," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(5), pages 1759-1771, May.
    5. Weiping Jiang & Xianbo Zhao & Jian Zuo, 2017. "(Dis)Trust, Control, and Project Success: From a Chinese Project Owner’s Perspective," Sustainability, MDPI, vol. 9(11), pages 1-16, October.

  4. Mario Vanhoucke, 2012. "Project Management with Dynamic Scheduling," Springer Books, Springer, edition 127, number 978-3-642-25175-7, January.

    Cited by:

    1. Mahmoudi, Amin & Javed, Saad Ahmed, 2022. "Performance Evaluation of Construction Sub‐contractors using Ordinal Priority Approach," Evaluation and Program Planning, Elsevier, vol. 91(C).
    2. P. Velumani & N. V. N. Nampoothiri & M. Urbański, 2021. "A Comparative Study of Models for the Construction Duration Prediction in Highway Road Projects of India," Sustainability, MDPI, vol. 13(8), pages 1-13, April.
    3. Bordley, Robert F. & Keisler, Jeffrey M. & Logan, Tom M., 2019. "Managing projects with uncertain deadlines," European Journal of Operational Research, Elsevier, vol. 274(1), pages 291-302.
    4. Colin, Jeroen & Vanhoucke, Mario, 2014. "Setting tolerance limits for statistical project control using earned value management," Omega, Elsevier, vol. 49(C), pages 107-122.
    5. Nikolai Krivulin, 2020. "Tropical optimization technique in bi-objective project scheduling under temporal constraints," Computational Management Science, Springer, vol. 17(3), pages 437-464, October.
    6. Hübner, Felix & Möller, Sven & Schultmann, Frank, 2018. "Entwicklung eines Expertensystems für die Planung kerntechnischer Rückbauprojekte," Working Paper Series in Production and Energy 28, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    7. She, Bingling & Chen, Bo & Hall, Nicholas G., 2021. "Buffer sizing in critical chain project management by network decomposition," Omega, Elsevier, vol. 102(C).
    8. Xuejun Hu & Jianjiang Wang & Kaijun Leng, 2019. "The Interaction Between Critical Chain Sequencing, Buffer Sizing, and Reactive Actions in a CC/BM Framework," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(03), pages 1-22, June.
    9. Xuejun Hu & Erik Demeulemeester & Nanfang Cui & Jianjiang Wang & Wendi Tian, 2017. "Improved critical chain buffer management framework considering resource costs and schedule stability," Flexible Services and Manufacturing Journal, Springer, vol. 29(2), pages 159-183, June.
    10. Gehring, Marco & Winkler, Franziska & Volk, Rebekka & Schultmann, Frank, 2021. "Projektmanagementsoftware und Scheduling: Aktuelle Bestandsaufnahme von Funktionalitäten und Identifikation von Potenzialen," Working Paper Series in Production and Energy 60, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    11. Nikolai Krivulin, 2017. "Tropical optimization problems with application to project scheduling with minimum makespan," Annals of Operations Research, Springer, vol. 256(1), pages 75-92, September.
    12. Caputo, Antonio C. & Kalemi, Bledar & Paolacci, Fabrizio & Corritore, Daniele, 2020. "Computing resilience of process plants under Na-Tech events: Methodology and application to sesmic loading scenarios," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    13. Kerkhove, L.-P. & Vanhoucke, M., 2017. "Optimised scheduling for weather sensitive offshore construction projects," Omega, Elsevier, vol. 66(PA), pages 58-78.

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