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An evaluation of the adequacy of project network generators with systematically sampled networks

Citations

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Cited by:

  1. van der Beek, T. & van Essen, J.T. & Pruyn, J. & Aardal, K., 2025. "Exact solution methods for the Resource Constrained Project Scheduling Problem with a flexible Project Structure," European Journal of Operational Research, Elsevier, vol. 322(1), pages 56-69.
  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. 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).
  4. 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.
  5. 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.
  6. 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.
  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. Chen, Siping & Chiong, Raymond & Li, Debiao, 2025. "A prescriptive tree-based model for energy-efficient room scheduling: Considering uncertainty in energy generation and consumption," European Journal of Operational Research, Elsevier, vol. 326(2), pages 374-388.
  10. Song, Jie & Song, Jinbo & Vanhoucke, Mario, 2025. "Automatic selection of the best performing control point approach for project control with resource constraints," European Journal of Operational Research, Elsevier, vol. 322(1), pages 15-38.
  11. 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.
  12. 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.
  13. Chunlai Yu & Xiaoming Wang & Qingxin Chen, 2025. "Efficient Rollout Algorithms for Resource-Constrained Project Scheduling with a Flexible Project Structure and Uncertain Activity Durations," Mathematics, MDPI, vol. 13(9), pages 1-25, April.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. Aminbakhsh, Saman & Sönmez, Rifat & Atan, Tankut, 2025. "ε-constraint procedures for Pareto front optimization of large size discrete time/cost trade-off problem," European Journal of Operational Research, Elsevier, vol. 322(3), pages 753-769.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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).
  25. 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.
  26. Vanhoucke, Mario & Coelho, José, 2024. "A matheuristic for the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 319(3), pages 711-725.
  27. Chung-Lun Li & Nicholas G. Hall, 2019. "Work Package Sizing and Project Performance," Operations Research, INFORMS, vol. 67(1), pages 123-142, January.
  28. 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.
  29. She, Bingling & Chen, Bo & Hall, Nicholas G., 2021. "Buffer sizing in critical chain project management by network decomposition," Omega, Elsevier, vol. 102(C).
  30. van der Beek, T. & van Essen, J.T. & Pruyn, J. & Aardal, K., 2025. "Machine learning assisted Differential Evolution for the Dynamic Resource Constrained Multi-project Scheduling Problem with Static project Schedules," European Journal of Operational Research, Elsevier, vol. 327(3), pages 808-819.
  31. Artigues, Christian & Hartmann, Sönke & Vanhoucke, Mario, 2026. "Fifty years of research on resource-constrained project scheduling explored from different perspectives," European Journal of Operational Research, Elsevier, vol. 328(2), pages 367-389.
  32. 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.
  33. Vanhoucke, Mario, 2010. "Using activity sensitivity and network topology information to monitor project time performance," Omega, Elsevier, vol. 38(5), pages 359-370, October.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. Fangfang Cao & Tom Servranckx & Zhengwen He & Mario Vanhoucke, 2025. "A buffer allocation evolutionary algorithm for resource-constrained projects with activity clusters," Journal of Scheduling, Springer, vol. 28(5), pages 483-511, October.
  39. 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.
  40. 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.
  41. 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.
  42. Ünsal Altuncan, Izel & Vanhoucke, Mario, 2025. "Duration forecasting in resource constrained projects: A hybrid risk model combining complexity indicators with sensitivity measures," European Journal of Operational Research, Elsevier, vol. 325(2), pages 329-343.
  43. 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.
  44. 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.
  45. Rob Eynde & Mario Vanhoucke & José Coelho, 2024. "On the summary measures for the resource-constrained project scheduling problem," Annals of Operations Research, Springer, vol. 337(2), pages 593-625, June.
  46. Song, Jie & Song, Jinbo & Browning, Tyson & Vanhoucke, Mario, 2026. "Project monitoring and control with an empirically grounded budget-release model," European Journal of Operational Research, Elsevier, vol. 328(2), pages 646-667.
  47. Yu, Chunlai & Wang, Xiaoming & Chen, Qingxin, 2025. "An enhanced tabu search algorithm for resource-constrained project scheduling with a flexible project structure," Operations Research Perspectives, Elsevier, vol. 15(C).
  48. Paulo André de Andrade & Mario Vanhoucke & Annelies Martens, 2024. "An empirical project forecasting accuracy framework using project regularity," Annals of Operations Research, Springer, vol. 337(2), pages 501-521, June.
  49. Kosztyán, Zsolt T. & Szalkai, István, 2018. "Hybrid time-quality-cost trade-off problems," Operations Research Perspectives, Elsevier, vol. 5(C), pages 306-318.
  50. 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.
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