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Resource leveling in projects with flexible structures

Author

Listed:
  • Hongbo Li

    (Shanghai University)

  • Linwen Zheng

    (Shanghai University)

  • Hanyu Zhu

    (Shanghai University)

Abstract

Project resource leveling, which is usually performed in the project planning phase, aims to minimize fluctuations in resource usage such that the project success probability is enhanced. The existing studies on resource leveling mainly assume a fixed project structure, i.e., the activities and precedence relationships are given in advance. However, in real-world projects, the project structure is usually flexible, i.e., not all activities are implemented, and the precedence relationships exist only between the activities that are implemented. Aiming at providing support for project managers to make effective resource leveling decisions when facing flexible project structures, we study the resource leveling problem with flexible structures (RLP-PS). We present a nonlinear integer programming model for the RLP-PS and a linearization method to transform the nonlinear model into a linear model. To efficiently solve the RLP-PS, we devise two problem-specific algorithms: a two-stage heuristic algorithm and a customized genetic algorithm. Based on the PSPLIB benchmark dataset, extensive computational experiments are performed to analyze the performances of our algorithms. The experimental results reveal the effectiveness and competitiveness of our algorithms.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:annopr:v:321:y:2023:i:1:d:10.1007_s10479-022-04797-y
    DOI: 10.1007/s10479-022-04797-y
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    References listed on IDEAS

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    1. 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.
    2. Neumann, K. & Zimmermann, J., 2000. "Procedures for resource leveling and net present value problems in project scheduling with general temporal and resource constraints," European Journal of Operational Research, Elsevier, vol. 127(2), pages 425-443, December.
    3. Bianco, Lucio & Caramia, Massimiliano, 2012. "An exact algorithm to minimize the makespan in project scheduling with scarce resources and generalized precedence relations," European Journal of Operational Research, Elsevier, vol. 219(1), pages 73-85.
    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. Neumann, K. & Zimmermann, J., 1999. "Resource levelling for projects with schedule-dependent time windows," European Journal of Operational Research, Elsevier, vol. 117(3), pages 591-605, September.
    6. Bandelloni, M. & Tucci, M. & Rinaldi, R., 1994. "Optimal resource leveling using non-serial dyanamic programming," European Journal of Operational Research, Elsevier, vol. 78(2), pages 162-177, October.
    7. 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.
    8. Morteza Davari & Erik Demeulemeester, 2019. "Important classes of reactions for the proactive and reactive resource-constrained project scheduling problem," Annals of Operations Research, Springer, vol. 274(1), pages 187-210, March.
    9. 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.
    10. Čapek, R. & Šůcha, P. & Hanzálek, Z., 2012. "Production scheduling with alternative process plans," European Journal of Operational Research, Elsevier, vol. 217(2), pages 300-311.
    11. Massimiliano Caramia, 2020. "Project management and scheduling," Annals of Operations Research, Springer, vol. 285(1), pages 1-8, February.
    12. Lihua He & Lianying Zhang, 2013. "Dynamic priority rule-based forward-backward heuristic algorithm for resource levelling problem in construction project," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(8), pages 1106-1117, August.
    13. Rieck, Julia & Zimmermann, Jürgen & Gather, Thorsten, 2012. "Mixed-integer linear programming for resource leveling problems," European Journal of Operational Research, Elsevier, vol. 221(1), pages 27-37.
    14. Kolisch, Rainer & Sprecher, Arno, 1996. "PSPLIB - a project scheduling problem library," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 396, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    15. Vacharapoom Benjaoran & Wisitsak Tabyang & Nart Sooksil, 2015. "Precedence relationship options for the resource levelling problem using a genetic algorithm," Construction Management and Economics, Taylor & Francis Journals, vol. 33(9), pages 711-723, September.
    16. Dale F. Cooper, 1976. "Heuristics for Scheduling Resource-Constrained Projects: An Experimental Investigation," Management Science, INFORMS, vol. 22(11), pages 1186-1194, July.
    17. Hongbo Li & Li Xiong & Yinbin Liu & Haitao Li, 2018. "An effective genetic algorithm for the resource levelling problem with generalised precedence relations," International Journal of Production Research, Taylor & Francis Journals, vol. 56(5), pages 2054-2075, March.
    18. Morteza Davari & Erik Demeulemeester, 2019. "The proactive and reactive resource-constrained project scheduling problem," Journal of Scheduling, Springer, vol. 22(2), pages 211-237, April.
    19. Farnaz Torabi Yeganeh & Seyed Hessameddin Zegordi, 2020. "A multi-objective optimization approach to project scheduling with resiliency criteria under uncertain activity duration," Annals of Operations Research, Springer, vol. 285(1), pages 161-196, February.
    20. 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.
    21. Kolisch, Rainer & Hartmann, Sonke, 2006. "Experimental investigation of heuristics for resource-constrained project scheduling: An update," European Journal of Operational Research, Elsevier, vol. 174(1), pages 23-37, October.
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