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A hybrid metaheuristic for resource-constrained project scheduling with flexible resource profiles

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  • Tritschler, Martin
  • Naber, Anulark
  • Kolisch, Rainer

Abstract

We consider a generalization of the resource-constrained project scheduling problem (RCPSP), namely the RCPSP with flexible resource profiles (FRCPSP) in discrete time periods. In the FRCPSP, for each activity the given resource requirement is allocated in a variable number of contiguous periods in which the activity is processed. As the resource allocation can be adjusted between time periods, the resulting resource profile of the activity becomes flexible. The FRCPSP consists of scheduling activities and determining for each activity a resource profile and, thus, a duration in order to minimize the makespan. We propose a Hybrid Metaheuristic for the FRCPSP. It contains the Flexible Resource Profile Parallel Schedule Generation Scheme which employs the concepts of delayed scheduling and non-greedy resource allocation, embedded in a genetic algorithm. The best-found schedules are further improved in a variable neighborhood search by transferring resource quantities between selected activities. The results of a computational study demonstrate that the proposed method yields significantly better solutions than three benchmark methods on problem instances with up to 200 activities.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ejores:v:262:y:2017:i:1:p:262-273
    DOI: 10.1016/j.ejor.2017.03.006
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    References listed on IDEAS

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    1. 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.
    2. Naber, Anulark & Kolisch, Rainer, 2014. "MIP models for resource-constrained project scheduling with flexible resource profiles," European Journal of Operational Research, Elsevier, vol. 239(2), pages 335-348.
    3. 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.
    4. Rainer Kolisch & Arno Sprecher & Andreas Drexl, 1995. "Characterization and Generation of a General Class of Resource-Constrained Project Scheduling Problems," Management Science, INFORMS, vol. 41(10), pages 1693-1703, October.
    5. Artigues, Christian & Michelon, Philippe & Reusser, Stephane, 2003. "Insertion techniques for static and dynamic resource-constrained project scheduling," European Journal of Operational Research, Elsevier, vol. 149(2), pages 249-267, September.
    6. 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.
    7. 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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    Cited by:

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    5. Wei Wang & Jingjie Chen & Qi Liu & Zhaoxia Guo, 2018. "Green Project Planning with Realistic Multi-Objective Consideration in Developing Sustainable Port," Sustainability, MDPI, vol. 10(7), pages 1-15, July.

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