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New strategies for stochastic resource-constrained project scheduling

Author

Listed:
  • Salim Rostami
  • Stefan Creemers

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Roel Leus

    (KU Leuven - Catholic University of Leuven = Katholieke Universiteit Leuven)

Abstract

We study the stochastic resource-constrained project scheduling problem or SRCPSP, where project activities have stochastic durations. A solution is a scheduling policy, and we propose a new class of policies that is a generalization of most of the classes described in the literature. A policy in this new class makes a number of a priori decisions in a preprocessing phase, while the remaining scheduling decisions are made online. A two-phase local search algorithm is proposed to optimize within the class. Our computational results show that the algorithm has been efficiently tuned toward finding high-quality solutions and that it outperforms all existing algorithms for large instances. The results also indicate that the optimality gap even within the larger class of elementary policies is very small.

Suggested Citation

  • Salim Rostami & Stefan Creemers & Roel Leus, 2017. "New strategies for stochastic resource-constrained project scheduling," Post-Print hal-01745268, HAL.
    • Handle: RePEc:hal:journl:hal-01745268
    DOI: 10.1007/s10951-016-0505-x
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    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. Xiaokang Han, 2021. "WBS-free scheduling method based on database relational model," 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. 12(3), pages 509-519, June.
    3. Creemers, Stefan, 2018. "Maximizing the expected net present value of a project with phase-type distributed activity durations: An efficient globally optimal solution procedure," European Journal of Operational Research, Elsevier, vol. 267(1), pages 16-22.

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