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A robust scheduling for the multi-mode project scheduling problem with a given deadline under uncertainty of activity duration

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  • Hadi Moradi
  • Shahram Shadrokh

Abstract

The problem of this paper deals with the multi-mode project scheduling problem under uncertainty of activity duration where only the renewable resources are taken into account and a given deadline has to be met at the cost of recruiting additional resources. A heuristic algorithm is employed to solve this problem, and to maintain the robustness of the baseline schedule, the concept of critical chain project management (CCPM) is applied in which a new definition to resource buffer is considered. A simulation methodology is used to determine the size and location of resource buffers in the schedules in which three different buffer sizes and three different uncertainty levels are considered. Results and analysis of the simulation outcomes illustrate that resource buffers are useful and should be simulated by the CCPM schedules, as they help to decrease the total duration of the project during implementation and meet the deadline of the project with more assurance.

Suggested Citation

  • Hadi Moradi & Shahram Shadrokh, 2019. "A robust scheduling for the multi-mode project scheduling problem with a given deadline under uncertainty of activity duration," International Journal of Production Research, Taylor & Francis Journals, vol. 57(10), pages 3138-3167, May.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:10:p:3138-3167
    DOI: 10.1080/00207543.2018.1552371
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    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. 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).
    3. 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.
    4. Guofeng Ma & Jianyao Jia & Tiancheng Zhu & Shan Jiang, 2019. "A Critical Design Structure Method for Project Schedule Development under Rework Risks," Sustainability, MDPI, vol. 11(24), pages 1-20, December.
    5. Zhao, Mingxuan & Zhou, Jian & Wang, Ke & Pantelous, Athanasios A., 2023. "Project scheduling problem with fuzzy activity durations: A novel operational law based solution framework," European Journal of Operational Research, Elsevier, vol. 306(2), pages 519-534.

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