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Efficient robustness measures for the resource-constrained project scheduling problem

Author

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  • Mohamed Ali Khemakhem
  • Hédi Chtourou

Abstract

The single-mode resource-constrained project scheduling problem is considered. Traditionally, this problem is solved with the objective of makespan minimisation. But in reality, projects are often subject to diverse sources of uncertainty that could have a negative impact on this objective. That is why, some recent research efforts have focused on the generation of robust project baseline schedules that are protected against possible disruptions that may occur during schedule execution. To provide an accurate estimate of the schedule robustness, they introduced surrogate measures. This paper reviews the main robustness measures (RMs) proposed in the literature. It also presents several new RMs. Using a five-stage approach, the efficiency of all RMs is assessed, in a specific context, by computing the correlation between RMs and a predefined performance measure. The relevance and the efficiency of some new RMs are illustrated. Also, the superiority of the newly proposed RMs over the old ones is statistically proven for a particular perturbation scheme. Hence, these measures could help project managers in discriminating solutions having the same makespan to choose the most robust schedule.

Suggested Citation

  • Mohamed Ali Khemakhem & Hédi Chtourou, 2013. "Efficient robustness measures for the resource-constrained project scheduling problem," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 14(2), pages 245-267.
    • Handle: RePEc:ids:ijisen:v:14:y:2013:i:2:p:245-267
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    Citations

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    Cited by:

    1. Cui, Nanfang & Demeulemeester, Erik & Bie, Li, 2016. "Incorporation of activity sensitivity measures into buffer management to manage project schedule riskAuthor-Name: Hu, Xuejun," European Journal of Operational Research, Elsevier, vol. 249(2), pages 717-727.
    2. Hazır, Öncü & Ulusoy, Gündüz, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," International Journal of Production Economics, Elsevier, vol. 223(C).
    3. Öncü Hazir & Gündüz Ulusoy, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," Post-Print hal-02898162, HAL.
    4. Xuejun Hu & Erik Demeulemeester & Nanfang Cui & Jianjiang Wang & Wendi Tian, 2017. "Improved critical chain buffer management framework considering resource costs and schedule stability," Flexible Services and Manufacturing Journal, Springer, vol. 29(2), pages 159-183, June.

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