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A multi-objective optimization approach to project scheduling with resiliency criteria under uncertain activity duration

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  • Farnaz Torabi Yeganeh

    (Tarbiat Modares University)

  • Seyed Hessameddin Zegordi

    (Tarbiat Modares University)

Abstract

Uncertainty is one of the main parts of the project management environment that can strongly affect the project objectives and cause unpredictable delays. This study presents a multi-objective optimization approach for constructing resilient project schedules under resource constraints to cope with uncertain activity durations. In this paper, the concept of resilient project scheduling is defined to measure the ability of schedules to deal with duration disruption. Since the direct evaluation of resiliency is computationally complicated and time-consuming, a new surrogate resilience measure is introduced. The proposed resiliency criteria measure the floating of activities and the risks associated with the completion of the project. Furthermore, a new model based on a combination of time buffer and float allocation approach is developed. To extend existing project scheduling models with uncertainty, general precedence relationships between activities have been considered. To validate the proposed approach, the construction project of a combined cycle power plant is used as a case study. Due to a large number of project activities in this case study, the non-dominated sorting genetic algorithm (NSGA II) has been used to solve the problem. The results of solving the mathematical model using the proposed method are assessed through extensive simulation experiments and compared with those of the baseline schedule. The results show that by taking the proposed resiliency measure and the optimal allocation of buffer time to activities, the project completed at the same duration with higher reliability.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:annopr:v:285:y:2020:i:1:d:10.1007_s10479-019-03375-z
    DOI: 10.1007/s10479-019-03375-z
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    References listed on IDEAS

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    1. 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.
    2. Al-Fawzan, M. A. & Haouari, Mohamed, 2005. "A bi-objective model for robust resource-constrained project scheduling," International Journal of Production Economics, Elsevier, vol. 96(2), pages 175-187, May.
    3. Christian Artigues & Roel Leus & Fabrice Talla Nobibon, 2015. "Robust Optimization for the Resource-Constrained Project Scheduling Problem with Duration Uncertainty," International Handbooks on Information Systems, in: Christoph Schwindt & Jürgen Zimmermann (ed.), Handbook on Project Management and Scheduling Vol. 2, edition 127, chapter 0, pages 875-908, Springer.
    4. Demeulemeester, Erik & Herroelen, Willy, 2011. "Robust Project Scheduling," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 3(3–4), pages 201-376, January.
    5. Herroelen, Willy & Leus, Roel, 2005. "Project scheduling under uncertainty: Survey and research potentials," European Journal of Operational Research, Elsevier, vol. 165(2), pages 289-306, September.
    6. Van de Vonder, Stijn & Demeulemeester, Erik & Herroelen, Willy, 2008. "Proactive heuristic procedures for robust project scheduling: An experimental analysis," European Journal of Operational Research, Elsevier, vol. 189(3), pages 723-733, September.
    7. Weibo Zheng & Zhengwen He & Nengmin Wang & Tao Jia, 2018. "Proactive and reactive resource-constrained max-NPV project scheduling with random activity duration," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(1), pages 115-126, January.
    8. Alexander Schnell & Richard F. Hartl, 2016. "On the efficient modeling and solution of the multi-mode resource-constrained project scheduling problem with generalized precedence relations," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(2), pages 283-303, March.
    9. Maurizio Bevilacqua & Filippo E. Ciarapica & Giovanni Mazzuto & Claudia Paciarotti, 2015. "Robust Multi-Criteria Project Scheduling in Plant Engineering and Construction," International Handbooks on Information Systems, in: Christoph Schwindt & Jürgen Zimmermann (ed.), Handbook on Project Management and Scheduling Vol. 2, edition 127, chapter 0, pages 1291-1305, Springer.
    10. 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.
    11. Righi, Angela Weber & Saurin, Tarcisio Abreu & Wachs, Priscila, 2015. "A systematic literature review of resilience engineering: Research areas and a research agenda proposal," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 142-152.
    12. 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.
    13. Olivier Lambrechts & Erik Demeulemeester & Willy Herroelen, 2011. "Time slack-based techniques for robust project scheduling subject to resource uncertainty," Annals of Operations Research, Springer, vol. 186(1), pages 443-464, June.
    14. Kobylanski, Przemyslaw & Kuchta, Dorota, 2007. "A note on the paper by M. A. Al-Fawzan and M. Haouari about a bi-objective problem for robust resource-constrained project scheduling," International Journal of Production Economics, Elsevier, vol. 107(2), pages 496-501, June.
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