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A fuzzy robust planning model in the disaster management response phase under precedence constraints

Author

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  • Sina Nayeri

    (University of Tehran)

  • Zeinab Sazvar

    (University of Tehran)

  • Jafar Heydari

    (University of Tehran)

Abstract

This study analyzes the rescue team assignment problem as a critical issue in disaster management rescue operations. A mathematical model is proposed to minimize the total weighted completion time of the relief operations. This model considers some real-world features, such as precedence constraints, time windows, and different types of vehicles, which have been rarely addressed in the literature collectively. To mitigate the risk of uncertainty, a fuzzy robust optimization method is developed to deal with uncertain parameters such as the severity level of incidents, relief times, and travel times. The proposed model is successfully examined on a real data set from a flood in Agh-Qala, Iran, and the results verify its applicability in real-world conditions. Since the proposed model is an NP-hard problem, a hybrid metaheuristic algorithm (a combination of genetic algorithm and particle swarm optimization) is developed to optimally solve it for large-scale instances. Numerical experiments show that the algorithm can find high-quality solutions in a reasonable time. Several sensitivity analyses are also performed on the main parameters, and some promising managerial insights for disaster management practitioners are derived.

Suggested Citation

  • Sina Nayeri & Zeinab Sazvar & Jafar Heydari, 2022. "A fuzzy robust planning model in the disaster management response phase under precedence constraints," Operational Research, Springer, vol. 22(4), pages 3571-3605, September.
    • Handle: RePEc:spr:operea:v:22:y:2022:i:4:d:10.1007_s12351-022-00694-1
    DOI: 10.1007/s12351-022-00694-1
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    References listed on IDEAS

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    Cited by:

    1. Bowen Guo & Wei Zhan, 2023. "Research on Integrated Scheduling of Multi-Mode Emergency Rescue for Flooding in Chemical Parks," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    2. Wang, Weiqiao & Yang, Kai & Yang, Lixing & Gao, Ziyou, 2023. "Distributionally robust chance-constrained programming for multi-period emergency resource allocation and vehicle routing in disaster response operations," Omega, Elsevier, vol. 120(C).

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