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Optimization of Emergency Material Dispatch from Multiple Depot Locations to Multiple Disaster Sites

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  • Wei Wang

    (College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China)

  • Li Huang

    (School of Public Administration, Hohai University, Nanjing 210098, China)

  • Zhaoxia Guo

    (Business School, Sichuan University, Chengdu 610065, China)

Abstract

This study establishes an optimization model of emergency material dispatch with the objectives of the highest reliability and lowest cost when the time frame is uncertain and the emergency material must be dispatched from multiple depot locations to multiple disaster sites. Because the two objectives are not consistent with one another, we propose an algorithm for solving the model by introducing the concept of ideal points, whereby the ideal point between the two objectives is considered the best plan. The study also proves the feasibility and validity of the algorithm with real-life examples.

Suggested Citation

  • Wei Wang & Li Huang & Zhaoxia Guo, 2017. "Optimization of Emergency Material Dispatch from Multiple Depot Locations to Multiple Disaster Sites," Sustainability, MDPI, vol. 9(11), pages 1-8, October.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:11:p:1978-:d:116866
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    References listed on IDEAS

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    Cited by:

    1. Li, Haiying & Li, Xian & Xu, Xinyue & Liu, Jun & Ran, Bin, 2018. "Modeling departure time choice of metro passengers with a smart corrected mixed logit model - A case study in Beijing," Transport Policy, Elsevier, vol. 69(C), pages 106-121.
    2. Wei Wang & Li Huang & Xuedong Liang, 2018. "On the Simulation-Based Reliability of Complex Emergency Logistics Networks in Post-Accident Rescues," IJERPH, MDPI, vol. 15(1), pages 1-10, January.
    3. Jianfeng Lu & Xiaoxia Wang & Jiahong Zhao, 2021. "Optimization of Emergency Supplies Scheduling for Hazardous Chemicals Storage Considering Risk," Sustainability, MDPI, vol. 13(19), pages 1-15, September.
    4. Yongqiang Zhang & Zhuang Hu & Min Zhang & Wenting Ba & Ying Wang, 2022. "Emergency Response Resource Allocation in Sparse Network Using Improved Particle Swarm Optimization," IJERPH, MDPI, vol. 19(16), pages 1-11, August.

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