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Optimal bi-criterion planning of rescue and evacuation operations for marine accidents using an iterative scheduling algorithm

Author

Listed:
  • Chi To Ng

    (The Hong Kong Polytechnic University)

  • T. C. E. Cheng

    (The Hong Kong Polytechnic University)

  • Eugene Levner

    (Holon Institute of Technology)

  • Boris Kriheli

    (Ashkelon Academic College)

Abstract

We consider the problem of real-life evacuation of people at sea. The primary disaster response goal is to minimize the time to save all the people during the evacuation operation, taking into account different groups at risk (children, women, seniors etc.) and the evacuation processing time (including the routing time), subject to a budget constraint. There are different evacuation tools (e.g., lifeboats, salvage ships, sea robots, helicopters etc.) for rescuing groups at risk to some safe points (e.g., hospitals, other ships, police offices etc.). The evacuation processing time of a group at risk depends on the group and the evacuation tool used. The secondary goal is to minimize the cost among all the alternative optimal solutions for the primary goal. We present a new mathematical rescue-evacuation model and design a fast solution method for real-time emergency response for different population groups and different evacuation tools, based on iterative utilization of a modification of the scheduling algorithm introduced by Leung and Ng (Eur J Oper Res 260:507–513, 2017).

Suggested Citation

  • Chi To Ng & T. C. E. Cheng & Eugene Levner & Boris Kriheli, 2021. "Optimal bi-criterion planning of rescue and evacuation operations for marine accidents using an iterative scheduling algorithm," Annals of Operations Research, Springer, vol. 296(1), pages 407-420, January.
    • Handle: RePEc:spr:annopr:v:296:y:2021:i:1:d:10.1007_s10479-020-03632-6
    DOI: 10.1007/s10479-020-03632-6
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    References listed on IDEAS

    as
    1. Urmila Pyakurel & Tanka Nath Dhamala, 2017. "Continuous Dynamic Contraflow Approach for Evacuation Planning," Annals of Operations Research, Springer, vol. 253(1), pages 573-598, June.
    2. Bakuli, David L. & MacGregor Smith, J., 1996. "Resource allocation in state-dependent emergency evacuation networks," European Journal of Operational Research, Elsevier, vol. 89(3), pages 543-555, March.
    3. Caunhye, Aakil M. & Nie, Xiaofeng & Pokharel, Shaligram, 2012. "Optimization models in emergency logistics: A literature review," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 4-13.
    4. Choi, W. & Hamacher, H. W. & Tufekci, S., 1988. "Modeling of building evacuation problems by network flows with side constraints," European Journal of Operational Research, Elsevier, vol. 35(1), pages 98-110, April.
    5. Elalouf, Amir & Levner, Eugene & Cheng, T.C.E., 2013. "Routing and dispatching of multiple mobile agents in integratedenterprises," International Journal of Production Economics, Elsevier, vol. 145(1), pages 96-106.
    6. Amin Akbari & Ronald Pelot & H. A. Eiselt, 2018. "A modular capacitated multi-objective model for locating maritime search and rescue vessels," Annals of Operations Research, Springer, vol. 267(1), pages 3-28, August.
    7. Deepa Mishra & Sameer Kumar & Elkafi Hassini, 2019. "Current trends in disaster management simulation modelling research," Annals of Operations Research, Springer, vol. 283(1), pages 1387-1411, December.
    8. Leung, Joseph Y-T. & Ng, C.T., 2017. "Fast approximation algorithms for uniform machine scheduling with processing set restrictions," European Journal of Operational Research, Elsevier, vol. 260(2), pages 507-513.
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