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A dynamic multi-objective location-allocation model for search and rescue assets

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  • Karatas, Mumtaz

Abstract

This paper presents a dynamic multi-objective mixed integer linear programming model to optimize the location and allocation of search and rescue (SAR) boats and helicopters to enhance the performance of maritime SAR missions. Our model incorporates simulated incident scenarios to account for demand uncertainty and allows relocation of vessels seasonally. We define three objectives as responding to incidents within a critical time, generating a balanced workload distribution among vessels of various types, and minimizing costs associated with operations and vessel relocations. Implementing a goal programming approach, we solve the problem for various objective function term weights and compare the performance of each solution with respect to 10 different metrics. Using historical incident datasets for the Aegean Sea, we show that the proposed model and solution approach can significantly improve the SAR performance and provide decision support for planners in developing effective and efficient resource location-allocation schemes.

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  • Karatas, Mumtaz, 2021. "A dynamic multi-objective location-allocation model for search and rescue assets," European Journal of Operational Research, Elsevier, vol. 288(2), pages 620-633.
    • Handle: RePEc:eee:ejores:v:288:y:2021:i:2:p:620-633
    DOI: 10.1016/j.ejor.2020.06.003
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    References listed on IDEAS

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    1. Abi-Zeid, Irene & Frost, John R., 2005. "SARPlan: A decision support system for Canadian Search and Rescue Operations," European Journal of Operational Research, Elsevier, vol. 162(3), pages 630-653, May.
    2. 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.
    3. Yu Guo & Yanqing Ye & Qingqing Yang & Kewei Yang, 2019. "A Multi-Objective INLP Model of Sustainable Resource Allocation for Long-Range Maritime Search and Rescue," Sustainability, MDPI, vol. 11(3), pages 1-25, February.
    4. George O. Wesolowsky, 1973. "Dynamic Facility Location," Management Science, INFORMS, vol. 19(11), pages 1241-1248, July.
    5. Afshartous, David & Guan, Yongtao & Mehrotra, Anuj, 2009. "US Coast Guard air station location with respect to distress calls: A spatial statistics and optimization based methodology," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1086-1096, August.
    6. Razi, Nasuh & Karatas, Mumtaz, 2016. "A multi-objective model for locating search and rescue boats," European Journal of Operational Research, Elsevier, vol. 254(1), pages 279-293.
    7. Mumtaz Karatas & Nasuh Razi & Murat M. Gunal, 2017. "An ILP and simulation model to optimize search and rescue helicopter operations," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1335-1351, November.
    8. Michael R. Wagner & Zinovy Radovilsky, 2012. "Optimizing Boat Resources at the U.S. Coast Guard: Deterministic and Stochastic Models," Operations Research, INFORMS, vol. 60(5), pages 1035-1049, October.
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