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A multi-objective model for locating search and rescue boats

Author

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  • Razi, Nasuh
  • Karatas, Mumtaz

Abstract

We present the Incident Based-Boat Allocation Model (IB-BAM), a multi-objective model designed to allocate search and rescue resources. The decision of where to locate search and rescue boats depends upon a set of criteria that are unique to a given problem such as the density and types of incidents responded in the area of interest, resource capabilities, geographical factors and governments’ business rules. Thus, traditional models that incorporate only political decisions are no longer appropriate. IB-BAM considers all these criteria and determines optimal boat allocation plans with the objectives of minimizing response time to incidents, fleet operating cost and the mismatch between boats’ workload and operation capacity hours.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ejores:v:254:y:2016:i:1:p:279-293
    DOI: 10.1016/j.ejor.2016.03.026
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    Citations

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    Cited by:

    1. Kerim Dogan & Mumtaz Karatas & Ertan Yakici, 2020. "A model for locating preventive health care facilities," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(3), pages 1091-1121, September.
    2. Karatas, Mumtaz & Sulukan, Egemen & Karacan, Ilknur, 2018. "Assessment of Turkey's energy management performance via a hybrid multi-criteria decision-making methodology," Energy, Elsevier, vol. 153(C), pages 890-912.
    3. 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.
    4. 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.
    5. Karatas, Mumtaz, 2017. "A multi-objective facility location problem in the presence of variable gradual coverage performance and cooperative cover," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1040-1051.
    6. Karatas, Mumtaz & Yakıcı, Ertan, 2019. "An analysis of p-median location problem: Effects of backup service level and demand assignment policy," European Journal of Operational Research, Elsevier, vol. 272(1), pages 207-218.
    7. Zhao, Xian & Lv, Zuheng & Qiu, Qingan & Wu, Yaguang, 2023. "Designing two-level rescue depot location and dynamic rescue policies for unmanned vehicles," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
    8. 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.
    9. 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.
    10. Mozhu Wang & Jianming Yao, 2023. "A reliable location design of unmanned vending machines based on customer satisfaction," Electronic Commerce Research, Springer, vol. 23(1), pages 541-575, March.

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