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A modular capacitated multi-objective model for locating maritime search and rescue vessels

Author

Listed:
  • Amin Akbari

    (Dalhousie University)

  • Ronald Pelot

    (Dalhousie University)

  • H. A. Eiselt

    (University of New Brunswick)

Abstract

This paper presents a mathematical multi-objective model to optimize the location-allocation of maritime search and rescue (SAR) vessels with regard to several criteria, including primary and backup coverage and mean access time. Atlantic Canada serves as the area of the study and the Canadian Coast Guard has provided the necessary datasets and information. A goal programming multi-objective model is developed to optimize the location and allocation of SAR vessels to potential future incidents in order to achieve greater level of responsiveness and coverage. Comparing the optimal solution found to the current arrangement of SAR vessels, shows a substantial improvement in terms of access time and coverage. The results of the study provide decision makers with valuable insights to make more informed strategic and tactical decisions for more efficient management of the SAR fleet.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:annopr:v:267:y:2018:i:1:d:10.1007_s10479-017-2593-1
    DOI: 10.1007/s10479-017-2593-1
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    3. Jones, Dylan & Firouzy, Sina & Labib, Ashraf & Argyriou, Athanasios V., 2022. "Multiple criteria model for allocating new medical robotic devices to treatment centres," European Journal of Operational Research, Elsevier, vol. 297(2), pages 652-664.
    4. 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.
    5. Ariane Kayser & Florian Sahling, 2023. "Relocatable modular capacities in risk aware strategic supply network planning under demand uncertainty," Schmalenbach Journal of Business Research, Springer, vol. 75(1), pages 1-35, March.

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