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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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    1. Current, J. R. & Re Velle, C. S. & Cohon, J. L., 1985. "The maximum covering/shortest path problem: A multiobjective network design and routing formulation," European Journal of Operational Research, Elsevier, vol. 21(2), pages 189-199, August.
    2. Cho, Cheol-Joo, 1998. "An equity-efficiency trade-off model for the optimum location of medical care facilities," Socio-Economic Planning Sciences, Elsevier, vol. 32(2), pages 99-112, June.
    3. Gerald G. Brown & Robert F. Dell & Robert A. Farmer, 1996. "Scheduling Coast Guard District Cutters," Interfaces, INFORMS, vol. 26(2), pages 59-72, April.
    4. 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.
    5. Owen, Susan Hesse & Daskin, Mark S., 1998. "Strategic facility location: A review," European Journal of Operational Research, Elsevier, vol. 111(3), pages 423-447, December.
    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. Eiselt, H.A. & Marianov, Vladimir, 2014. "A bi-objective model for the location of landfills for municipal solid waste," European Journal of Operational Research, Elsevier, vol. 235(1), pages 187-194.
    8. Badri, Masood A., 1999. "Combining the analytic hierarchy process and goal programming for global facility location-allocation problem," International Journal of Production Economics, Elsevier, vol. 62(3), pages 237-248, September.
    9. 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.
    10. Isabel Correia & M. Captivo, 2003. "A Lagrangean Heuristic for a Modular Capacitated Location Problem," Annals of Operations Research, Springer, vol. 122(1), pages 141-161, September.
    11. Badri, Masood A. & Mortagy, Amr K. & Alsayed, Colonel Ali, 1998. "A multi-objective model for locating fire stations," European Journal of Operational Research, Elsevier, vol. 110(2), pages 243-260, October.
    12. Brotcorne, Luce & Laporte, Gilbert & Semet, Frederic, 2003. "Ambulance location and relocation models," European Journal of Operational Research, Elsevier, vol. 147(3), pages 451-463, June.
    13. J Malczewski & W Ogryczak, 1996. "The Multiple Criteria Location Problem: 2. Preference-Based Techniques and Interactive Decision Support," Environment and Planning A, , vol. 28(1), pages 69-98, January.
    14. Kathleen Hogan & Charles ReVelle, 1986. "Concepts and Applications of Backup Coverage," Management Science, INFORMS, vol. 32(11), pages 1434-1444, November.
    15. Hasan Pirkul & David A. Schilling, 1988. "The Siting of Emergency Service Facilities with Workload Capacities and Backup Service," Management Science, INFORMS, vol. 34(7), pages 896-908, July.
    16. R. Francis & T. Lowe & M. Rayco & A. Tamir, 2009. "Aggregation error for location models: survey and analysis," Annals of Operations Research, Springer, vol. 167(1), pages 171-208, March.
    17. S I Harewood, 2002. "Emergency ambulance deployment in Barbados: a multi-objective approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(2), pages 185-192, February.
    18. Terry Ross, G. & Soland, Richard M., 1980. "A multicriteria approach to the location of public facilities," European Journal of Operational Research, Elsevier, vol. 4(5), pages 307-321, May.
    19. S. L. Hakimi, 1964. "Optimum Locations of Switching Centers and the Absolute Centers and Medians of a Graph," Operations Research, INFORMS, vol. 12(3), pages 450-459, June.
    20. Hui-Ping Ho & Ching-Ter Chang & Cheng-Yuan Ku, 2013. "On the location selection problem using analytic hierarchy process and multi-choice goal programming," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(1), pages 94-108.
    21. Kamyoung Kim & Alan T. Murray, 2008. "Enhancing Spatial Representation In Primary And Secondary Coverage Location Modeling," Journal of Regional Science, Wiley Blackwell, vol. 48(4), pages 745-768, October.
    22. Ohsawa, Yoshiaki, 1999. "A geometrical solution for quadratic bicriteria location models," European Journal of Operational Research, Elsevier, vol. 114(2), pages 380-388, April.
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    Cited by:

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