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

Amin Akbari (), Ronald Pelot and H. A. Eiselt
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Amin Akbari: Dalhousie University
Ronald Pelot: Dalhousie University
H. A. Eiselt: University of New Brunswick

Annals of Operations Research, 2018, vol. 267, issue 1, No 2, 3-28

Abstract: 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.

Keywords: Location analysis; Multi-objective optimization; Maritime search and rescue; Scenarios planning; Goal programming (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (6)

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DOI: 10.1007/s10479-017-2593-1

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