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Assessing the Performance of a SAR Boat Location-Allocation Plan via Simulation

Assessing the Performance of a SAR Boat Location-Allocation Plan via Simulation

Mumtaz Karatas, Nasuh Razi, Hakan Tozan
Copyright: © 2020 |Pages: 37
ISBN13: 9781799825357|ISBN10: 1799825353|ISBN13 Softcover: 9781799825364|EISBN13: 9781799825371
DOI: 10.4018/978-1-7998-2535-7.ch007
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MLA

Karatas, Mumtaz, et al. "Assessing the Performance of a SAR Boat Location-Allocation Plan via Simulation." Improving the Safety and Efficiency of Emergency Services: Emerging Tools and Technologies for First Responders, edited by Information Resources Management Association, IGI Global, 2020, pp. 142-178. https://doi.org/10.4018/978-1-7998-2535-7.ch007

APA

Karatas, M., Razi, N., & Tozan, H. (2020). Assessing the Performance of a SAR Boat Location-Allocation Plan via Simulation. In I. Management Association (Ed.), Improving the Safety and Efficiency of Emergency Services: Emerging Tools and Technologies for First Responders (pp. 142-178). IGI Global. https://doi.org/10.4018/978-1-7998-2535-7.ch007

Chicago

Karatas, Mumtaz, Nasuh Razi, and Hakan Tozan. "Assessing the Performance of a SAR Boat Location-Allocation Plan via Simulation." In Improving the Safety and Efficiency of Emergency Services: Emerging Tools and Technologies for First Responders, edited by Information Resources Management Association, 142-178. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2535-7.ch007

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Abstract

Maritime search and rescue (SAR) operation is a critical process that aims to minimize the loss of life, injury, and material damage by rendering aid to persons in distress or imminent danger at sea. Optimal allocation of SAR vessels is a strategic level process that is to be carried out with a plan to react rapidly. This chapter seeks to evaluate the performance of a SAR boat location plan using simulation. The proposed methodology in this chapter works in two stages: First, an optimal allocation scheme of SAR resources is determined via a multi-objective mathematical model. Next, simulation is used to test the performance of the analytical solution under stochastic demand. With the heaviest traffic and maritime risk, the methodology is applied to a case study in the Aegean Sea.

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