A dynamic multi-objective location-allocation model for search and rescue assets |
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| Authors: | Mumtaz Karatas |
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| Institution: | 1. Department of Economics, Universidad Pablo de Olavide, Spain;2. Department of Statistics and Operations ResearchUniversidade de Vigo, Spain;1. Amazon, Seattle, WA, USA;2. Department of Electrical Engineering, Indian Institute of Technology (IIT), Kharagpur, India;3. School of Industrial Engineering, Purdue University, West Lafayette, IN, USA;4. Mathematics Department, United States Naval Academy, Annapolis, MD, USA;5. School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA;1. Universidade de Coimbra, Faculdade de Economia;2. Hospital Pediátrico- CHUC, Portugal;3. Universidade de Coimbra, CeBER and Inesc-Coimbra |
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| Abstract: | This paper presents a dynamic multi-objective mixed integer linear programming model to optimize the location and allocation of search and rescue (SAR) boats and helicopters to enhance the performance of maritime SAR missions. Our model incorporates simulated incident scenarios to account for demand uncertainty and allows relocation of vessels seasonally. We define three objectives as responding to incidents within a critical time, generating a balanced workload distribution among vessels of various types, and minimizing costs associated with operations and vessel relocations. Implementing a goal programming approach, we solve the problem for various objective function term weights and compare the performance of each solution with respect to 10 different metrics. Using historical incident datasets for the Aegean Sea, we show that the proposed model and solution approach can significantly improve the SAR performance and provide decision support for planners in developing effective and efficient resource location-allocation schemes. |
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