An optimisation model to design a maritime search and rescue system under uncertainty

被引：0
作者：
Rahmani D. [1 ]
Ebrahimi S.B. [1 ]
Kian H. [1 ]
机构：
[1] Department of Industrial Engineering, K.N. Toosi University of Technology, Tehran
来源：
International Journal of Applied Decision Sciences | 2023年 / 17卷 / 01期
关键词：
fuzzy theory; location problem; maritime search and rescue; mathematical programming; stochastic programming;
D O I：
10.1504/IJADS.2024.135209
中图分类号：
学科分类号：
摘要：
Unfavourable weather conditions, disruptions in equipment, and human error are the factors that lead to maritime accidents. In such cases, delays in providing relief may lead to catastrophic events. Hence, this paper presents a bi-objective mixed-integer linear programming (MILP) model for marine search and rescue under uncertainty. The purpose of the proposed model is to minimise total costs and the completion time of operations, simultaneously. Helicopters and ships equipped with rescue and relief equipment are applied for maximum coverage. We use a stochastic scenario-based approach to cope the uncertain response time. A fuzzy solution approach is developed to deal with the uncertainty and solve the proposed bi-objective model. Finally, an algorithm is presented to generate data using probabilistic distribution functions, and the performance of the proposed model is evaluated by eight simulated problems. The results obtained for the simulated problems and the sensitivity analysis of the coefficients of the objective functions show the effectiveness of the proposed model. Copyright © 2024 Inderscience Enterprises Ltd.
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收藏
页码：120 / 135
页数：15
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