عنوان مقاله [English]
Since the ago times, maritime transportation has been considered as a one of the most effective, secure and economical ways for shipment of goods and humans. However, maritime accidents are the subject can cause a huge damage on the maritime transportation. In the recent decades, there has been a lot of effort to reduce and control maritime transportation damage (For example, the International Maritime Organization conventions such as SAR, SALVAGE and MARPOL can be mentioned). However, the maritime accident occurrence is still high. The conditions of Iran are the same. Iran maritime industry are facing with various type of maritime accidents and these accidents result in human and asset casualties. Therefore, it is imperative to implement appropriate plan in this subject. The planning of the maritime Search and Rescue (SAR / S&R) vessel fleet in Maritime Rescue Coordination Centers (MRCCs) is an important problem that can control and reduce the damages caused by maritime accidents remarkably. In this research, we utilized the general concepts of ‘Fleet Composition Problem (FCP)’ and ‘Maritime Fleet Size and Mix Problem (MFSMP)’ to provide a bi-objective (Twofold Objective) mathematical model on the basic of mixed-integer programming (MIP). This model is aimed to specify the composition (size and mix), deployment (assignment fleet to stations of MRCCs), and adjustment of vessel fleet (through chartering, lay-upping and sharing strategy) in a MRCCs. We ran a pilot study on MRCCs that located in the south of Iran (the Persian Gulf and the Oman Sea) for a quarterly planning period (three months - spring season). We optimized the relative mathematical model by a mixture of our heuristic for constraint handling and Grouping Evolution Strategy (GES) algorithms. Our model could successfully cover the demands and determine the adjustment strategies in a reasonable vessel fleet’s utilization cost: 72 million USD during the planning period.