نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانش آموخته کارشناسی ارشد، دانشکده عمران دانشگاه علم و صنعت ایران
2 عضو هیات علمی دانشکده عمران دانشگاه علم و صنعت ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Ports are important hubs connecting maritime transportation to other transportation modes. So, ports are considered important infrastructures for freight transportation, world trade, and the global economy. Consequently, optimizing port plans and operations will play a significant role in transportation costs and port revenues. Berth allocation and quay crane assignment are two problems whose optimal solution can affect freight transportation costs. This paper solves the berth allocation problem and the quay crane assignment problem by integratively modeling two meta-heuristic algorithms (genetics and restricted search). On the other hand, berth planning is in a disrupted environment, and unexpected events may occur during the plan's implementation and incur additional costs for the port or even prevent the implementation of the initial program; Therefore, the berth program must be recovered after the disruption. Recovery of the initial plan is usually made with two strategies: rescheduling and disruption management. This paper compares the two strategies of rescheduling and disruption management. The data from Shahid Rajaei port is used to evaluate the models and recovery strategies. The numerical results of this paper showing better performance for rescheduling strategies.
کلیدواژهها [English]
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