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Cost-Optimal-Based Model for the Berth Allocation Problem by Mixed Integer Programming

机译:混合整数规划的泊位分配问题基于成本优化的模型

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Multimodal transportation can improve transportation efficiency and further reduce logistics cost. The reloading efficiency between different transportation modes becomes more and more important in multimodal transportation. The operational efficiency in seaport terminals is of paramount importance for international multimodal transportation, so it is necessary to research the berth allocation problem. This paper addresses the berth allocation problem under a cost-based objective. Its goal is to allocate the available berthing positions and schedule the berthing time for the container vessels in order to minimize the total operation cost in seaport terminals. Total operation cost is mainly embodied with additional travel cost and penalty cost due to non-optimal berth allocation. In previous papers, the authors have developed and presented the berth allocation problem based on time limitation, whose goal is to minimize the total waiting time of all vessels. In view of the steadily growing cost in seaport terminal operation, this paper proposes a cost-optimal-based model for the berth allocation problem. A numerical example is conducted by mixed integer programming and calculated by AMPL. The result shows that the optimization model is feasible.
机译:多式联运可以提高运输效率,并进一步降低物流成本。在多式联运中,不同运输方式之间的重载效率变得越来越重要。海港码头的运营效率对于国际多式联运至关重要,因此有必要研究泊位分配问题。本文讨论了基于成本的目标下的泊位分配问题。其目标是为集装箱船分配可用的停泊位置并安排停泊时间,以最大程度地减少海港码头的总运营成本。总运营成本主要体现为由于非最优泊位分配而产生的额外差旅成本和罚款成本。在先前的论文中,作者已经开发并提出了基于时间限制的泊位分配问题,其目的是使所有船只的总等待时间最小化。鉴于港口码头运营成本的稳定增长,本文提出了一种基于成本最优的泊位分配问题模型。数值示例通过混合整数编程进行,并由AMPL计算。结果表明,该优化模型是可行的。

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