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Berth allocation with service priority

机译：具有服务优先权的泊位分配

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Over the past several years, port related charges in Japanese ports have been substantially higher than those charged in other major international hub ports. All major container ports in Japan feature so-called Dedicated Terminals in which cost-effectiveness is justified by huge container volume to be handled. One of the reasons cited for high port charges is a relative decrease in handling volume compared to the terminal capacity, resulting in inefficient use of the existing capacity. The use of the Multi-User Container Terminal (MUT) concept employed in some of the major container hub ports such as Hong Kong, Pusan, Hamburg and Rotterdam reduces redundant terminal space and results in substantial cost savings in cargo handling costs and therefore is desired for ports in Japan as well. One of the key issues in the MUT operation is the berth allocation to calling vessels. In a recent study, an allocation problem for the MUT was examined, in which each vessel was treated equally. However, as some vessel operators desire high priority services, the goal of this paper is to modify the existing formulation of the berth allocation problem in order to treat calling vessels at various service priorities by developing a genetic algorithm based heuristic for the resulting non-linear problem.
机译：在过去的几年中，日本港口的港口相关收费已大大高于其他主要国际枢纽港口的收费。日本所有主要的集装箱港口都设有所谓的专用码头，在这些码头中，要处理大量的集装箱便具有成本效益。港口费用高的原因之一是，与码头容量相比，处理量相对减少，导致对现有容量的利用效率低下。在一些主要的集装箱枢纽港口（例如香港，釜山，汉堡和鹿特丹）采用的多用户集装箱码头（MUT）概念的使用减少了多余的码头空间，并导致可节省大量的货物装卸成本，因此是人们所期望的也适用于日本的港口。 MUT操作中的关键问题之一是给呼叫船分配泊位。在最近的一项研究中，对MUT的分配问题进行了检查，其中每个血管均被平等对待。但是，由于某些船舶运营商希望获得高优先级服务，因此本文的目的是通过开发基于遗传算法的启发式算法来解决由此产生的非线性问题，从而修改泊位分配问题的现有表述，以处理不同优先级的呼叫船舶问题。

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