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Minimizing port staying time for container terminal with position based handling time

机译:通过基于位置的处理时间,最大限度地减少集装箱码头的港口停留时间

摘要

Nowadays, maritime transport operations have become even busier. Due to the limited physical facilities, some vessels will be transferred to other terminals for services. Transferring vessels may reduce the waiting time, however, this induces extra transshipment cost, bad reputation, and potential customer loss. To consider such practical issues, a bi-objective Berth Allocation Problem (BAP) model is proposed. Moreover, vessel priority is another practical concern. In literature, they are divided into two streams, i) customer importance; and ii) handling volume. They give vessel priority by considering only one single factor, but both factors are important. The objective of this paper is to propose a Genetic Algorithm (GA) to minimize port staying time and transfer rate with the consideration of vessel priority. The results show that the proposed approach is able to obtain solutions with good performance in all the factors.
机译:如今,海上运输业务变得更加繁忙。由于有限的物理设施,一些船只将被转移到其他码头进行服务。转运船只可以减少等待时间,但是,这会导致额外的转运费用,声誉差和潜在的客户流失。为考虑此类实际问题,提出了一种双目标泊位分配问题(BAP)模型。而且,船只优先是另一个实际问题。在文献中,它们分为两个流:i)客户重要性; ii)处理量。他们只考虑一个因素就给予了船只优先权,但是这两个因素都很重要。本文的目的是提出一种遗传算法(GA),以在考虑船舶优先权的情况下最小化港口停留时间和转运率。结果表明,该方法能够在所有因素下获得性能良好的解决方案。

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