A dynamic truck dispatching problem in marine container terminal

Jianjun Chen, Ruibin Bai, Haibo Dong, R. Qu, G. Kendall
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引用次数: 5

Abstract

In this paper, a dynamic truck dispatching problem of a marine container terminal is described and discussed. In this problem, a few containers, encoded as work instructions, need to be transferred between yard blocks and vessels by a fleet of trucks. Both the yard blocks and the quay are equipped with cranes to support loading/unloading operations. In order to service more vessels, any unnecessary idle time between quay crane (QC) operations need to be minimised to speed up the container transfer process. Due to the unpredictable port situations that can affect routing plans and the short calculation time allowed to generate one, static solution methods are not suitable for this problem. In this paper, we introduce a new mathematical model that minimises both the QC makespan and the truck travelling time. Three dynamic heuristics are proposed and a genetic algorithm hyperheuristic (GAHH) under development is also described. Experiment results show promising capabilities the GAHH may offer.
海运集装箱码头车辆动态调度问题
本文描述和讨论了一个海运集装箱码头的卡车动态调度问题。在这个问题中,编码为工作指令的几个集装箱需要由一队卡车在堆场块和船只之间转移。堆场和码头都配备了起重机来支持装卸作业。为了服务更多的船只,需要尽量减少码头起重机(QC)操作之间不必要的空闲时间,以加快集装箱转移过程。由于不可预测的端口情况会影响路由规划,且生成路由规划的计算时间较短,因此静态求解方法不适合此问题。在本文中,我们介绍了一个新的数学模型,以最小化质量控制的最大完工时间和卡车的行驶时间。提出了三种动态启发式算法,并描述了正在开发的遗传算法超启发式。实验结果显示了GAHH可能提供的有希望的功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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