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The quay crane scheduling problem with nonzero crane repositioning time and vessel stability constraints

机译:具有非零起重机重新安置时间和船只稳定性约束的码头起重机调度问题

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摘要

The continuous growth in worldwide container terminals' traffic resulted in an increasing interest for the Quay Crane Scheduling Problem (QCSP) in research and practice. This problem consists of scheduling the discharge and load operations of the containers of a vessel by a set of quay cranes; the objective is to minimize the completion time in an attempt to increase container terminal throughput In the literature, most of the proposed studies focus on improving model formulation and solution methods with a trend, in most recent papers, to incorporate more realistic features of the problem. Despite the importance given by practitioners to vessel stability in scheduling discharge and load operations, there is little research that considers this constraint. This paper presents a novel MIP formulation of the QCSP that takes into account vessel stability constraints. Furthermore, the proposed model is very flexible in handling various settings of the QCSP, such as those related to crane traveling time, task preemption and unidirectional quay crane operating mode. In order to tackle problem complexity, a Genetic Algorithm (GA) is proposed. Computational results validate the MIP formulation on small-sized problems and highlight the performance of the proposed GA.
机译:全球集装箱码头交通量的持续增长导致人们对码头起重机调度问题(QCSP)的研究和实践越来越感兴趣。这个问题包括通过一组码头起重机安排船舶集装箱的卸货和装载作业。目的是最大程度地减少完成时间,以尝试提高集装箱码头的吞吐量。在文献中,大多数提议的研究都集中在改进模型制定和求解方法上,在最近的论文中,这种趋势趋向于纳入问题的更现实的特征。 。尽管从业者在计划卸货和装载作业时对船舶稳定性给予了重视,但很少有研究考虑到这一限制。本文介绍了一种新型的QCSP MIP公式,该公式考虑了船舶的稳定性约束。此外,提出的模型在处理QCSP的各种设置(例如与起重机行进时间,任务抢占和单向码头起重机操作模式有关的设置)时非常灵活。为了解决问题的复杂性,提出了一种遗传算法(GA)。计算结果验证了针对小问题的MIP公式,并突出了拟议GA的性能。

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