This paper considers the integrated problem of quay crane assignment, quay crane scheduling, yard location assignment, and vehicle dispatching operations at a container terminal. The main objective is to minimize vessel turnover times and maximize the terminal throughput, which are key economic drivers in terminal operations. Due to their computational complexities, these problems are not optimized jointly in existing work. This paper revisits this limitation and proposes Mixed Integer Programming (MIP) and Constraint Programming (CP) models for the integrated problem, under some realistic assumptions. Experimental results show that the MIP formulation can only solve small instances, while the CP model finds optimal solutions in reasonable times for realistic instances derived from actual container terminal operations.
翻译:本文件审议了在集装箱码头分配四重起重机、四重起重机时间安排、院落地点分配和车辆调度作业等综合问题,主要目标是尽量减少船舶更替时间和最大限度地增加码头吞吐量,这些是码头作业中的主要经济驱动因素,由于这些问题的计算复杂性,在现有工作中没有加以优化,本文件重新审视了这一局限性,并根据一些现实的假设,提出了综合问题的混合整数编程和节制编程模型。实验结果表明,MIP的提法只能解决小的情况,而CP的模型则在合理时间找到最佳解决办法,以便从实际集装箱码头作业中得出符合现实的情况。