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Yard storage planning for minimizing handling time of export containers

机译:堆场存储计划,以最小化出口集装箱的处理时间

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We consider multiple factors of allocating yard storage space to export containers in a terminal under heavy workloads and with a limited yard storage capacity. We aim at expediting container handling in yards and thus we attempt to balance workloads, shorten yard-to-berth transport distances and minimize the number of sub-blocks with handling jobs. To tackle various objectives in this yard storage allocation, we introduce a hierarchical analytical method that decomposes the planning procedure into two stages. We first optimize workload distribution across the whole yard. Thereafter, we propose a flexible yard allocation strategy and attempt to stack export containers into a minimum number of sub-blocks in the yard so as to facilitate yard crane operation and increase yard space utilization. We present integer programming formulations for these two sub-problems and then solve these two models iteratively by introducing additional parameters and constraints into the formulations. Experimental results indicate that this method is efficient and effective in obtaining good storage templates in the yard by achieving minimum handling time for export containers. Further discussions explore the results of yard space utilization and busy rate in yard blocks when providing different sizes of sub-blocks that contributes to the setting up of suitable sub-blocks in a terminal according to the capacity of its storage space and container handling devices.
机译:我们考虑了分配堆场存储空间以在繁重的工作量和有限的堆场存储容量的终端中导出集装箱的多种因素。我们旨在加快堆场中的集装箱装卸速度,因此,我们试图平衡工作量,缩短堆场到泊位的运输距离并最大程度地减少处理作业的子区块数量。为了解决该堆场存储分配中的各种目标,我们引入了一种层次分析方法,该方法将规划过程分解为两个阶段。我们首先优化整个院子的工作量分配。此后,我们提出了一种灵活的堆场分配策略,并尝试将出口集装箱堆叠到堆场中最少数量的子区块中,以方便堆场起重机操作并提高堆场空间利用率。我们为这两个子问题提供了整数规划公式,然后通过在公式中引入其他参数和约束来迭代求解这两个模型。实验结果表明,该方法通过最小化出口集装箱的处理时间,在院子里获得良好的存储模板方面是有效的。当提供不同大小的子块时,进一步的讨论探索了堆场中的堆场空间利用率和繁忙率的结果,这些子块有助于根据其存储空间和集装箱装卸设备的容量在终端中设置合适的子块。

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