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Optimizing the landside operation of a container terminal

机译:优化集装箱码头的陆运

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This paper concerns the problem of operating a landside container exchange area that is serviced by multiple semi-automated rail mounted gantry cranes (RMGs) that are moving on a single bi-directional traveling lane. Such a facility is being built by Patrick Corporation at the Port Botany terminal in Sydney. The gantry cranes are a scarce resource and handle the bulk of container movements. Thus, they require a sophisticated analysis to achieve near optimal utilization. We present a three-stage algorithm to manage the container exchange facility, including the scheduling of cranes, the control of associated short-term container stacking, and the allocation of delivery locations for trucks and other container transporters. The key components of our approach are a time scale decomposition, whereby an integer program controls decisions across a long time horizon to produce a balanced plan that is fed to a series of short time scale online subproblems, and a highly efficient space-time divisioning of short-term storage areas. A computational evaluation shows that our heuristic can find effective solutions for the planning problem; on real-world data it yields a solution at most 8% above a lower bound on optimal RMG utilization.
机译:本文涉及操作陆上集装箱交换区域的问题,该区域由在单个双向行车道上移动的多台半自动轨道安装龙门起重机(RMG)提供服务。帕特里克公司(Patrick Corporation)正在悉尼的Port Botany码头建造这种设施。龙门起重机是一种稀缺资源,可以处理大部分集装箱运动。因此,他们需要进行复杂的分析才能获得接近最佳的利用率。我们提出了一个三阶段算法来管理集装箱交换设施,包括起重机的调度,与之相关的短期集装箱堆垛的控制以及卡车和其他集装箱运输车的交货地点的分配。我们方法的关键组成部分是时间尺度分解,即整数程序控制较长时间范围内的决策,以产生一个平衡的计划,该计划被馈入一系列短时间尺度的在线子问题,以及高效的时空划分。短期存放区。计算评估表明,我们的启发式方法可以找到规划问题的有效解决方案;在实际数据上,它可以提供比最佳RMG利用率下限高出最多8%的解决方案。

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