Container Yard Allocation under Uncertainty

Yue Wu
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Abstract

This paper investigates allocation of space in storage yard to export containers under uncertain shipment information. We define two types of stacks: one is called the dedicated stack and the other is called the shared stack. Since containers meant for the same destination are assigned to dedicated stacks in the same block, no re-handling is required for containers in dedicated stacks. However, containers in shared stacks have different destinations; re-handling is required. We develop a two-stage stochastic recourse programming model for determining an optimal storage strategy, called the dual-response storage strategy. The first-stage response, regarding the allocation of containers to dedicated stacks, is made before accurate shipment information becomes available. The second-stage response, regarding allocation of additional containers to shared stacks, is taken after realization of stochasticity. Then, the unused spaces in the yard area can be released for other purposes. Computational results are provided to demonstrate the effectiveness of the proposed dual-response storage strategy obtained from the stochastic model.
不确定条件下的集装箱堆场配置
研究了运输信息不确定情况下出口集装箱堆场空间分配问题。我们定义了两种类型的堆栈:一种称为专用堆栈,另一种称为共享堆栈。由于用于相同目的地的容器被分配给同一块中的专用堆栈,因此不需要对专用堆栈中的容器进行重新处理。然而,共享堆栈中的容器有不同的目的地;需要重新处理。我们开发了一个两阶段随机资源规划模型来确定最优存储策略,称为双响应存储策略。第一阶段的响应是在获得准确的运输信息之前,将集装箱分配到专用堆栈。第二阶段的响应,关于额外的容器分配到共享堆栈,是在实现随机性之后进行的。然后,院子里未使用的空间可以被释放用于其他目的。计算结果验证了基于随机模型的双响应存储策略的有效性。
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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