The storage allocation in the export yard of a container terminal determines the efficiency of container loading. Even if the yard manager has optimised the allocation of export containers to avoid rehandling, conflicts among loading quay cranes can still occur. Thus, all the possible handlings during loading must be considered when organising the yard space. In previous studies, the yard storage allocation has been assessed based on the subblock, which consists of several adjacent bays. However, to minimise all possible handlings in the loading process at the terminal, optimising more flexible storage clusters is also important. Thus, our aim in this research is to model the choice of loading clusters and derive a more flexible allocation strategy for organising the space in the export yard. A bi-objective model is built, which considers both the transportation distance and handling balance between blocks. A model aimed at minimising all possible handlings in the export yard for the loading process is also developed, and several of the insights derived can inform yard management in real-life operations. It is proven that the handling requirements have a significant effect on the choice of loading clusters, and yard managers should consider the various features of liner and loading processes when organising their storage space.

集装箱码头出口场中的存储分配决定了集装箱装载的效率。即使堆场管理者优化了出口集装箱的分配以避免重新处理，装载码头起重机之间仍可能发生冲突。因此，在组织院子空间时，必须考虑装载过程中所有可能的处理。在先前的研究中，已根据子区块（由几个相邻的海湾组成）评估了堆场存储分配。但是，为了最大程度地减少终端加载过程中所有可能的处理，优化更灵活的存储集群也很重要。因此，我们在本研究中的目的是对装载集群的选择进行建模，并得出一种更灵活的分配策略来组织出口场中的空间。建立了双目标模型，它既考虑了运输距离，又考虑了区块之间的处理平衡。还开发了一种旨在最小化出口场中用于装载过程的所有可能装卸的模型，所得出的一些见解可为现实操作中的场管理提供信息。事实证明，搬运要求对装货组的选择有重大影响，堆场管理者在组织存储空间时应考虑班轮和装货过程的各种特点。