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A grouped storage method for minimizing relocations in block stacking systems

机译:一种用于在块堆叠系统中最小化重新分配的分组存储方法

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摘要

When storage and retrieval times of inventories are uncertain and the storage space for the inventories is limited, it is an important problem to assign the inventories to storage spaces so that the total expected number of relocations is minimized. This paper addresses a dynamic location problem as well as a static location problem. Mathematical models are proposed for obtaining the optimal solution. To overcome the excessive computational time of optimizing methods, a genetic algorithm is suggested. Also, simple heuristic rules are suggested to solve the dynamic location problem. Performance of various solution methods are compared with each other.
机译:当库存的存储和检索时间不确定并且库存的存储空间有限时,将库存分配给存储空间以使总的预计搬迁数量最小化是一个重要的问题。本文讨论了动态位置问题和静态位置问题。提出了数学模型以获得最优解。为了克服优化方法的过多计算时间,提出了一种遗传算法。此外,建议使用简单的启发式规则来解决动态位置问题。将各种解决方案方法的性能进行了比较。

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