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Constrained clustering method for class-based storage location assignment in warehouse

机译:仓库中基于类的存储位置分配的约束聚类方法

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Purpose - Class-based storage has been studied extensively and proved to be an efficient storage policy. However, few literature addressed how to cluster stuck items for class-based storage. The purpose of this paper is to develop a constrained clustering method integrated with principal component analysis (PCA) to meet the need of clustering stored items with the consideration of practical storage constraints.
机译:目的-基于类的存储已被广泛研究,并被证明是一种有效的存储策略。但是,很少有文献讨论如何对卡住的项目进行聚类以进行基于类的存储。本文的目的是开发一种结合主成分分析(PCA)的约束聚类方法,以满足考虑实际存储约束的聚类存储项目的需求。

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