| Summary: | 碩士 === 國立交通大學 === 管理學院工業工程與管理學程 === 105 === The objective of storage assignment in the warehouse management is to reduce the order picking distance and save labor cost. Most literature related to storage assignment policies focus on the class-based policy and EIQ (Order Entry, Item, Quantity) analysis to find the product properties, such as turnover rate and order frequency. The traditional approaches used the analysis of the transaction data, while this paper applies the data mining to find the weighted association rules with the product forecast ship quantity. The weighted association rule emphasizes the relationship of products and turnover rate in future. Finally, the real world case shows that the weighted association rule decreases travel distances by 22%, and the statistical results show that our proposed mechanism can significantly improve the performance of reduce the picking distances.
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