Batch Picking Method for Bookstore Distribution Center

摘要

Order picking for bookstore distribution centers was studied. The batch picking method is proposed based on association rule data mining and 0-1 integer programming for the characteristics of bookstore distribution operations such as multi-variety, small-batch and high-frequency. The associations between orders is mined by apriori algorithm. Orders are grouped into batches by establishing and solving 0-1 integer programming to maximize the support value of association between orders. This model is applied in the bookstore distribution center and application results show the effectiveness of the proposed method.