Batch Picking Method for Bookstore Distribution Center

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Abstract:

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.

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Advanced Materials Research (Volumes 1061-1062)

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1213-1219

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December 2014

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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