Batch Picking Method and Its Application in Library Returning Service

Abstract

Arranging books on the shelves is a key part of the library returning service. The batch picking method for the operations of logistics distribution centers is used in arranging books in the stacks based on considering the characteristics of library returning service. The returned books in a fixed time interval are collected as an order. The batch picking method is proposed based on association rule data mining and 0-1 integer programming. The associations between orders are mined by the apriori algorithm. Orders are grouped into batches by establishing and solving 0-1 integer programming to maximize the support value between orders. This model is applied in an academic library and application results show the effectiveness of the proposed method.