An Order Batching Clustering Algorithm of Fixed Maximum Order Number Based on Order Picking System

摘要

This research considering one working partition of order picking system as the research object, studies order batching problem and builds order batching model of fixed maximum order number. To solve the order batching model, the storage location similarity coefficient is token as clustering index, at the same time clustering algorithm is designed. This paper explores the application analysis of the algorithm and introduces case data. Simulation results indicate that clustering algorithm achieves effective order processing operations by combining small orders into batches. So that it has validity and feasibility to order picking.