Research on Order Batching Problem of Intelligent Warehouse Picking System

Abstract

Because of its high efficiency and flexibility, the intelligent warehousing picking system has gradually become the development trend of order picking system of the e-commerce logistics distribution center. The intelligent warehousing picking system is a kind of “parts-to-picker” operation mode, in which the logistics robot carries the shelf to the designated picking station for picking operation. In order to improve the efficiency of order picking, this paper studies the order batching problem under this new picking mode, establishes a mathematical model, and proposes an improved dynamic clustering algorithm.