Research On The Optimization Of Order Picking In E-commerce Enterprise Distribution Center

With the development of Internet information technology,especially the outbreak of global COVID-19,the e-commerce industry has been developing rapidly.At the same time,the number of customer orders received in the small batch and lots of the e-commerce industry has increased significantly,and the demand for distribution centers of e-commerce enterprises has been increasing.As a core business of distribution center,picking affects the operation cost and efficiency of distribution center.Therefore,it is of great practical significance to optimize the picking operation of distribution centers in e-commerce enterprises.The picking operation of distribution center involves many links,and there are many links that can be optimized.This paper mainly studies the picking path strategy and order batching problem in the picking operation of distribution center.Firstly,combined with the characteristics of E-Commerce orders,the S-type picking path strategy commonly used in e-commerce distribution centers is improved,that is,the combination of S-type picking strategy and mid point picking strategy;Secondly,considering the characteristics of current e-commerce customers’ high demand for order timeliness,the requirement of order completion timeliness is introduced into order optimization batching,and an order batching optimization model with the minimum total order picking time and the maximum order completion within the timeliness requirement is constructed.Secondly,considering the large number of orders in the e-commerce distribution center and the variety of feasible schemes in batches,the traditional ant colony algorithm may lead to slow convergence speed in the initial stage of the algorithm and fall into the local optimal solution,Finally,the improved ant colony algorithm is used to solve the order batch optimization model.In order to verify the effectiveness of order optimization,this paper selects the distribution center of a e-commerce enterprise for application.Firstly,it introduces the background of the distribution center and the status quo of the operation process of the optimization scheme,and obtains the basic data of the order.The algorithm is simulated in MATLAB,and the order batch optimization model is solved to find out the optimal scheme of order picking.Finally,it is compared with the original picking scheme of a e-commerce enterprise to verify the feasibility and effectiveness of the optimization method and model proposed in this paper.The results show that the optimized picking scheme can effectively reduce the total picking time and the walking distance of the order picker,and pick more goods within the order time.At the same time,the research on the optimization of order picking can also provide reference for other similar e-commerce enterprises.