Warehouse Management Optimization:A Case Study Of Company A

With the vigorous development of e-commerce companies,in order to improve customer experience they are in the layout of the distribution of warehousing.To get accurate goods to the hands of consumers timely,the storage size increase.Customers in the online purchase of a small number of goods and diverse categories,which gave the company's warehousing and distribution to the higher requirements.How to operate large-scale,multi-category commodity warehouse,to enhance the efficiency of warehouse orders,the e-commerce companies need to solve the problern.X warehouse of A e business company is a relatively well-run warehouse,but its storage still has some problems,one is a lot of strong correlation between the types of goods stored in different picking area;Second,the implementation of gold storage system is in low efficiency;Third,slow sales storage is unreasonable,reducing the efficiency of picking.Through the comparison of storage efficiency and capacity comparison before and after storage optimization,it is found that using APRIORI algorithm to optimize storage structure can effectively improve warehouse operation efficiency and production capacity.At the same time,Warehouse gold storage and slow sales of goods were studied and given the optimization program.Optimized,capacity,full box rate,gold storage efficiency and picking efficiency have been improved.Finally,the article puts forward a dynamic monitoring model for the storage of X warehouse in order to manage the inventory more effectively in the rapidly changing consumption demand.The innovation of this paper is that it can reduce the computational complexity and improve the operability by sorting,storage,category and so on.The new gold storage definition method can improve the sorting efficiency.