Research on warehouse management system based on association rules

Abstract

Warehouse management is important for the development of enterprises. A good warehouse management system can enable enterprises to operate solid foundation. Using the method of manual records of data to manage enterprise warehouses has been unable to meet the current development needs of warehouse management. In this paper, we apply the Apriori algorithm to the warehouse management system. And we use the Apriori algorithm of data mining to analyze the records of the amount of goods in the warehouse, and the association rules between the goods are obtained. According to the association rules obtained by the system, the system can analyze the amount of the goods involved in the association rules. If the amount of goods is less than the minimum inventory or less than half of the maximum inventory, the system will recommend the names of goods that need to be purchased at the same time for the procurement staff. The method proposed by us can help procurement staff save time, and it can also reduce the influence of the shortage of goods for sales.