Design And Implementation Of Intelligent Warehousing Optimization Management System

In the development of the market economy to the present society,advanced information technology and scientific management concepts have gradually become the main means to improve and produce benefits,and to enhance the core competitiveness of the enterprise market.Modern management personnel are accustomed to paying attention to the reduction of costs,but the cost of goods,storage,inventory,etc.have limits,and the continuous reduction of production costs has led to an increase in production efficiency,which is very unfavorable for the long-term development of enterprises.At present,the continuous development of e-commerce technology and physical network technology,and people's consumption patterns are constantly changing,the role of logistics in people's lives is more and more important.The warehouse work mode can be repositioned to meet the business needs of all aspects of logistics and warehousing in the modern e-commerce environment.To effectively improve the efficiency of warehousing,this aspect has become a problem that researchers have paid attention to.In view of the low efficiency of data collection and processing,the low level of intelligence and informationization and the lag of business operations in the intelligent warehouse management process,this paper analyzes the Internet of Things technology and radio frequency identification technology,and proposes the intelligence based on radio frequency identification technology.Through the system implementation and test results,the intelligent warehouse optimization management system designed in this paper can realize the transformation and upgrade of the traditional warehouse management mode,realize the automatic reading and automatic input of information data,and provide fast and accurate data.Collecting input means,solving problems in the warehouse management process for enterprises,and improving the efficiency and management level of warehouse management.