The Application of Artificial Intelligence in Logistics Management Optimization Research

Abstract

In order to solve the problem of low efficiency and low accuracy in manual data collection in traditional logistics management systems and traditional warehouse management, the author proposes the application of artificial intelligence in logistics management optimization research. The author designed an RFID based warehouse management system that includes management layer, intermediate layer, and physical layer, focusing on the warehousing and warehousing operations in the production and manufacturing workshop. This system can optimize the traditional warehousing process, dynamically and intelligently perceive management objects, and achieve effective management and monitoring of warehousing management. Establish a simulation model using Flexsim software to simulate the inbound process and simulate the model entity in a relatively short period of time. The experimental results show that the total utilization rate of AGV in the simulation model reaches 72%. This method effectively solves the problems of slow data collection and low accuracy in traditional logistics warehousing processes.