Enterprise Warehouse Picking Path Optimization And System Design Study

With the development of economic globalization, market integration and information technology, Logistics activity tends to fully customer service process characters, more and more socialization and information technology requirements. To secure successful running and achieving to excellent enterprise and social economic efforts, Logistics becomes more and more importance as a bridge between'supply'and'demand'. As a key process of Logistics system, picking up system is a very important role and its'efforts impact to the whole logistics operation. More and more advanced logistics technology are used into all processes in supply chain, such as automatic picking machine, automated storage and retrieval system (AS/RS) warehouse, automated telecom and electric data interface etc.. This study analyzed optimizations of materials picking route and control system designation, through order management, routes reengineering and intelligent logistics control system, to improve flexibility and efficiency in logistics operation system, reduce operating cost, improve customer service satisfaction rate and the enterprise logistics operating efficiency, and achieve the requirements of enterprise and social economic activities. So this study not only has economic benefits but also has deeply social benefits.This study includes four parts. Firstly, based on the different picking methods, studied some kinds of intelligent picking system, their characters and components, operating principles and controlling processes. Secondly, this study analyzed the optimization of picking processes with intelligent picking system, planning operation system and pick up routing selection system, especially studied the Neural network method. And this study discussed some options to improve picking efficiency too, including major elements which may impact the picking efficiency, operating models and processes for multi tasks etc. Thirdly, this study analyzed how to setup the controlling system with information technology for intelligent picking system and using radio frequency identification technology into picking system. Finally, this study took a case study to inditify and valid the efforts for above studies.In general, through cases study with intelligent picking up system, we known intelligent picking up system can improve the flexibility and efficiencys, and can optimize the relationship among each processes in picking up system. Implementing intelligent identification information into picking system can help and improve operating efficiency and efforts.