Inventory Planning Based on Knowledgeable Base and Self-learning Fuzzy Petri Nets
In order to improve design,purchase,produce and inventory management efficiency of follow-up products,we present an establishment method of knowledgeable base and a self-learning fuzzy Petri nets(SFPN) model in knowledgeable manufacturing system. The SFPN model store existing products model in knowledge base,while a follow-up product is developed or a new decision is made,the model of existing product can be read,modified and trained,used as that of follow-up product,it can effectively improve the efficiency of enterprise management. A case study of the method to forecasting parts inventory verifies its validity.
Petri nets Knowledgeable Base Inventory Management
X.G.Meng H.S.Yan
School of Automation,Southeast University,Nanjing,China
国际会议
北京
英文
984-988
2009-10-21（万方平台首次上网日期，不代表论文的发表时间）