Inventory Planning Based on Knowledgeable Base and Self-learning Fuzzy Petri Nets

被引：0
|
作者：
Meng, X. G. [1 ]
Yan, H. S. [1 ]
机构：
[1] Southeast Univ, Sch Automat, Nanjing, Peoples R China
来源：
2009 IEEE 16TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS 1 AND 2, PROCEEDINGS | 2009年
关键词：
Petri nets; Knowledgeable Base; Inventory Management; NEURAL-NETWORKS; INFERENCE;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：984 / 988
页数：5
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