Manufacturing resources information intelligent retrieval system model based on ASP platform

被引:0
|
作者
Zhang Jian [1 ]
Wang Bin [1 ]
机构
[1] Wuhan Univ Technol, Sch Econ, Wuhan 430070, Hubei, Peoples R China
关键词
manufacturing resources; appliance service provider (ASP); information retrieval; supply chain; data mining;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A recent Study shows the competition between manufacturing enterprises has enlarged between two Supply chains. In this trend, Appliance Service Provider (ASP) has distinguished itself by helping manage middle and small enterprises' data, providing appliance Support, and saving supply chain link cost. Through the ASP platform, searching partners and organizing of a supply chain have been in vogue. Thus a special manufacturing resources (MR) retrieval system is paramount for the ASP platform based manufacturing resources management in dynamic environments. In this research, we study manufacturing resources taxonomy, and employ artificial intelligence domain knowledge, then propose a manufacturing resource multi-layer retrieval model. In the paper we also bring forward MR knowledge expression method and way of knowledge database design. The whole I system structure and its working principle are illustrated in the paper. The design methods and working principles Of user model, user interface and push-pull subsystem are also analyzed and narrated in detail in the paper.
引用
收藏
页码:189 / 193
页数:5
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