MANUFACTURING RESOURCES INFORMATION INTELLIGENT RETRIEVAL SYSTEM MODEL BASED ON ASP PLATFORM
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 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.
Manufacturing resources Appliance service provider (ASP) Information retrieval Supply chain Data mining
Zhang Jian Wang Bin
School of Economics, Wuhan University of Technology, Wuhan, Hubei, 430070, China;Guizhou Academy of School of Mechanical Engineering, Yancheng Institute of Technology, Yancheng Jiangsu, 224002, China
国际会议
5th International Conference on e-Engineering & Digital Enterprise Technology(第5届e工程及数字企业国际学术会议)
贵阳
英文
189-193
2006-08-16（万方平台首次上网日期，不代表论文的发表时间）