Department of Industrial and Systems Engineering, Chung-Yuan Christian University
Department of Industrial Management
National Taiwan University of Science and Technology, Taipei, Taiwan, ROC
Department of Industrial and Systems Engineering, Chung-Yuan Christian University
Dynamic situation of semiconductor manufacturing service companies’ demand for a system framework that integrates organization knowledge management (KM) intelligence and decision making features to tackle the current challenges posed by the competitive environment and the pressure of increasing customer service level. This study develops a systematic framework that responds to such challenges efficiently. This framework allows a KM centric intelligent manufacturing system (KCIMS) which builds on organizational knowledge resources and works with advance product quality planning (APQP) concept as well as intelligent agents. The proposed framework reflects how an intelligent agent seeks significant inroads into process knowledge repository to recommend a solution for decision making in delivering semiconductor manufacturing services.
Keywords:Intelligent Manufacturing Systems, Knowledge Management, Semiconductor Manufacturing
(*Contact: E-mail kjwang@mail.ntust.edu.tw )
Cite this article as: T.C. Houa, Dah-Chuan Gong, Kung-Jeng Wang, Vijay Shekhar Jhab and Chun-Chih Chiua, "Knowledge Management Centric Intelligent Manufacturing Systems for Semiconductor Manufacturing Services Industry," Journal of the Chinese Institute of Industrial Engineers, 25, 510-518 (2008).