A methodology for integrating artificial intelligence into a quality management teaching environment
RIS ID
16150
Abstract
Management flight simulators provide a “microworld” in which users control an organization in a realistic environment without the need to disturb the real system. This paper presents a web-based intelligent virtual learning environment to enhance the education of engineering management students in quality management and statistical process control techniques. The paper introduces the structure and methodology for building this online learning environment. The simulated environment is based on an innovative approach which incorporates a Fuzzy Adaptive Resonance Theory Neural Network to enable students to obtain the best response by automatically identifying out of control conditions.
Publication Details
Chi, X. & Spedding, T. A. (2006). A methodology for integrating artificial intelligence into a quality management teaching environment. In J. Kennedy & L. Di Milia (Eds.), Proceedings of the Australian and New Zealand Academy of Management Conference (pp. 1-13). Rockhampton, Australia: Australian and New Zealand Academy of Management.