← 返回國際論壇講者 Synopsis
Manufacturing endeavors, in a continuously pursuit of productivity and quality, are often challenged by unexpected complexities in the production systems. These are the occasions when traditional manufacturing paradigms underperform due to human operator’s limitations on handling uncertainties, complexities, big data volume, and time urgencies. The recent advance of AI technology is strategically positioned to deliver superior performance over traditional manufacturing by virtue of autonomous analyzing, learning, prediction, and decision making so as to apprehend uncertainties and complexities, and enhance quality, cost, and efficiency. Unlike traditional manufacturing, AI-driven manufacturing systems store and analyze large volume of phenomenological observations to propel higher productivity and cut time-to-market. This presentation is to provide a longitudinal perspective on various aspects of recent achievements in the utilization of design, scheduling, maintenance, and control. Concepts, requirements, applications, and methodologies are elaborated along with their limitations and pitfalls. It also presents futuristic views on the nature of AI technology and how it can further thrust the competitiveness of next-generation factories.
Biographical Sketch
PhD in Mechanical Engineering from University of California at Berkeley. Regents’ Professor and Morris M. Bryan Jr. Professor in Mechanical Engineering for Advanced Manufacturing Systems at Georgia Institute of Technology, USA. Research on data science and physics-driven analysis of precision machining and additive manufacturing processes and systems. Supervised over 90 Post-Doctoral studies, Ph.D. dissertations, and M.S. theses. Disseminated research work in over 800 archival articles, 7 books, and 40+ international conference keynotes. Served as Corporate President of publicly traded Walsin Lihwa Corp of US$6+-billion revenue, President of North American Manufacturing Research Institution/Society of Manufacturing Engineers (SME), and Chair of Manufacturing Engineering Division/American Society of Mechanical Engineers (ASME). Chaired 12 flagship international conferences in manufacturing engineering. Presently Technical Editor of International Journal of Precision Engineering and Manufacturing and Editor-in-Chief of Journal of Manufacturing and Materials Processing. Accolades included Robert B. Douglas Outstanding Young Manufacturing Engineer Award of SME, Ralph R. Teetor Education Award of Society of Automotive Engineers, Blackall Machine Tool and Gage Award of ASME, Outstanding Service Award of ASME, Milton C. Shaw Manufacturing Research Medalist of ASME, Outstanding Lifelong Service Award of SME, Gold Medal of SME, and ScholarGPS Highly Ranked Lifetime Scholar for top 0.05% scholarly contributions in Manufacturing worldwide. Donated to Georgia Tech the Jen and Steven Liang Professorship for Excellence in Mechanical Science and Engineering in 2026 as the first sitting academic faculty member to endow a perpetual professorship across the University System of Georgia of 25 Institutions. The only Georgia Tech engineering faculty member elected to the grade of Regent’s Professor in 2025 and 2026. Fellow of ASME, SME, and AET.
Presentation Language｜ English