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“数字+”与之江统计讲坛(第28讲)12月21日新加坡国立大学Loon Ching TANG教授来我院讲座预告
( 来源:   发布日期:2022-12-12 阅读:次)

题目:Reliability Engineering: From practice to theory

报告人:Dr  Loon Ching TANG

讲座时间:2022年12月21日(星期三),14:00

讲座地点:腾讯会议:601-425-788

交流平台:哔哩哔哩,直播网址:https://live.bilibili.com/22938843

报告人简介:


         Dr  Loon Ching TANG is currently a professor of Department of Industrial Systems Engineering & Management at the National University of Singapore and elected Fellow of the Academy of Engineering, Singapore. He obtained his Ph.D degree from Cornell University in the field of Operations Research in 1992 and has published extensively in areas related to industrial engineering and operations research. He has been presented with a number of best paper awards including the IIE Transactions 2010 Best Application Paper Award and 2012 R.A. Evans/P.K. McElroy Award for the best paper at Annual RAMS. Prof Tang is the main author of the award-winning book: Six Sigma: Advanced Tools for Black Belts and Master Black Belts. Besides being active in the forefront of academic research, in the last 30 years, Prof Tang has served as a consultant for many organizations, such as the Ministry of Home Affair, Singapore Power Grid, Republic of Singapore Air Force, Seagate, HP, Phillips, etc, on a wide range of projects aiming at improving organizational and operations efficiency; especially through better management of engineering assets. He is currently a fellow of ISEAM, the Co-Editor-in-Chief of Quality & Reliability Engineering International, editorial review board member of Journal of Quality Technology and a member of the advisory board of the School of Engineering of Temasek Polytechnic.


摘要:


In this presentation, we first go through some of the actual industrial projects related to reliability that we have been involved with over the past 30 years to highlight the gaps between practice and theory in reliability engineering. This is followed by elucidating the development of various approaches in bridging these gaps. In particular, we discuss the gaps between research and applications in accelerated testing and degradation modeling, and listed some of the associated results over the years. We also point out some of the directions for future research in response to some of the problems faced by in degradation and repairable systems.



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