【188金博宝手机二维码·海外大师讲坛（第22期）】新加坡国立大学教授、新加坡工程院院士Tang Loon Ching（董润桢）教授学术报告通知

2026-06-12 11:54

188金博宝手机二维码·...

应机电工程学院闫纪红老师邀请，在金宝搏188手机登录网站部支持下，新加坡国立大学教授、新加坡工程院院士Tang Loon Ching（董润桢）教授于2026年6月15日-16日举行学术讲座，欢迎感兴趣的师生参加。

讲座时间：2026年6月15日（星期一）10:00-11:30

讲座地点：制造楼318会议室

讲座时间：2026年6月16日（星期二）14:30-16:00

讲座地点：制造楼318会议室

Tang Loon Ching教授个人简介：

Tang Loon Ching（董润桢）教授是新加坡国立大学工业系统工程与管理系教授, 2022年当选为新加坡工程院院士，2014-2020年间出任淡马锡国防系统学院院长，2012-2015年间当选国际工业与系统工程师协会（IISE）亚州区副主席（Region VP of Asia），也受邀成为国际工程资产管理协会会士。Tang Loon Ching教授的研究重点聚焦于系统韧性工程、质量与可靠性工程、物流及系统优化等, 在国际知名期刊累计发表百余篇高水平学术论文，同时担任多本国际权威学术期刊副主编及编委会成员，是首届国际质量学会马斯丁图书奖获得者。除了积极参与工业工程与运营管理研究外，Tang Loon Ching教授还受邀担任多家政府机构和跨国公司企业转型项目的顾问/培训师，涵盖精益六西格玛、六西格玛设计、工程资产管理、运筹学和可靠性工程等领域，培训并指导了上百名黑带大师。

第一场报告题目：First Passage Time of Degradation Models in Reliability

In this presentation, we shall give a historical account of degradation models and the associated first passage time distributions that were motivated from real world problems since 1960s. We then relate the resulting results to what were observed in practice and highlight the need to integrate stochastic modeling with statistical inferences and reliability-centered maintenance strategies so as to realize the value of reliability engineering in asset management. This is followed by a decades-old question on what is the stochastic process that will give rise to first passage time with “failure-free life”; i.e. an initial period of a product lifetime where no failure will occur. The necessary and sufficient condition for the existence of failure-free life is presented along with a case study of a large-scale system with high reliability requirements in Singapore.

第二场报告题目：Elements of New Quality Productive Forces: Quality, Innovation, and Resilience

This lecture will begin by examining the impact of major global events over the past three decades on industrial development worldwide. Starting from classical indicators of productivity, it will discuss how innovation drives Industry 4.0 and servitization in manufacturing, and how data, as a strategic asset, has become an essential component of systems thinking in addressing current challenges faced by industry. The lecture will then explore how cyber-physical systems can support the development of next-generation networked systems, and how artificial intelligence, system resilience, and sustainable development can be integrated to build a future-oriented industrial ecosystem.