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Systems Reliability-Availability-Maintenance (RAM) Engineering


This course focuses on reliability data analysis for repairable systems with replaceable components/sub-systems under maintenance. It advocates the use of data-driven and reliability-centred strategies for achieving high system reliability with optimal cost/resources.

Learning Outcome

(1) To enhance the readiness and proficiency of engineers and managers involved in Reliability-Availability-Maintenance activities in a digital workplace.

(2) To provide a system view and the integration of reliability centred maintenance (RCM) with data analytics.

(3) To implement data driven RCM using the information derived from reliability data analysis using Excel.

(4) To enable engineers and managers to draw actionable insights through the analysis to support maintenance decisions.

Trainer Bio

Professor, Department of Industrial Systems Engineering & Management, National University of Singapore Prof Tang Loon Ching

Prof Tang Loon Ching

Professor, Department of Industrial Systems Engineering & Management, National University of Singapore

TANG Loon Ching is a Professor at the Department of Industrial Systems Engineering & Management (ISEM) in National University of Singapore (NUS). He has served as the Director of Temasek Defence Systems Institute from 2014 to 2020 and the Head of Department of ISEM from 2008-2015. He has been appointed as a honorary adjunct professor of the Harbin Institute of Technology from 2018-2022. He has also been elected as the Region Vice President (Asia) for the Institute of Industrial & Systems Engineers (IISE) from 2012-2015.

LC Tang obtained his PhD in the field of operations research from Cornell University in 1992 under the NUS Overseas Scholarship. Prior to that, he graduated with a BEng (first class honors) in mechanical engineering and MEng (ISE) from NUS. He has published widely in many leading international journals in the field of Industrial Engineering & Operations Management (IEOM). He was presented the IISE Transactions 2010 Best Application Paper Award and the prestigious Ralph A. Evans/P.K. McElroy Awards for the best paper presented at 2011 Reliability and Maintainability Symposium. Both awards were the first time that they went to authors who are Singapore-based researchers while the latter was also the first time that the award went to authors affiliated to an Asian University in its 58-year history. He has been named 2014 IEOM Outstanding Educator by the IEOM Forum. He is a Fellow of the International Society of Engineering Asset Management.

LC Tang is the Editor-in-Chief of Quality and Reliability Engineering International, an international journal devoted to practical engineering aspects of quality and reliability; and has been on the editorial review board of the Journal of Quality Technology, which is the flagship journal of American Society for Quality, since 2006, among others. He is the main author of the book: Six Sigma: Advanced Tools for Black Belts and Master Black Belts (which is the winner of the inaugural Masing Book Prize by International Academy of Quality); and a co-author of Markov-Modulated Processes and Semiregenerative phenomena.  He is one of the founding members of Global Ports Research Alliance, IIE Asian Network and the steering committee of Logistics and Maritime Systems Conference Series; and has served as the General Chair of these conference series during their formation years. In recent years, he has focused his research on systems resilience and is a principal investigator of the Future Resilient systems programme (phase I and II) funded by the National Research foundation. He has frequently been invited as a keynote speaker for international conferences in the field of industrial engineering and reliability.


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