Loon Ching Tang, Industrial & Systems Engineering
Department, National University of Singapore, 1. Engineering Drive
2, Singapore 117576
Loon Ching Tang is currently Associate Professor at the Industrial
& Systems Engineering Department, National University of
Singapore. He has been lecturing at the University since 1992 and
his research interests include design for Six Sigma, reliability
testing and prediction for electronic products, and statistical
methods for quality improvement. He is also Manager of the Graduate
Programme, Leader of the Quality Engineering Research Group and
Deputy Head of Research in the department. Alongside his work at
the university, Professor Tang has consulted for companies such as
Philips (DAP), Hewlett-Packard, and the Ministry of Defence. He has
written over 50 journal articles, book chapters and edited and
written for the publication Operational Research Applications in
Singapore (Operational Research Society of Singapore).
Thong Nee Goh, Industrial & Systems Engineering
Department, National University of Singapore, 1. Engineering Drive
2, Singapore 117576
Thong Nee Goh is currently Professor at the Industrial &
Systems Engineering Department, National University of Singapore.
His research interests include statistical techniques for high
yield processes, experimental strategies for yield improvement of
complex processes and application of Six Sigma methodologies. He
also on the Editorial Board of a number of quality and reliability
engineering journals, including Quality Reliability Engineering
International (Wiley), and he authored the second most
downloaded article in 2004: «A Strategic Assessment of Six
Sigma».
Hong See Yam, Six Sigma Director (Asia Pacific), Seagate
Technology International
Timothy Yaop, Six Sigma Master Black Belt, Seagate
Technology International
1 Ebooks de Timothy Yoap
Hong See Yam & Loon Ching Tang: Six Sigma
The 2007 winner of the Masing Book Prize sets out important Six Sigma concepts and a selection of up-to-date tools for quality improvement in industry. Six Sigma is a widely used methodology for meas …
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