Six Sigma: Advanced Tools for Black Belts and Master Black Belts
About this ebook
Six Sigma is a widely used methodology for measuring and improving an organization’s operational performance through a rigorous analysis of its practices and systems.
This book presents a series of papers providing a systematic ‘roadmap’ for implementing Six Sigma, following the DMAIC (Define, Measure, Analyse, Improve and Control) phased approach. Motivated by actual problems, the authors offer insightful solutions to some of the most commonly encountered issues in Six Sigma projects, such as validation of normality, experimentation under constraints and statistical control of complex processes. They also include many examples and case studies to help readers learn how to apply the appropriate techniques to real-world problems.
Key features:
- Provides a comprehensive introduction to Six Sigma, with a critical strategic assessment and a SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis.
- Presents some prominent design features of Six Sigma, and a newly proposed roadmap for healthcare delivery.
- Sets out information on graphical tools, including fishbone diagrams, mind-maps, and reality trees.
- Gives a thorough treatment of process capability analysis for non-normal data.
- Discusses advanced tools for Six Sigma, such as statistical process control for autocorrelated data.
Consolidating valuable methodologies for process optimization and quality improvement, Six Sigma: Advanced Tools for Black Belts and Master Black Belts is a unique reference for practising engineers in the electronics, defence, communications and energy industries. It is also useful for graduate students taking courses in quality assurance.
Ratings and reviews
About the author
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
