Six Sigma (PDF)
Advanced Tools for Black Belts and Master Black Belts
(Sprache: Englisch)
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 measuring and
improving an organization's operational...
Sigma concepts and a selection of up-to-date tools for quality
improvement in industry.
Six Sigma is a widely used methodology for measuring and
improving an organization's operational...
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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 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.
Sigma concepts and a selection of up-to-date tools for quality
improvement in industry.
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.
Autoren-Porträt von Loon Ching Tang, Thong Ngee Goh, Hong See Yam, Timothy Yoap
Loon Ching Tang, Industrial & Systems EngineeringDepartment, 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
Bibliographische Angaben
- Autoren: Loon Ching Tang , Thong Ngee Goh , Hong See Yam , Timothy Yoap
- 2007, 426 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 0470061995
- ISBN-13: 9780470061992
- Erscheinungsdatum: 04.04.2007
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