Access the full text.
Sign up today, get DeepDyve free for 14 days.
R. Hoerl (2001)
Six Sigma Black Belts: What Do They Need to Know?Journal of Quality Technology, 33
T. Pyzdek
The Six Sigma Handbook: A Complete Guide for Greenbelts, Blackbelts and Managers at All Levels
R. Snee (1999)
Why should statisticians pay attention to six sigmaQuality Progress, 32
M. Harry, Richard Schroeder (1999)
Six Sigma: The Breakthrough Management Strategy Revolutionizing the World's Top Corporations
William Rodebaugh, R. Snee (2002)
The Project Selection ProcessQuality Progress, 35
R. Snee (1990)
Statistical Thinking and Its Contribution to Total QualityThe American Statistician, 44
J. Antony, Ricardo Bañuelas (2002)
Key ingredients for the effective implementation of Six Sigma programMeasuring Business Excellence, 6
Cary Adams, Praveen Gupta, C. Wilson (2003)
Six Sigma Deployment
R.D. Snee
Impact of six sigma on quality engineering
R. Hoerl (1998)
SIX SIGMA AND THE FUTURE OF THE QUALITY PROFESSIONQuality Progress, 31
R.D. Snee, R.W. Hoerl
Leading Six Sigma Companies
T. Goh (2002)
A strategic assessment of six sigmaQuality and Reliability Engineering International, 18
M. Wolfe (1994)
J+ = JACM SIGPLAN Notices, 29
Forrest Breyfogle (1999)
Implementing Six Sigma: Smarter Solutions Using Statistical Methods
Pete Pande, R. Neuman, Roland Cavanagh (2002)
The Six Sigma WayTechnometrics, 44
Six sigma is a powerful business strategy that employs a disciplined approach to tackle process variability using the application of statistical and non‐statistical tools and techniques in a rigorous manner. This paper examines the pros and cons of six sigma in a detailed manner. This is followed by a section about the future of six sigma and its links to statistical thinking. It is believed that, although the total package may change, the applications of six sigma will continue to grow in the forthcoming years, due to the existence of sound principles of statistical thinking within the six sigma strategy.
The TQM Magazine – Emerald Publishing
Published: Aug 1, 2004
Keywords: Quality programmes; Management strategy; Statistical methods of analysis
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.