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T. Goh (2002)
The Role of Statistical Design of Experiments in Six Sigma: Perspectives of a PractitionerQuality Engineering, 14
R. Hoerl (2001)
Six Sigma Black Belts: What Do They Need to Know?Journal of Quality Technology, 33
Thomas Rbement (1993)
Fundamentals of quality control and improvement
G. Hahn, N. Doganaksoy, R. Hoerl (2000)
THE EVOLUTION OF SIX SIGMAQuality Engineering, 12
T. Tylutki, D.G. Fox
Moving toward six sigma
David Treichler, B. Carmichael, A. Kusmanoff, John Lewis, Gwendolyn Berthiez (2002)
Design for six sigma: 15 lessons learnedQuality Progress, 35
R. Does, E. Heuvel, J. Mast, S. Bisgaard (2002)
Comparing Nonmanufacturing with Traditional Applications of Six SigmaQuality Engineering, 15
T. Tylutki, D. Fox (2002)
MOOOOVING TOWARD SIX SIGMA-A QUALITY MANAGEMENT PROGRAM HELPS ONE FARM MANAGE ITS FEED COSTS, 35
M. Harry, R. Schroeder
Six Sigma: The Breakthrough Strategy Revolutionizing the World's Top Corporations
Inc. Minitab
Minitab Reference Manual, Release #14
R. Hoerl (1998)
SIX SIGMA AND THE FUTURE OF THE QUALITY PROFESSIONQuality Progress, 31
R.D. Snee
Six sigma improves both statistical training and processes
R. Hoerl, R. Snee (2001)
Statistical Thinking: Improving Business Performance
J. Lucas (2002)
THE ESSENTIAL SIX SIGMAQuality Progress, 35
Jiju Antony, Maneesh Kumar, Manoj Tiwari (2005)
An application of Six Sigma methodology to reduce the engine-overheating problem in an automotive companyProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 219
Applications of the six sigma methodology to quality improvement abound in various sectors. A tremendous interest and increase in such practices have been witnessed in manufacturing and non‐manufacturing areas. Sound application of the six sigma methodology requires a thorough grounding in the statistical concepts and foundations, the inherent assumptions made in using the techniques, and their limitations. Academia, therefore, has an important role to play in meeting these objectives.
The TQM Magazine – Emerald Publishing
Published: Aug 1, 2004
Keywords: Quality programmes; Universities; Curricula; Business studies; Statistical methods
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