Abstract
The purposes of this chapter are: (1) to describe six sigma strategy and (2) to propose opportunities for additional research and evolution of six sigma. Part I of this book describes several methods that can structure activities within a project. Part II focuses on design of experiment (DOE) methods that can be used inside six sigma projects. DOE methods are complicated to the extent that decision-making about them might seem roughly comparable to decision-making about an entire project.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Allen TT, Bernshteyn M (2003) Supersaturated designs that maximize the probability of finding the active factors. Technometrics 45:1–8
Allen TT, Yu L, Schmitz J (2003) The expected integrated mean squared error experimental design criterion applied to die casting machine design. J R Stat Soc Ser C: Appl Stat 52:1–15
Bisgaard S, Freiesleben J (2000) Quality quandaries: economics of six sigma program. Qual Eng 13:325–331
Box GEP, Hunter JS (1961) The 2k-p fractional factorial designs, part I. Technometrics 3:311–351
Brady JE (2005) Six sigma and the university: research, teaching, and meso-analysis. Ph.D dissertation, Industrial & Systems Engineering, The Ohio State University, Columbus
Brady JE, Allen TT (accepted) Six sigma: a literature review and suggestions for future research. In: Montgomery D (ed) Quality and reliability engineering international (special issue)
DeGroot MH (1970) Optimal statistical decisions. McGraw-Hill, New York
Goh TN, Low PC, Tsui KL, Xie M (2003) Impact of six sigma implementation on stock price performance. Total Qual Manag Bus Excell 14:753–763
Hoerl RW (2001) Six sigma black belts: what do they need to know? J Qual Technol 33:391–406
Hazelrigg G (1996) System engineering: an approach to information-based design. Prentice Hall, Upper Saddle River, NJ
Montgomery D (ed) (2001) Beyond six sigma. Qual Reliab Eng Int 17(4):iii–iv
Puterman ML (1994) Markov decision processes: discrete stochastic dynamic programming. Wiley, New York
Ribardo C, Allen TT (2003) An alternative desirability function for achieving six sigma quality. Qual Reliab Eng Int 19:1–14
Shewhart WA (1931) Economic quality control of manufactured product. ASQ, Milwaukee, WI (reprinted 1980)
Welch J, Welch S (2005) Winning. Harper Business, New York
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2019 Springer-Verlag London Ltd., part of Springer Nature
About this chapter
Cite this chapter
Allen, T.T. (2019). Lean Sigma Project Design. In: Introduction to Engineering Statistics and Lean Six Sigma. Springer, London. https://doi.org/10.1007/978-1-4471-7420-2_22
Download citation
DOI: https://doi.org/10.1007/978-1-4471-7420-2_22
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-4471-7419-6
Online ISBN: 978-1-4471-7420-2
eBook Packages: EngineeringEngineering (R0)