Abstract
In this chapter, six sigma is defined as a method for problem solving. It is perhaps true that the main benefits of six sigma are: (1) the method slows people down when they solve problems, preventing them from prematurely jumping to poor recommendations that lose money; and (2) six sigma forces people to evaluate quantitatively and carefully their proposed recommendations. These evaluations can aid by encouraging adoption of project results and in the assignment of credit to participants.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bloom BS (ed) (1956) Taxonomy of educational objectives. In: Handbook I: Cognitive domain. Longmans, Green and Co., New York
Clausing D (1994) Total quality development: a step-by-step guide to world-class concurrent engineering. ASME Press, New York
Collins J (2001) Good to great: why some companies make the leap… and others don’t. Harper-Business, New York
Czitrom V (1999) One-factor-at-a-time versus designed experiments. Am Stat 53(2):126–131
Fisher RA (1925) Statistical methods for research workers. Oliver and Boyd, London
Hahn GJ, Hill WJ, Hoer RW, Zinkgraft SA (1999) The impact of six sigma improvement—a glimpse into the future of statistics. Am Stat 532:208–215
Harry MJ, Schroeder R (1999) Six sigma, the breakthrough management strategy revolutionizing the world’s top corporations. Bantam Doubleday Dell, New York
Hazelrigg G (1996) System engineering: an approach to information-based design. Prentice Hall, Upper Saddle River, NJ
Kaynak H (2003) The relationship between total quality management practices and their effects on firm performance. J Oper Manag 21:405–435
Linderman K, Schroeder RG, Zaheer S, Choo AS (2003) Six sigma: a goal-theoretic perspective. J Oper Manag 21:193–203
Montgomery DC (2012) Statistical quality control, 7th edn. Wiley, New York.
Pande PS, Neuman RP, Cavanagh R (2000) The six sigma way: how GE, Motorola, and other top companies are honing their performance. McGraw-Hill, New York
Taguchi G (1993) Taguchi methods: research and development. In: Konishi S (ed) Quality engineering series, vol 1. The American Supplier Institute, Livonia, MI
Welch J, Welch S (2005) Winning. HarperBusiness, New York
Womack JP, Jones DT (1996) Lean thinking. Simon & Schuster, New York
Womack JP, Jones DT, Roos D (1991) The machine that changed the world: the story of lean production. 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). Introduction. In: Introduction to Engineering Statistics and Lean Six Sigma. Springer, London. https://doi.org/10.1007/978-1-4471-7420-2_1
Download citation
DOI: https://doi.org/10.1007/978-1-4471-7420-2_1
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-4471-7419-6
Online ISBN: 978-1-4471-7420-2
eBook Packages: EngineeringEngineering (R0)