Please use this identifier to cite or link to this item: https://doi.org/10.1002/qre.1093
Title: Six Sigma in industry: Some observations after twenty-five years
Authors: Goh, T.N. 
Keywords: DMAIC
quality engineering
quality management
Six Sigma
Six Sigma training
statistical thinking
Issue Date: Mar-2011
Source: Goh, T.N. (2011-03). Six Sigma in industry: Some observations after twenty-five years. Quality and Reliability Engineering International 27 (2) : 221-227. ScholarBank@NUS Repository. https://doi.org/10.1002/qre.1093
Abstract: Six Sigma has enjoyed considerable popularity in the industry for about a quarter of a century. While the standard contents of Six Sigma have been described and discussed widely, some little articulated aspects of Six Sigma implementation deserve the attention of serious practitioners. In this paper, a '5W+1H' (What, Why, When Where, Who, How) format is used to elucidate the nature of Six Sigma in a non-mathematical discussion, followed by observations peculiar to the usual mode of development of Six Sigma professionals. It is pointed out that Six Sigma has Statistical Thinking as its foundation; for Six Sigma and its associated frameworks such as Design for Six Sigma and Lean Six Sigma to continue to be effective, it is important that users have a clear understanding of the nature of Six Sigma and be able to address the related challenges in practice. © 2010 John Wiley & Sons, Ltd.
Source Title: Quality and Reliability Engineering International
URI: http://scholarbank.nus.edu.sg/handle/10635/63317
ISSN: 07488017
DOI: 10.1002/qre.1093
Appears in Collections:Staff Publications

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