Please use this identifier to cite or link to this item: https://doi.org/10.1081/QEN-120018391
Title: Statistical control of a Six Sigma process
Authors: Goh, T.N. 
Xie, M. 
Keywords: Cumulative count control chart
DMAIC
Dpmo
Six Sigma
Statistical process control
Issue Date: Jun-2003
Source: Goh, T.N.,Xie, M. (2003-06). Statistical control of a Six Sigma process. Quality Engineering 15 (4) : 587-592. ScholarBank@NUS Repository. https://doi.org/10.1081/QEN-120018391
Abstract: Six Sigma as a methodology for quality improvement is often presented and deployed in terms of the dpmo metric, i.e., defects per million opportunities. As the sigma level of a process improves beyond three, practical interpretation problems could arise when conventional Shewhart control charts are applied during the Control phase of the define-measure-analyze-improve-control framework. In this article, some alternative techniques are described for the monitoring and control of a process that has been successfully improved; the techniques are particularly useful to Six Sigma Black Belts in dealing with high-quality processes. The approach used would thus ensure a smooth transition from a low-sigma process management to maintenance of a high-sigma performance in the closing phase of a Six Sigma project.
Source Title: Quality Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/63341
ISSN: 08982112
DOI: 10.1081/QEN-120018391
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