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|Title:||Statistical control of a Six Sigma process|
|Authors:||Goh, T.N. |
|Keywords:||Cumulative count control chart|
Statistical process control
|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|
|Appears in Collections:||Staff Publications|
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