Statistical Control of a Six Sigma Process |
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Authors: | T N Goh M Xie |
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Affiliation: |
a Department of Industrial and Systems Engineering, National University of Singapore, Singapore |
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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. |
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Keywords: | Six Sigma DMAIC dpmo Statistical process control Cumulative count control chart |
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