Please use this identifier to cite or link to this item:
Title: Statistical control of a Six Sigma process
Authors: Goh, T.N. 
Xie, M. 
Keywords: Cumulative count control chart
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.
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
ISSN: 08982112
DOI: 10.1081/QEN-120018391
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Jan 24, 2018

Page view(s)

checked on Jan 21, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.