Please use this identifier to cite or link to this item:
|Title:||Guest editorial: Statistical thinking and experimental design as dual drivers of DFSS|
|Keywords:||Design for Six Sigma|
Design of experiments
|Source:||Goh, T.N. (2009). Guest editorial: Statistical thinking and experimental design as dual drivers of DFSS. International Journal of Six Sigma and Competitive Advantage 5 (1) : 2-9. ScholarBank@NUS Repository. https://doi.org/10.1504/IJSSCA.2009.024286|
|Abstract:||The application of statistical Design of Experiments (DOE) in Quality Management has been formalised in Six Sigma through its implementation in the Improve phase of the Define-Measure-Analyse-Improve-Control or DMAIC cycle. With the emergence of Design for Six Sigma (DFSS), DOE has assumed a critical role in activities leading to optimised performance of a new product or a process. DOE has even become a change agent in the way design engineers think and work, something the advocates of straight 'Statistical Thinking' has not been able to do readily. In this paper, the experience in the use of statistical tools, specifically DOE, in an industrial setting is described. Thought changes, such as the recognition of variation and the need for robustness in design and manufacturing, are brought about via DOE applications. A '5S' roadmap, or a Start-Secure-Setup-Scrutinise-Share sequence, has become a framework to make statistical thinking and the application of statistical tools part of organisational culture. Copyright © 2009, Inderscience Publishers.|
|Source Title:||International Journal of Six Sigma and Competitive Advantage|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 13, 2017
checked on Dec 8, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.