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- Title
OFF-LINE QUALITY CONTROL AND ILL-DESIGNED DATA.
- Authors
Logothetis, N.
- Abstract
'Bad' data resulting from ill-designed experiments or in-production/after-production monitoring require a careful use of proper statistical techniques for their analysis. Prior exploration of the available data is of paramount importance especially if we wish to apply off-line quality control techniques such as the Taguchi method. A stepwise approach is proposed involving data analysis and straightforward significance tests, which can ensure statistically valid and useful conclusions.
- Subjects
TAGUCHI methods; QUALITY control; FACTORY management; STANDARDIZATION; RELIABILITY in engineering; SCIENTIFIC method
- Publication
Quality & Reliability Engineering International, 1987, Vol 3, Issue 4, p227
- ISSN
0748-8017
- Publication type
Article
- DOI
10.1002/qre.4680030405