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- Title
Interactive data mining informs designed experiments.
- Authors
Gaudard, Marie; Ramsey, Philip; Stephens, Mia
- Abstract
We illustrate how a Six Sigma project team can apply recursive partitioning to a historical data set to narrow down a list of potential experimental factors and then construct an experimental design using information from the partition analysis. The paper illustrates the value of analyzing historical manufacturing data to inform the choice of factors and levels for statistically designed experiments. Copyright © 2008 John Wiley & Sons, Ltd.
- Subjects
EXPERIMENTAL design; STATISTICS; DATABASES; SIX Sigma; MANUFACTURED products
- Publication
Quality & Reliability Engineering International, 2009, Vol 25, Issue 3, p299
- ISSN
0748-8017
- Publication type
Article
- DOI
10.1002/qre.971