An experiment to compare the combined array and the product array for robust parameter design

Joachim Kunert, Corinna Auer, Martina Erdbrügge and Roland Göbel

No 2003,13, Technical Reports from Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen

Abstract: The paper reports a robust parameter design experiment, where we have used Taguchi's product array and a combined array simultaneously. This was done as part of a research project dealing with experimental design to optimise the process of sheet metal spinning. We found that the classical analysis of the product array identified a control factor, which has an influence on the variance of the response. There were no indications of this effect in the combined array. A confirmation experiment supports the finding that this factor in fact is a control factor. It seems that its effect on the variance is due to several two- and three-factor interactions that were not large enough to be found in the combined array. In the authors' opinion this shows that the use of a product array and the classical analysis provides robustness against imprecise model assumptions.

Keywords: Robust parameter design; noise factor; design factor; signal to noise ratio; product array; combined array; interaction plot (search for similar items in EconPapers)
Date: 2003
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