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

Author

Listed:
  • Kunert, Joachim
  • Auer, Corinna
  • Erdbrügge, Martina
  • Göbel, Roland

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.

Suggested Citation

  • Kunert, Joachim & Auer, Corinna & Erdbrügge, Martina & Göbel, Roland, 2003. "An experiment to compare the combined array and the product array for robust parameter design," Technical Reports 2003,13, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    • Handle: RePEc:zbw:sfb475:200313
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    References listed on IDEAS

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    1. J. Engel, 1992. "Modelling Variation in Industrial Experiments," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 41(3), pages 579-593, November.
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