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dc.contributor.authorAuer, Corinnade
dc.contributor.authorErdbrügge, Martinade
dc.contributor.authorGöbel, Rolandde
dc.contributor.authorKunert, Joachimde
dc.description.abstractThe 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.en
dc.format.extent254093 bytes-
dc.format.extent892442 bytes-
dc.publisherUniversitätsbibliothek Dortmundde
dc.subjectrobust parameter designen
dc.subjectnoise factoren
dc.subjectdesign factoren
dc.subjectsignal to noise ratioen
dc.subjectproduct arrayen
dc.subjectcombined arrayen
dc.subjectinteraction ploten
dc.titleAn Experiment to Compare the Combined Array and the Product Array for Robust Parameter Designen
dcterms.accessRightsopen access-
Appears in Collections:Sonderforschungsbereich (SFB) 475

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