Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/49369
Authors: 
Kunert, Joachim
Auer, Corinna
Erdbrügge, Martina
Göbel, Roland
Year of Publication: 
2003
Series/Report no.: 
Technical Report // Universität Dortmund, SFB 475 Komplexitätsreduktion in Multivariaten Datenstrukturen 2003,13
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.
Subjects: 
Robust parameter design
noise factor
design factor
signal to noise ratio
product array
combined array
interaction plot
Document Type: 
Working Paper

Files in This Item:
File
Size
344.49 kB
871.53 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.