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Fractional Factorial Designs for the Detection of Interactions between Design and Noise Factors

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In industrial experiments on both design (control) factors and noise factors aimed at improving the quality of manufactured products, designs are needed which afford independent estimation of all design├Śnoise interactions in as few runs as possible, while allowing aliasing between those factorial effects of less interest. An algorithm for generating orthogonal fractional factorial designs of this type is described for factors at two levels. The generated designs are appropriate for experimenting on individual factors or for experimentation involving group screening of factors.
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Keywords: Algorithms; alias count vectors; regular fractional factorials; tables of designs

Document Type: Research Article

Affiliations: 1: School of Mathematics and Applied Statistics, University of Wollongong, Australia 2: Mathematics Department, University of Southampton, UK 3: Statistics Department, The Ohio State University, OH, USA

Publication date: June 1, 2004

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