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

Author

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  • K. G. Russell
  • S. M. Lewis
  • A. Dean

Abstract

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×noise 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.

Suggested Citation

  • K. G. Russell & S. M. Lewis & A. Dean, 2004. "Fractional Factorial Designs for the Detection of Interactions between Design and Noise Factors," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(5), pages 545-552.
    • Handle: RePEc:taf:japsta:v:31:y:2004:i:5:p:545-552
    DOI: 10.1080/02664760410001681800
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