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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 35, 2003 - Issue 4
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Articles

Robust Parameter Design with Categorical Noise Variables

William A. BrennemanThe Procter and Gamble Company, Mason, OH45040View further author information
&
William R. MyersThe Procter and Gamble Company, Mason, OH45040View further author information
Pages 335-341 | Published online: 16 Feb 2018

References

  • Bingham, D. R. and Li, W. (2002). “A Class of Optimal Robust Parameter Designs”. Journal of Quality Technology 34, pp. 244–259.
  • Borkowski, J. J. and Lucas, J. M. (1997). “Designs of Mixed Resolution for Process Robustness Studies”. Technometrics 39, pp. 63–70.
  • Borror, C. M. and Montgomery, D. C. (2000). “Mixed Resolution Designs as Alternatives to Taguchi Inner/Outer Array Designs for Robust Design Problems”. Quality and Reliability Engineering International 16. pp. 117–127.
  • Carlyle, W. M.; Montgomery, D. C.; and Runger, G. C. (2000). “Optimization Problems and Methods in Quality Control and Improvement”. Journal of Quality Technology 32, pp. 1–17.
  • Derringer, G. and Suich, R. (1980). “Simultaneous Optimization of Several Response Variables”. Journal of Quality Technology 12, pp. 214–219.
  • Lucas, J. M. (1994). “How to Achieve a Robust Process Using Response Surface Methodology”. Journal of Quality Technology 26, pp. 248–260.
  • Montgomery, D. C. (1991). “Using Fractional Factorial Design for Robust Process Development”. Quality Engineering 3, pp. 193–205.
  • Myers, R. H.; Khuri, A. I.; and Vining, G. G. (1992). “Response Surface Alternatives to the Taguchi Robust Parameter Design Approach”. The American Statistician 46, pp. 131–139.
  • Myers, R. H. and Montgomery, D. C. (2002). Response Surface Methodology: Process and Product Optimization Using Designed Experiments. John Wiley, New York, NY.
  • Nair, V. N., (ed). (1992). “Taguchi's Parameter Design: A Panel Discussion”. Technometrics 34, pp. 127–161.
  • Phadke, M. S. (1989). Quality Engineering Using Robust Design. Prentice-Hall, Englewood Cliffs. NJ.
  • Pledger, M. (1996). “Observable Uncontrollable Factors in Parameter Design”. Journal of Quality Technology 28, pp. 153–162.
  • Shoemaker, A. C.; Tsui, K. L.; and Wu, C. F. J. (1991). “Economical Experimentation Methods for Robust Design”. Technometrics 33, pp. 415–427.
  • Taguchi, G. (1986). Introduction to Quality Engineering. Asian Productivity Organization, UNIPUB, White Plains, NY.
  • Taguchi, G. and Wu, Y. (1980). Introduction to Off-Line Quality Control. Central Japan Quality Control Association, Nagoya, Japan.
  • Vining, G. G. and Myers, R. H. (1990). “Combining Taguchi and Response Surface Philosophies: A Dual Response Approach”. Journal of Quality Technology 22, pp. 38–45.
  • Welch, W. J.; Yu, T. K.; Kang, S. M.; and Sacks, J. (1990). “Computer Experiments for Quality Control by Parameter Design”. Journal of Quality Technology 22, pp. 15–22.
  • Wu, C. F. J. and Hamada, M. (2000). Experiments: Planning, Analysis, and Parameter Design Optimization. John Wiley, New York, NY.

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