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Solving multi-response optimisation problems with enhanced precision

Author

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  • Paul L. Goethals
  • Byung Rae Cho

Abstract

This paper investigates the use of higher-order response surface designs for solving multi-response optimisation problems using the desirability function approach. A methodology is proposed that incorporates screening procedures and evaluation measures to facilitate the selection of an appropriate model. Several case studies are examined to illustrate the breadth and scope of the problem as it relates to identifying the optimal factor settings for a process. A comparison of the results using the proposed methodology and those using the traditional desirability function approach is also shown to suggest the need for greater precision and accuracy.

Suggested Citation

  • Paul L. Goethals & Byung Rae Cho, 2012. "Solving multi-response optimisation problems with enhanced precision," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 11(3), pages 250-278.
    • Handle: RePEc:ids:ijisen:v:11:y:2012:i:3:p:250-278
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