Int. J. of Industrial and Systems Engineering   »   2012 Vol.11, No.3

 

 

Title: Solving multi-response optimisation problems with enhanced precision

 

Authors: Paul L. Goethals; Byung Rae Cho

 

Addresses:
Laboratory of Advanced Quality Engineering, Department of Industrial Engineering, Clemson University, Clemson SC 29634, USA
Laboratory of Advanced Quality Engineering, Department of Industrial Engineering, Clemson University, Clemson SC 29634, USA

 

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.

 

Keywords: desirability function; multi-response optimisation; quality characteristics; response surface design; model selection.

 

DOI: 10.1504/IJISE.2012.047098

 

Int. J. of Industrial and Systems Engineering, 2012 Vol.11, No.3, pp.250 - 278

 

Available online: 28 May 2012

 

 

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