International Journal of Quality Innovation

Korean Society for Quality Management (한국품질경영학회)
권호 표지

Optimization in Multiple Response Model with Modified Desirability Function

  • Cho, Young-Hun (Forecasting Analyst, Parts Operation Dept.1, HYUNDAI MOBIS) ;
  • Park, Sung-Hyun (Department of Statistics, College of Natural Sciences, Seoul National University)
  • Published : 2006.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

The desirability function approach to multiple response optimization is a useful technique for the analysis of experiments in which several responses are optimized simultaneously. But the existing methods have some defects, and have to be modified to some extent. This paper proposes a new method to combine the individual desirabilities.

Keywords

References

  1. DelCastillo, E., Montgomery, D. C. and McCarville, D. R.(1996), 'Modified desirability functions for multiple response optimization,' Journal of Quality Technology, Vol. 28, No.3, pp. 337-345 https://doi.org/10.1080/00224065.1996.11979684
  2. Derringer, G. and Suich, R.(1980), 'Simultaneous optimization of several response variables,' Journal of Quality Technology, Vol. 12, No 4, pp. 214-219 https://doi.org/10.1080/00224065.1980.11980968
  3. Derringer, G.(1994), 'A balancing act: Optimizing a product's properties,' Quality Progress, Vol. 6, pp. 51-58
  4. Harrington, E.(1965), 'The desirability function,' Industrial Quality Control, Vol. 4, pp. 494-498
  5. Jauregi, P., Gilmour, S. and Varley, J.(1997), 'Characterization of colloidal gas aphrons for subsequent use for protein recovery,' Chemical Engineering Journal, Vol. 65, pp. 1-11 https://doi.org/10.1016/S1385-8947(96)03154-3
  6. Khuri, A. and Conlon, M.(1981), 'Simultaneous optimization of multiple responses represented by polynomial regression functions,' Technometrics, Vol. 23, pp. 363-375 https://doi.org/10.2307/1268226
  7. Kim, K. and Lin, D.(2000), 'Simultaneous Optimization of Mechanical Properties of Steel by Maximizing Exponential Desirability Functions,' Applied Statistics(Journal of the Royal Statistical Society-Series C), Vol. 49, pp. 311-325 https://doi.org/10.1111/1467-9876.00194
  8. Kim, K. and Lin, D.(2006), 'Optimization of Multiple Responses Considering Both Location and Dispersion Effects,' European Journal of Operational Research, Vol. 169, No 1, pp. 133-145 https://doi.org/10.1016/j.ejor.2004.06.020
  9. Myers, R. H. and Montgomery, D. C.(2002), Response surface methodology 2nd Edition, John Wiley and Sons
  10. Park, Sung H.(1996), Robust Design and Analysis for Quality Engineering, Chapman and Hall