MULTI-OBJECTIVE OPTIMIZATION SOLUTIONS TO THE TAGUCHI’S PROBLEM

Volume: 18 Number: 4 August 11, 2010
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MULTI-OBJECTIVE OPTIMIZATION SOLUTIONS TO THE TAGUCHI’S PROBLEM

Abstract

ABSTRACT

The dual response approach has widely been used in the literature to solve the Taguchi’s problem. This excellent approach contains some deficiencies especially on the standard deviation response. These restrictions may rule out better conditions or globally preferred values in the industrial process or the product of interest. This paper presents a more flexible formulation of the problem and it’s solving technique. In this study, we also extend the dual response problem by some cost elements (i.e., treatment cost).

Keywords

References

  1. Buchanen, J.T., “Multiple Objective Mathematical Programming: A Review”, New Zealand Operational Research, 14 (1): 1-27 (1986).
  2. Copeland,K.A., Nelson, P.R., Dual Response Optimization via Direct Function Minimization” J. Quality Tech, 28 (1): 331-336 (1996).
  3. Del Castillo, E., Montgomery, D.C., “A Nonlinear Programming Solution to the Dual Response Problem”, J. Quality Technology, Vol 25, No 3: 199-204 (1993).
  4. Hwang, C.L., Masud, A.S.M., Multiple Objective Decision Making-Methods and Applications, Lecture Notes in Economics and Mathematical Systems 164, Springer-Verlag, Berlin (1979).
  5. Hwang, C.L., Paidy, S.R., Yoon, K., and Masud, A.S.M., “Mathematical Programming with Multiple Objectives: A Tutorial”, Computers & Operations Research, 7: 5-31 (1980).
  6. Khattre, R., “Robust Parameter Design – A Response-Surface Approach”, J. Quality Tech, 28 (2): 187-198 (1996).
  7. Kim, K., Lin,D.K.J., “Dual Response Optimization: A Fuzzy Modeling Approach” J. Quality Tech, 30 (1): 1-10 (1998).
  8. Köksoy, O., Taguchi ve Cevap Yüzey Felsefelerinin Birleştirilmesi: Problem ve Çözüm Stratejileri, Doktora Tezi, Hacettepe Ünv. Fen Bilm. Ens., No. 2001D11 (2001).

Details

Primary Language

English

Subjects

-

Journal Section

-

Authors

Gülsüm Hocaoğlu This is me

Publication Date

August 11, 2010

Submission Date

August 11, 2010

Acceptance Date

-

Published in Issue

Year 2005 Volume: 18 Number: 4

APA
Köksoy, O., & Hocaoğlu, G. (2010). MULTI-OBJECTIVE OPTIMIZATION SOLUTIONS TO THE TAGUCHI’S PROBLEM. Gazi University Journal of Science, 18(4), 613-626. https://izlik.org/JA62AJ35PF
AMA
1.Köksoy O, Hocaoğlu G. MULTI-OBJECTIVE OPTIMIZATION SOLUTIONS TO THE TAGUCHI’S PROBLEM. Gazi University Journal of Science. 2010;18(4):613-626. https://izlik.org/JA62AJ35PF
Chicago
Köksoy, Onur, and Gülsüm Hocaoğlu. 2010. “MULTI-OBJECTIVE OPTIMIZATION SOLUTIONS TO THE TAGUCHI’S PROBLEM”. Gazi University Journal of Science 18 (4): 613-26. https://izlik.org/JA62AJ35PF.
EndNote
Köksoy O, Hocaoğlu G (August 1, 2010) MULTI-OBJECTIVE OPTIMIZATION SOLUTIONS TO THE TAGUCHI’S PROBLEM. Gazi University Journal of Science 18 4 613–626.
IEEE
[1]O. Köksoy and G. Hocaoğlu, “MULTI-OBJECTIVE OPTIMIZATION SOLUTIONS TO THE TAGUCHI’S PROBLEM”, Gazi University Journal of Science, vol. 18, no. 4, pp. 613–626, Aug. 2010, [Online]. Available: https://izlik.org/JA62AJ35PF
ISNAD
Köksoy, Onur - Hocaoğlu, Gülsüm. “MULTI-OBJECTIVE OPTIMIZATION SOLUTIONS TO THE TAGUCHI’S PROBLEM”. Gazi University Journal of Science 18/4 (August 1, 2010): 613-626. https://izlik.org/JA62AJ35PF.
JAMA
1.Köksoy O, Hocaoğlu G. MULTI-OBJECTIVE OPTIMIZATION SOLUTIONS TO THE TAGUCHI’S PROBLEM. Gazi University Journal of Science. 2010;18:613–626.
MLA
Köksoy, Onur, and Gülsüm Hocaoğlu. “MULTI-OBJECTIVE OPTIMIZATION SOLUTIONS TO THE TAGUCHI’S PROBLEM”. Gazi University Journal of Science, vol. 18, no. 4, Aug. 2010, pp. 613-26, https://izlik.org/JA62AJ35PF.
Vancouver
1.Onur Köksoy, Gülsüm Hocaoğlu. MULTI-OBJECTIVE OPTIMIZATION SOLUTIONS TO THE TAGUCHI’S PROBLEM. Gazi University Journal of Science [Internet]. 2010 Aug. 1;18(4):613-26. Available from: https://izlik.org/JA62AJ35PF