TAGUCHİ PROBLEMİNİN ÇOK AMAÇLI OPTİMİZASYON ÇÖZÜMLERİ

Literatürde, “ikili cevap (dual response)” yaklaşımı olarak bilinen yöntem, Taguchi probleminin çözümünde yaygın olarak kullanılır. Ancak, bu mükemmel yaklaşımın bazı yetersiz yönleri de vardır. Kalite standart sapması ile ilgili kısıtlamalar süreç veya ürünle ilgili bulunabilecek daha iyi koşulları veya tümel optimum değerleri dışlayabilir. Bu çalışmada, kalite standart sapmasını kısıttan kurtaracak yeni bir problem tanımı ve çözüm stratejisi önerilerek, maliyet öğeleri ile Taguchi probleminin genişletilmesi konusu üzerinde durulmuştur

MULTI-OBJECTIVE OPTIMIZATION SOLUTIONS TO THE TAGUCHI’S PROBLEM

ABSTRACTThe 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).

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  • Buchanen, J.T., “Multiple Objective Mathematical Programming: A Review”, New Zealand Operational Research, 14 (1): 1-27 (1986).
  • Copeland,K.A., Nelson, P.R., Dual Response Optimization via Direct Function Minimization” J. Quality Tech, 28 (1): 331-336 (1996).
  • 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).
  • 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).
  • 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).
  • Khattre, R., “Robust Parameter Design – A Response-Surface Approach”, J. Quality Tech, 28 (2): 187-198 (1996).
  • Kim, K., Lin,D.K.J., “Dual Response Optimization: A Fuzzy Modeling Approach” J. Quality Tech, 30 (1): 1-10 (1998).
  • Köksoy, O., Taguchi ve Cevap Yüzey Felsefelerinin Birleştirilmesi: Problem ve Çözüm Stratejileri, Doktora Tezi, Hacettepe Ünv. Fen Bilm. Ens., No. 2001D11 (2001).
  • Köksoy, O., Hocaoğlu, G., “Ridge Analiz ve GİG Sonuçlarının Kağıt Helikopter Deneyi Üzerinde Karşılaştırılması”, İstatistik Sempozyumu 2000, Gazi Üniversitesi Fen-Ed. Fak. İstatistik Böl., Ankara (2000).
  • Köksoy, O., Muluk, Z., “Taguchi’nin Tasarım ve Analizlerine Eleştiriler”, I. Ulusal Kalite Fonksiyon Göçerimi Sempozyumu-17-19.Nisan.2002, Dokuz Eylül Ünv. İşletme Fak., İzmir (2002).
  • Lieberman,E.R., Soviet Multi-Objective Programming Methods: An Overview, Multiobjective Problems of Mathematical Programming, Edited by A. Lewandowski, V. Volkovich, Lecture Notes in Economics and Mathematical Systems 351, Springer-Verlag, 21-31 (1991a).
  • Lieberman,E.R., “Soviet Multi-Objective Programming Methods: An Overview, Management Science, 37, No.9: 1147-1165 (1991b).
  • Lin, D.K.J. , Tu, W., “Dual Response Surface Optimization”, J. Quality Tech, 27 (1): 34-39 (1995).
  • Lucas, J.M., “How to Achieve a Robust Process Using Response-Surface Methodology”, J. Quality Tech, 26 (4): 248-260 (1994).
  • Miettinen, K., “On the Methodology of Multiobjective Optimization with Applications”, Ph.D. Dissertation, Report No. 60, University of Jyväskylä, Department of Mathematics, (1994).
  • Miettinen, K., Nonlinear Multiobjective Optimization, Kluwer Academic Publishers, Norwell, Massachusetts, US, (1999).
  • Miettinen, K., Mäkelä, M.M., “Interactive Bundle-Based Method for Nondifferentiable Multiobjective Optimization: NIMBUS” , Optimization, 34, No. 3: 231-246 (1995).
  • Miettinen, K., Mäkelä, M.M., Interactive Method NIMBUS for Nondifferentiable Multi-objective Optimization Problems, Multicriteria Analysis, Edited by J. Climaco, Springer-Verlag, Berlin (1997).
  • Muluk, Z., Balce, A.O. ve Köksoy, O., “Deney Tasarımı Eğitimi-Helikopter Deneyi”, İstatistik Sempozyumu 2000, Gazi Üniversitesi Fen-Ed. Fak. İstatistik Böl., Ankara (2000).
  • Phadke, M.S., Quality Engineering Using Robust Design, AT&T Bell Labs, New Jersey (1989).
  • Tuck, M.G., Lewis, S.M., and Cottrell,J.I.L., “Response Surface Methodology and Taguchi : A Quality Improvement Study from the Milling Industry”, Applied Statistics, 42 (4): 671-681 (1993).
  • Vining,G.G., Myers, R.H., “Combining Taguchi and Response Surface Philosophies: Dual Response Approach”, J. Quality Tech, 22 (1): 38-45 (1990).