On stochastic optimization: Taguchi MethodsTM demystified; Its limitations and fallacy clarified

Probabilistic Engineering Mechanics

Volumn 16, Issue 1, 2001, Pages 87-101

  Parks, J M ^a  

^a UNIVERSITY OF ROCHESTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; OPTIMIZATION; PROBABILITY DISTRIBUTIONS;

HOLISTIC PROBABILISTIC DESIGN (HPD); STOCHASTIC OPTIMIZATION; TAGUCHI METHODS;

RANDOM PROCESSES;

EID: 0035203851     PISSN: 02668920     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0266-8920(00)00011-4     Document Type: Article

References (14)

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2. Parks JM. Design synthesis: transcending to stochastic realm; Part 3: optimization. Proceedings of the Seventh ASCE Speciality Conference on Probabilistic Mechanics and Structural Reliability. ASCE, New York, 1996. p. 130-3.
3. Parks JM, Li C. Mathematical techniques & software for stochastic design optimization. Proceedings of the Seventh ASCE Speciality Conference on Probabilistic Mechanics and Structural Reliability. ASCE, New York, 1996. p. 118-21.
4. Parks JM. The two enablers for holistic probabilistic design: methodology and a complete suite of tools for stochastic analysis. Proceedings of the Third International Conference on Stochastic Structural Dynamics. UPRM, Mayaguez (Puerto Rico), 1997. p. 19.1-19.29.
5. Parks J.M., Li C. Advanced methodology and software for tolerancing and stochastic optimization. ElMaraghy H.A. Geometric design tolerancing: theories, standards, and applications. 1998;325-336 Chapman & Hall, London.
6. Parks J.M. The unified methodology on design for latitude as a concept and capability for tolerance analysis & synthesis. Tipnis V. Selected case studies in the use of tolerance and deviation information during design of representative industrial products. 1992;129-150 ASME, New York.
7. Parks J.M. On stochastic optimization: Taguchi methods demystified - its gross limitations and fundamental error exposed. Spanos P.D. Computational stochastic mechanics. 1999;283-292 Balkema, Rotterdam.
8. Phadke M. Quality engineering using robust design. 1989;Prentice-Hall, Englewood Cliffs, NJ.
9. Barker T.B. Engineering quality by design, interpreting the Taguchi approach. 1990;Marcel Dekker, New York.
10. Peace G.S. Taguchi methods, a hands-on approach. 1993;Addison-Wesley, Reading, MA.
11. Clausing D.P. Total quality development. 1995;ASME, New York.
12. Taguchi G. Introduction to quality engineering. Asian Productivity Organization, Tokyo, 1986.
13. Hynen A. Improving robustness by engineering statistics - do engineering and statistics agree? Report no. LiTH-IKP-R-941, Linkoping University, Sweden, 1996.
14. Kacker R.N. Off-Line quality control, parameter design, and the Taguchi method. J. Quality Technol. 17:(4):1985;176-188. (Followed by: Discussions on this paper by (i) Box GEP. 189-190, (ii) Easterling RG. 191-2, (iii) Freund RA. 193-4, (iv) Lucas JM. 195-7, and (v) Pignatiello JJ, Ramburg JS. 198-206; Response by Kackar RN, 207-9).