Variance reallocation in Taguchi's robust design framework

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Variance reallocation in Taguchi's robust design framework

Full text

Pdf (918 KB)

Source

Winter Simulation Conference archive
Proceedings of the 24th conference on Winter simulation table of contents

Arlington, Virginia, United States

Pages: 548 - 556

Year of Publication: 1992

ISBN:0-7803-0798-4

Authors

Lee W. Schruben
Susan M. Sanchez
Paul J. Sanchez
Veronica A. Czitrom

Sponsors

ASA : American Statistical Association
NIST : National Institue of Standards & Technology
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
ORSA : Operations Research Society of America
SIGSIM: ACM Special Interest Group on Simulation and Modeling
TIMS :
IIE : Institute of Industrial Engineers
SCS : Society for Computer Simulation

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 8, Downloads (12 Months): 35, Citation Count: 6

Additional Information:

references cited by index terms collaborative colleagues

Tools and Actions:	Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/167293.167636 What is a DOI?

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	George Box , Anne C. Shoemaker , Kwok-Leung Tsui , Ramon V. León , William C. Parr , V. N. Nair , D. Pregibon , Raymond J. Carroll , David Ruppert , Berton Gunter , Neil R. Ullman, Signal-to-noise ratios, performance criteria, and transformations, Technometrics, v.30 n.1, p.1-40, Feb. 1988 [doi>10.2307/1270311]
	2	Box, G. E. P., W. G. Hunter and J. S. Hunter. 1978. Statistics for Experimenters. New York: John Wiley and Sons, Inc.
	3	Kackar, R. N. 1985. Off-line quality control, parameter design, and the Taguchi method, Journal of Quality Technology 17: 176-188.
	4	W. David Kelton, Designing computer simulation experiments, Proceedings of the 20th conference on Winter simulation, p.15-18, December 12-14, 1988, San Diego, California, United States [doi>10.1145/318123.318136]
	5	Averill M. Law , W. David Kelton, Simulation Modeling and Analysis, McGraw-Hill Higher Education, 1997
	6	Lucas, :I. M. 1985. Comment on "Off-line quality control, parameter design, and the Taguchi method," by R. N. Kacker, Journal of Quality Technology 17: 195-197.
	7	Vijayan N. Nair , Bovas Abraham , Jock MacKay , George Box , Raghu N. Kacker , Thomas J. Lorenzen , James M. Lucas , Raymond H. Myers , G. Geoffrey Vining , John A. Nelder , Madhav S. Phadke , Jerome Sacks , William J. Welch , Anne C. Shoemaker , Kwok L. Tsui , Shin Taguchi , C. F. Jeff Wu, Taguchi's parameter design: a panel discussion, Technometrics, v.34 n.2, p.127-161, May 1992 [doi>10.2307/1269231]
	8	Pignatiello, J. J. Jr. and J. S. I~amberg. 1985. Diseussion of Off-line quality control, parameter design, and the Taguehi method, Journal of Quality Technology 17: 198-206.
	9	Pignatiello, J. J. Jr. and J. S. Ramberg. 1991. Top ten triumphs and tragedies of Genichi Taguchi, Quality Engineering 4: 211-225.
	10	John S. Ramberg , Susan M. Sanchez , Paul J. Sanchez , Ludwig J. Hollick, Designing simulation experiments: Taguchi methods and response surface metamodels, Proceedings of the 23rd conference on Winter simulation, p.167-176, December 08-11, 1991, Phoenix, Arizona, United States
	11	Ramberg, j. S., J. J. Pignatiello, Jr. and S. M. Sanchez. 1992. A critique and enhancement of the Taguchi method, ASQC Quality Congress Transactions, 491-498.
	12	Sanchez, S. M., J. S. Ramberg, J. Fiero and J. j. Pignatiello, Jr. 1993. Quality By Design, forthcoming in Concurrent Engineering, ed. A. Kusiak, Chapter 10. New York: John Wiley and Sons, Inc.
	13	Sanchez, S. M., P. J. Sanchez and J. S. Ramberg. 1992. Taguchi methods, response surface metamodels, and the design of simulation experiments. Technical report, College of Business and Public Administration, University of Arizona, Tucson, Arizona.
	14	Robert G. Sargent, Research issues in metamodeling, Proceedings of the 23rd conference on Winter simulation, p.888-893, December 08-11, 1991, Phoenix, Arizona, United States
	15	Schruben, L. W. 1982. Detecting initialization bias in simulation output. Opera~ions Research 30: 569- 590.
	16	Schruben, L. W. 1983.Confidence interval estimation using standardized Time Series. Operations Research 31: 1090-1108.
	17	Schruben, L. W. 1979. Designing correlation induction strategies for simulation experiments, Current Issues in Computer Simulation, ed. N. R. Adam and A. Dogramaci, 235-256. New York: Academic Press.
	18	Schruben, L. W. and B. H. Margolin. 1978. Pseudo- Random number assignment in statistically designed simulation and distribution sampling experiments, Journal of the American Statistical Association, 73, 504-525 (with discussions).
	19	Anne C. Shoemaker , Kwok-Leung Tsui , C. F. Jeff Wu, Economical experimentation methods for robust design, Technometrics, v.33 n.4, p.415-427, Nov. 1991 [doi>10.2307/1269414]
	20	Taguchi, G. 1986. introduction to Quality Engineering, White Plains, New York: UNIPUB/Krauss International.
	21	Taguehi, G. and Y. Wu. 1980. Introduction to offline quality control, Nagoya, Japan: Central Japan Quality Association.
	22	J. D. Tew, Correlation-induction techniques for fitting second-order metamodels in simulation experiments, Proceedings of the 21st conference on Winter simulation, p.538-546, December 04-06, 1989, Washington, D.C., United States [doi>10.1145/76738.76808]
	23	Jeffrey D. Tew , James R. Wilson, Validation of simulation analysis methods for the Schruben-Margolin correlation-induction strategy, Operations Research, v.40 n.1, p.87-103, Jan.–Feb. 1992 [doi>10.1287/opre.40.1.87]
	24	Vining, G. G. and R. H. Myers. 1990. Combining Taguchi and response surface philosophies: a dual response approach. Journal of Quality Technology 22: 38-45.

CITED BY 6

	Joan M. Donohue, The use of variance reduction techniques in the estimation of simulation metamodels, Proceedings of the 27th conference on Winter simulation, p.194-200, December 03-06, 1995, Arlington, Virginia, United States
	Susan M. Sanchez, Design of experiments: robust design: seeking the best of all possible worlds, Proceedings of the 32nd conference on Winter simulation, December 10-13, 2000, Orlando, Florida
	Susan M. Sanchez, Experimental designs for system assessment and improvement when noise factors are correlated, Proceedings of the 26th conference on Winter simulation, p.290-296, December 11-14, 1994, Orlando, Florida, United States
	Joan M. Donohue, Experimental designs for simulation, Proceedings of the 26th conference on Winter simulation, p.200-206, December 11-14, 1994, Orlando, Florida, United States
	Susan M. Sanchez, A robust design tutorial, Proceedings of the 26th conference on Winter simulation, p.106-113, December 11-14, 1994, Orlando, Florida, United States
	Susan M. Sanchez , Paul J. Sanchez, Very large fractional factorial and central composite designs, ACM Transactions on Modeling and Computer Simulation (TOMACS), v.15 n.4, p.362-377, October 2005