Design of simulation experiments with manufacturing applications

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Design of simulation experiments with manufacturing applications

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Winter Simulation Conference archive
Proceedings of the 25th conference on Winter simulation table of contents

Los Angeles, California, United States

Pages: 69 - 75

Year of Publication: 1993

ISBN:0-7803-1381-X

Authors

Phillip A Farrington	Department of Industrial and Systems Engineering, University of Alabama in Huntsville, Huntsville, AL
James J. Swain	Department of Industrial and Systems Engineering, University of Alabama in Huntsville, Huntsville, AL

Sponsors

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
IIE : Institute of Industrial Engineers
SCS : Society for Computer Simulation
ASA : American Statistical Association
NIST : National Institue of Standards & Technology
TIMS/CSG :

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 8, Downloads (12 Months): 17, Citation Count: 0

Additional Information:

references collaborative colleagues

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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	Banks, j., and J. S. Carson, ii. 1984. Discrete-event system simulation. Englewood Cliffs, New Jersey: Prentice-Hall.
	2	Biles, W. E., and J. j. Swain. 1979. Mathematical programming and the optimization of computer simulations, Mathematical programming study 11, 189-207. North-Holland Publishing.
	3	Russell C.H. Cheng, Random samples with known sample statistics: With application to variance reduction, Proceedings of the 15th conference on Winter Simulation, p.395-402, December 12-14, 1983, Arlington, Virginia, United States
	4	Joan M. Donohue , Ernest C. Houck , Raymond H. Myers, Sequential experimental designs for simulation metamodeling, Proceedings of the 24th conference on Winter simulation, p.539-547, December 13-16, 1992, Arlington, Virginia, United States [doi>10.1145/167293.167635]
	5	Dudewicz, E. J., and S. R. Dalal. 1975. Allocation of observations in ranking and selection with unequal variances. Sankya B37, 28-78.
	6	George S. Fishman, Principles of Discrete Event Simulation, John Wiley & Sons, Inc., New York, NY, 1978
	7	George S. Fishman , Baosheng D. Huang, Antithetic variates revisited, Communications of the ACM, v.26 n.11, p.964-971, Nov. 1983 [doi>10.1145/182.358462]
	8	David Goldsman , Barry L. Nelson , Bruce Schmeiser, Methods for selecting the best system, Proceedings of the 23rd conference on Winter simulation, p.177-186, December 08-11, 1991, Phoenix, Arizona, United States
	9	Kleijnen, J. P. C. 1990. Sensitivity analysis of simulation experiments: regression analysis and statistical design. Technical Report, Tilburg University, The Netherlands.
	10	Averill M. Law , W. David Kelton, Simulation Modeling and Analysis, McGraw-Hill Higher Education, 1997
	11	Law, A. M. and W.D. Kelton. 198~. Confidence intervals for steady-state simulations, II: A survey of sequential procedures. Management Science 28: 550-562.
	12	Nelson, B. L. 1992a. Statistical Analysis of Simulation Results. In Handbook of industrial engineerzng, ed. G. Salvendy. New York: John Wiley.
	13	Barry L. Nelson, Designing efficient simulation experiments, Proceedings of the 24th conference on Winter simulation, p.126-132, December 13-16, 1992, Arlington, Virginia, United States [doi>10.1145/167293.167317]
	14	Schruben, L. W., and B. H. Margolin. 1978. Pseudorandom number assignment in statistically designed simulation and distribution sampling experiments. Journal of the American Statistical Asso. ciation 73: 505-525.
	15	Jeffrey D. Tew, Using central composite designs in simulation experiments, Proceedings of the 24th conference on Winter simulation, p.529-538, December 13-16, 1992, Arlington, Virginia, United States [doi>10.1145/167293.167634]
	16	Welch, P. D. 1983. The statistical analysis of simulation results. In The computer performance model ing handbook, ed. S. S. Lavenberg, 268-328. Academic Press: New York.
	17	Ward Whitt, The efficiency of one long run versus independent replication in steady-state simulation, Management Science, v.37 n.6, p.645-666, June 1991 [doi>10.1287/mnsc.37.6.645]

Collaborative Colleagues:

Phillip A Farrington: colleagues

James J. Swain: colleagues

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