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Designing simulation experiments with controllable and uncontrollable factors

Published: 07 December 2008 Publication History

Abstract

In this study we propose a new method for designing computer experiments inspired by the split plot designs used in physical experimentation. The basic layout is that each set of controllable factor settings corresponds to a whole plot for which a number of subplots, each corresponding to one combination of settings of the uncontrollable factors, is employed. The caveat is a desire that the subplots within each whole plot cover the design space uniformly. A further desire is that in the combined design, where all experimental runs are considered at once, the uniformity of the design space coverage should be guaranteed. Our proposed method allows for a large number of uncontrollable and controllable settings to be run in a limited number of runs while uniformly covering the design space for the uncontrollable factors.

References

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Fang, K.-T., R. Li, and A. Sudjianto. 2006. Design and modeling for computer experiments. Chapman & Hall/CRC.
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Fang, K.-T., D. K. J. Lin, and M.-Q. Liu. 2003. Optimal mixed-level supersaturated design. Metrika 58 (3): 279--291.
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Fang, K.-T., and C.-X. Ma. 2001. Wrap-around 12-discrepancy of random sampling, latin hypercube and uniform designs. Journal of Complexity 17 (4): 608--624.
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Hickernell, F. 1998a. Random and quasi-random point sets, Chapter Lattice rules: How well do they measure up?, 106--166. Springer-Verlag, New York.
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Hickernell, F. J. 1998b. A generalized discrepancy and quadrature error bound. Mathematics of Computation 67 (221): 299--322.
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Kleijnen, J. P. 2008. Design and analysis of simulation experiments. Springer.
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Krahl, D. 2002. The extend simulation environment. In Proceedings of the 2002 Winter Simulation Conference, 205--213.
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Montgomery, D. C. 2005. Design and analysis of experiments. 6th ed. John Wiley and Sons, Inc.
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Sacks, J., W. J. Welch, T. J. Mitchell, and H. P. Wynn. 1989. Design and analysis of computer experiments. Statistical Science 4 (4): 409--423.
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Sanchez, S. M. 2000. Robust design: Seeking the best of all possible worlds. In Proceedings of the 2000 Winter Simulation Conference, 69--76.
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Santner, T. J., B. J. Williams, and W. I. Notz. 2003. The design and analysis of computer experiments. Springer.
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Taguchi, G. 1987. System of experimental design, volumes 1 and 2. UNIPUB/Krauss International, White Plains, New York.

Cited By

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  • (2009)Robust simulation-optimization using metamodelsWinter Simulation Conference10.5555/1995456.1995541(540-550)Online publication date: 13-Dec-2009

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Information

Published In

cover image ACM Conferences
WSC '08: Proceedings of the 40th Conference on Winter Simulation
December 2008
3189 pages
ISBN:9781424427086

Sponsors

  • IIE: Institute of Industrial Engineers
  • INFORMS-SIM: Institute for Operations Research and the Management Sciences: Simulation Society
  • ASA: American Statistical Association
  • IEEE/SMC: Institute of Electrical and Electronics Engineers: Systems, Man, and Cybernetics Society
  • SIGSIM: ACM Special Interest Group on Simulation and Modeling
  • NIST: National Institute of Standards and Technology
  • (SCS): The Society for Modeling and Simulation International

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Winter Simulation Conference

Publication History

Published: 07 December 2008

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  • Research-article

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WSC08
Sponsor:
  • IIE
  • INFORMS-SIM
  • ASA
  • IEEE/SMC
  • SIGSIM
  • NIST
  • (SCS)
WSC08: Winter Simulation Conference
December 7 - 10, 2008
Florida, Miami

Acceptance Rates

WSC '08 Paper Acceptance Rate 249 of 304 submissions, 82%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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  • (2009)Robust simulation-optimization using metamodelsWinter Simulation Conference10.5555/1995456.1995541(540-550)Online publication date: 13-Dec-2009

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