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http://dx.doi.org/10.7469/JKSQM.2012.40.1.049

A Case Study for Finding an Efficient M&S Meta Model through Sequential Response Surface Methodology  

Kim, Sang-Ik (Department of Applied Statistics, Konkuk University)
Kim, Yong-Dai (Department of Statistics, Seoul National University)
Lim, Yong-Bin (Department of Statistics, Ewha Womans University)
Choi, Ki-Heon (Department of Statistics, Duksung Women's University)
Kim, Jeong-Eun (Korea Institute for Defense Analyses)
Publication Information
Journal of Korean Society for Quality Management / v.40, no.1, 2012 , pp. 49-59 More about this Journal
Abstract
In computer simulation models the output from the computer code is often deterministic, i.e., running the code twice with the same values for the input variables would give the same output. It is discussed why the response surface method with polynomial approximation for the true response function is a good approximation to the computer experiments model. A sequential strategy to find the proper reduced quadratic polynomial model is illustrated with a case study in the military war game computer simulation model.
Keywords
Meta Model; M&S Meta Model; Computer Experiments; Sequential Strategy; Response Surface Methodology;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 임용빈(2010), "현재의 공정조건을 향상시키기 위한 혼합물 반응표면 방법론", 품질경영학회지, 38권, 3호, pp. 413-424
2 Batmaz, I. and Tunali, S.(2002), "Second-Order Experimental Designs for Simulation Metamodeling", SIMULATION, Vol78, pp. 699-715.   DOI
3 Kleijnen, J.P.C. and Sargent, R. G.(2000), "A Methodology for Fitting and Validating Metamodels in Simulation", European Journal of Operational Research, Vol. 120, pp. 14-29.   DOI
4 Kleijnen, J.P.C.(2009), "Kriging metamodeling in simulation: A review", European Journal of Operational Research, Vol. 192. pp. 707-716.   DOI
5 Lim, Y.B., Sacks, J., Studden, W.J. and Welch, W.J. (2002), "Design and analysis of computer experiments when the output is highly correlated over the input space", Canadian J. of Statistics, Vol. 30, pp. 109-126.   DOI
6 Myers, R.H., Montgomery D.C. and Anderson-Cook, C.M.(2008), Response surface methodology, 3rd ed., Wiley, New York.
7 Sacks, J., Schiller, S.B. and Welch, W.J.(1989), "Designs for computer experiments", Technometrics, Vol. 34, pp. 15-25
8 Stat-Ease, Inc.(2011), Design Expert Version 8.06. Minneapolis, MN.
9 Van Beers, W.C.M. and Kleijnen, J.P.C.(2008), "Customized Sequential Designs for Random Simulation Experiments: Kriging Metamodeling and Bootstraping", European Journal of Operational Research, Vol. 186, pp. 11099-1113.   DOI
10 Welch, W.J., Buck, R.J., Sacks, J., Morris, M.D. and Schonlau M.(1996), "Reply to "Comments on 'Screening, predicting, and computer experiments'" [by J. M. Lucas(1996)]", Technometrics, Vol. 38, pp. 199-203.   DOI