Optimal design of experiments with simulation models of nearly saturated queues


Cheng, R.C.H., Kleijnen, J.P.C. and Melas, V.B. (2000) Optimal design of experiments with simulation models of nearly saturated queues Journal of Statistical Planning and Inference, 85, (1-2), pp. 19-26. (doi:10.1016/S0378-3758(99)00061-0).

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Description/Abstract

The paper develops an approach to the optimal design of experiments with simulation models of nearly saturated queues, suggested in Cheng and Kleijnen (Oper. Res. v.47, 1999). This approach is based on the introduction of a regression model of the input-output behaviour of the underlying simulation model. In this way the problem is reduced to a special regression experimental design problem. An analytical solution is found under assumptions for the regression function and the behaviour of the output variance. In paricular D-optimal designs are considered and the solution given for this case.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1016/S0378-3758(99)00061-0
ISSNs: 0378-3758 (print)
Keywords: simulation, queueing systems, metamodel, regression analysis, optimal experimental design
Subjects:
Organisations: Operational Research
ePrint ID: 29715
Date :
Date Event
2000Published
Date Deposited: 20 Jul 2006
Last Modified: 16 Apr 2017 22:21
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/29715

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