“What-if” analysis in computer simulation models: A comparative survey with some extensions

Authors:
H. Arsham;A. B. Kahn
Affiliations:
School of Business, University of Baltimore, Baltimore, MD 21201 USA;School of Business, University of Baltimore, Baltimore, MD 21201 USA
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
1990

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Abstract

The simulation models are often subject to errors caused by the estimated parameter(s) of underlying input distribution function. ''What-if'' analysis is needed to establish confidence with respect to small changes in the parameters of the input distributions. However traditional ''what-if'' analysis requires a separate simulation run for each input value. Four different methods for estimating performance function for several scenarios using extrapolation/interpolation are presented. By simulating a simple reliability model a comparative experimental study on the efficiency of the these methods is provided.