The use of a computer simulation model may be viewed as an experiment in which a set of k controllable factors are varied according to an experimental design, and the effect of these factors on the output observed. Usually not all k factors will be active, and considerble efficiency in the use of the model will result if the subset of active factors can be identified. Factor screening methods are useful in identifying the set of active factors. A discussion is presented of experimental design methods useful for factor screening in computer simulation. The general strategy recommended is group screening methods combined with 2**k** minus **p fractional factorial designs. Some variance reduction considerations are also discussed.
ASJC Scopus subject areas