Factor screening methods in computer simulation experiments

Douglas C. Montgomery, Ginner Weatherby

Research output: Contribution to journalConference articlepeer-review


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 considerable 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. This paper discusses experimental design methods useful for factor screening in computer simulation. The general strategy recommended is group screening methods combined with 2k-p fractional factorial designs. Some variance reduction considerations are also discussed.

Original languageEnglish (US)
Pages (from-to)347-358
Number of pages12
JournalProceedings - Winter Simulation Conference
StatePublished - Dec 3 1979
Externally publishedYes
Event11th Conference on Winter Simulation, WSC 1979 - San Diego, United States
Duration: Dec 3 1979Dec 5 1979

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications


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