Factor screening methods in computer simulation experiments

Douglas Montgomery, Ginner Weatherby

Research output: Contribution to journalConference article

Abstract

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
Volume2
StatePublished - Dec 3 1979
Externally publishedYes
Event11th Conference on Winter Simulation, WSC 1979 - San Diego, United States
Duration: Dec 3 1979Dec 5 1979

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Computer Experiments
Simulation Experiment
Screening
Computer Simulation
Design of experiments
Computer simulation
Experiments
Experimental design
Fractional Factorial Design
Variance Reduction
Combined Method
Computer Model
Design Method
Simulation Model
Subset
Output
Experiment

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

Cite this

Factor screening methods in computer simulation experiments. / Montgomery, Douglas; Weatherby, Ginner.

In: Proceedings - Winter Simulation Conference, Vol. 2, 03.12.1979, p. 347-358.

Research output: Contribution to journalConference article

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