An experimental procedure for simulation response surface model identification

  • Authors:
  • Lee W. Schruben;V. James Cogliano

  • Affiliations:
  • Cornell Univ., Ithaca, NY;U.S. Environmental Protection Agency, Washington, DC

  • Venue:
  • Communications of the ACM
  • Year:
  • 1987

Quantified Score

Hi-index 48.22

Visualization

Abstract

An experimental method for identifying an appropriate model for a simulation response surface is presented. This technique can be used for globally identifying those factors in a simulation that have a significant influence on the output. The experiments are run in the frequency domain. A simulation model is run with input factors that oscillate at different frequencies during a run. The functional form of a response surface model for the simulation is indicated by the frequency spectrum of the output process. The statistical significance of each term in a prospective response surface model can be measured. Conditions are given for which the frequency domain approach is equivalent to ranking terms in a response surface model by their correlation with the output. Frequency domain simulation experiments typically will require many fewer computer runs than conventional run-oriented simulation experiments.