Accession Number : ADA117529

Title :   Factor Screening in Simulation: Evaluation of a Random Balance/Plackett-Burman Strategy.

Descriptive Note : Technical rept.,


Personal Author(s) : Mauro,Carl A ; Smith,Dennis E

PDF Url : ADA117529

Report Date : Jul 1982

Pagination or Media Count : 28

Abstract : Large, complex simulation models usually must be studied by performing a number of simulation runs. It is often to our advantage to invest a relatively small number of runs in a preliminary experiment aimed at screening out the most important factors. The major experimental effort and expense can then be focused on these key factors. In this report we evaluate the performance of a two-stage screening strategy that is based on a combination of random balance and Plackett-Burman designs.

Descriptors :   *Computerized simulation, *Experimental data, *Selection, *Trade off analysis, *Classification, *Random variables, Monte Carlo method, Probability, Strategy

Subject Categories : Administration and Management

Distribution Statement : APPROVED FOR PUBLIC RELEASE