Title

Finding Important Independent Variables Through Screening Designs: A Comparison Of Methods

Abstract

Once a simulation model is developed, designed experiments may be employed to efficiently optimize the system. Designed experiments are used on `real' production systems as well. The first step is to screen for important independent variables. Several screening methods are compared and contrasted in terms of efficiency, effectiveness, and robustness. These screening methods range from the classical factorial designs and two-stage group screening to new, more novel designs including sequential bifurcation (SB) and iterated fractional factorial designs (IFFD). Conditions for the use of the methods are provided along with references on how to use them.

Publication Date

1-1-2000

Publication Title

Winter Simulation Conference Proceedings

Volume

1

Number of Pages

749-754

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/WSC.2000.899789

Socpus ID

0034429001 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0034429001

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