Factor screening means searching for the most important factors (or inputs) among the many factors that may be varied in an experiment with a real or a simulated system. This chapter gives a review of Sequential Bifurcation (SB), which is a screening method for simulation experiments in which many factors may be varied. SB is most efficient and effective if its assumptions are satisfied. SB was originally studied back in 1990. This review first summarizes SB. Then it summarizes a recent case study, namely, a supply-chain simulation with 92 factors where SB identifies a shortlist with 10 factors after simulating only 19 combinations. The review also references recent research. It ends with a discussion of possible topics for future research.
|Title of host publication||Advancing the Frontiers of Simulation|
|Subtitle of host publication||A Festschrift in Honor of George S. Fishman|
|Editors||C. Axelopoulos, D. Goldsman, J.R. Wilson|
|Place of Publication||New York|
|Publication status||Published - 2009|