Searching for important factors: sequential bifurcation under uncertainty
Proceedings of the 29th conference on Winter simulation
Proceedings of the 35th conference on Winter simulation: driving innovation
Controlled sequential factorial design for simulation factor screening
WSC '05 Proceedings of the 37th conference on Winter simulation
A hybrid method for simulation factor screening
Proceedings of the 38th conference on Winter simulation
State-of-the-Art Review: A User's Guide to the Brave New World of Designing Simulation Experiments
INFORMS Journal on Computing
Modelling by supersaturated designs
Computational Statistics & Data Analysis
Sequential screening: a Bayesian dynamic programming analysis of optimal group-splitting
Proceedings of the Winter Simulation Conference
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Factor Screening experiments identify those factors with significant effect on a selected output. We propose a modification of Cheng's method as a new factor screening alternative for simulation models whose output has homogeneous variance and can be described by a second-order polynomial function. The performance of the proposed model is compared with several other factor screening alternatives through an empirical evaluation. The results show that the proposed method sustains its efficiency and accuracy as the number of factors or the homogeneous variance increases. However, its accuracy degrades as variance heterogeneity increases.