A new class of supersaturated designs
Technometrics
Searching for important factors: sequential bifurcation under uncertainty
Proceedings of the 29th conference on Winter simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
An efficient, effective, and robust procedure for screening more than 20 independent variables employing a genetic algorithm
Proceedings of the 35th conference on Winter simulation: driving innovation
A two-phase screening procedure for simulation experiments
WSC '05 Proceedings of the 37th conference on Winter simulation
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
Two-phase screening procedure for simulation experiments
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Computational & Mathematical Organization Theory
Combining strong and screening designs for large-scale simulation optimization
Proceedings of the Winter Simulation Conference
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Screening is the first phase of an experimental study on systems and simulation models. Its purpose is to eliminate negligible factors so that efforts may be concentrated upon just the important ones. Successfully screening more than about 20 or 30 factors has been investigated only in the past 10 or 15 years with most improvements in the past 5 years. A handful of alternative methods including sequential bifurcation, iterated fractional factorial designs, and the Trocine Screening Procedure are described and evaluative and comparative results are presented.