A fully sequential procedure for indifference-zone selection in simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Proceedings of the 32nd conference on Winter simulation
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Proceedings of the 33nd conference on Winter simulation
Proceedings of the 35th conference on Winter simulation: driving innovation
Design and Analysis of Experiments
Design and Analysis of Experiments
A hybrid method for simulation factor screening
Proceedings of the 38th conference on Winter simulation
A data-integrated nurse activity simulation model
Proceedings of the 38th conference on Winter simulation
Controlled sequential bifurcation for software reliability study
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Important factors in screening for colorectal cancer
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Efficient experimental design tools for exploring large simulation models
Computational & Mathematical Organization Theory
Proceedings of the Winter Simulation Conference
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Screening experiments are performed to eliminate unimportant factors so that the remaining important factors can be more thoroughly studied in later experiments. Sequential screening methods are specifically fit for simulation experiments. They are usually more efficient than one-step procedures. The challenge is to prove the "correctness" of the result.This paper proposes Controlled Sequential Factorial Design (CSFD) for discrete-event simulations. It combines sequential hypothesis-testing procedures with the traditional factorial design to control the Type I Error and power for each factor under heterogeneous variances conditions. CSFD requires minimum assumptions and demonstrates robust performance with different system conditions.