Controlled sequential bifurcation: A new factor-screening method for discrete-event simulation

Hong Wan*, Bruce E. Ankenman, Barry L. Nelson

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

60 Scopus citations


Screening experiments are performed to eliminate unimportant factors so that the remaining important factors can be more thoroughly studied in later experiments. Sequential bifurcation (SB) is a recent screening method that is well suited for simulation experiments; the challenge is to prove the "correctness" of the results. This paper proposes controlled sequential bifurcation, a procedure that incorporates a hypothesis-testing approach into SB to control error and power. A detailed algorithm is given, conditions that guarantee performance are provided, and an empirical evaluation is presented.

Original languageEnglish (US)
Pages (from-to)743-755
Number of pages13
JournalOperations Research
Issue number4
StatePublished - Jul 2006


  • Factor screening
  • Sequential bifurcation
  • Simulation: design of experiments
  • Statistical analysis

ASJC Scopus subject areas

  • Computer Science Applications
  • Management Science and Operations Research


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