Discrete-Event Simulation Optimization Using Ranking, Selection, and Multiple Comparison Procedures: A Survey

James R. Swisher, Sheldon Howard Jacobson, Enver Yücesan

Research output: Contribution to journalReview article


An important use for discrete-event simulation models lies in comparing and contrasting competing design alternatives without incurring any physical costs. This article presents a survey of the literature for two widely used classes of statistical methods for selecting the best design from among a finite set of k alternatives: ranking and selection (R&S) and multiple comparison procedures (MCPs). A comprehensive survey of each topic is presented along with a summary of recent unified R&S-MCP approaches. Procedures are recommended based on their statistical efficiency and ease of application; guidelines for procedure application are offered.

Original languageEnglish (US)
Pages (from-to)134-154
Number of pages21
JournalACM Transactions on Modeling and Computer Simulation
Issue number2
StatePublished - Apr 1 2003



  • Multiple comparisons
  • Ranking and selection
  • Simulation optimization

ASJC Scopus subject areas

  • Modeling and Simulation
  • Computer Science Applications

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