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

Abstract

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
Volume13
Issue number2
DOIs
StatePublished - Apr 1 2003

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Multiple Comparison Procedures
Ranking and Selection
Simulation Optimization
Discrete event simulation
Discrete Event Simulation
Alternatives
Statistical method
Finite Set
Statistical methods
Simulation Model
Costs
Design
Class

Keywords

  • Multiple comparisons
  • Ranking and selection
  • Simulation optimization

ASJC Scopus subject areas

  • Modeling and Simulation
  • Computer Science Applications

Cite this

Discrete-Event Simulation Optimization Using Ranking, Selection, and Multiple Comparison Procedures : A Survey. / Swisher, James R.; Jacobson, Sheldon Howard; Yücesan, Enver.

In: ACM Transactions on Modeling and Computer Simulation, Vol. 13, No. 2, 01.04.2003, p. 134-154.

Research output: Contribution to journalReview article

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