Discrete-event simulation optimization using ranking, selection, and multiple comparison procedures: A survey

  • Authors:
  • James R. Swisher;Sheldon H. Jacobson;Enver Yücesan

  • Affiliations:
  • Mary Washington Hospital, Fredericksburg, VA;University of Illinois, Urbana, IL;INSEAD, France

  • Venue:
  • ACM Transactions on Modeling and Computer Simulation (TOMACS)
  • Year:
  • 2003

Quantified Score

Hi-index 0.01

Visualization

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.