A survey of ranking, selection, and multiple comparison procedures for discrete-event simulation

Author

Swisher, James R. ; Jacobson, Sheldon H.

Author_Institution

Lotus Biochem. Corp., Radford, VA, USA

Volume

1

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

492

Abstract

Discrete event simulation models are often constructed so that an analyst may compare two or more competing design alternatives. The paper presents a survey of the literature for two widely used 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. In addition, an example of the application of B.L. Nelson and F.J. Matejcik´s (1995) combined R&S-MCP procedure is given

Keywords

bibliographies; discrete event simulation; optimisation; set theory; statistical analysis; best design; combined R&S-MCP procedure; competing design alternatives; discrete event simulation models; finite set; multiple comparison procedures; ranking and selection; statistical methods; unified R&S-MCP approaches; Algorithm design and analysis; Approximation algorithms; Design optimization; Discrete event simulation; Jacobian matrices; Response surface methodology; Road transportation; Statistical analysis; Steady-state; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Simulation Conference Proceedings, 1999 Winter

Conference_Location

Phoenix, AZ

Print_ISBN

0-7803-5780-9

Type

conf

DOI

10.1109/WSC.1999.823115

Filename

823115