Selecting a good system: Procedures and inference

Barry L. Nelson*, Souvik Banerjee

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

We present two-stage experiment designs for use in simulation experiments that compare systems in terms of their expected (long-run average) performance. These procedures simultaneously achieve the following with a prespecified probability of being correct: (i) find the best system or a near-best system; (ii) identify a subset of systems that are more than a practically insignificant difference from the best; and (iii) provide a lower confidence bound on the probability that the best or near-best system will be selected. All of the procedures assume normally distributed data, but versions allow unequal variances and common random numbers.

Original languageEnglish (US)
Pages (from-to)149-166
Number of pages18
JournalIIE Transactions (Institute of Industrial Engineers)
Volume33
Issue number3
DOIs
StatePublished - Mar 2001

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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