Abstract | ||
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In this paper, we develop a ranking and selection procedure for making multiple comparisons of systems that have multiple performance measures. The procedure combines multiple attribute utility theory with ranking and selection to select the best configuration from a set of K configurations using the indifference zone approach. We demonstrate our procedure on a simulation model of a large project that has six performance measures. |
Year | DOI | Venue |
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1998 | 10.1109/WSC.1998.745056 | Simulation Conference Proceedings, 1998. Winter |
Keywords | Field | DocType |
management science,performance index,project engineering,simulation,statistical analysis,best configuration,indifference zone approach,large project,multiple attribute utility theory,multiple comparisons,multiple performance measures,ranking,selection procedure,simulation model | Data mining,Ranking,Performance index,Computer science,Multiple comparisons problem,Project engineering,Technical report,Utility theory,Statistical analysis | Conference |
Volume | ISBN | Citations |
1 | 0-7803-5133-9 | 15 |
PageRank | References | Authors |
4.71 | 2 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Douglas J. Morrice | 1 | 538 | 116.21 |
John C. Butler | 2 | 179 | 21.20 |
Peter W. Mullarkey | 3 | 111 | 15.61 |