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Ranking and selection with multiple "targets"

Published: 03 December 2006 Publication History

Abstract

Managers of large industrial projects often measure performance by multiple attributes. In previous work, we developed a multiattribute ranking and selection procedure to allow tradeoffs between conflicting objectives. More recent developments in ranking and selection incorporate the notion of "constraints", or "targets", that must be satisfied. In this paper we demonstrate how some forms of single attribute utility functions can be used to create a target or constraint. We re-analyze our original problem under the assumption that there are unacceptable levels for some attributes.

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Cited By

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  • (2017)Optimal computing budget allocation for ranking the top designs with stochastic constraintsProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242367(1-7)Online publication date: 3-Dec-2017
  • (2014)Selection Procedures for Simulations with Multiple Constraints under Independent and Correlated SamplingACM Transactions on Modeling and Computer Simulation10.1145/256792124:3(1-25)Online publication date: 1-May-2014
  • (2013)Minimizing opportunity cost in selecting the best feasible designProceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World10.5555/2675983.2676098(898-907)Online publication date: 8-Dec-2013
  • Show More Cited By

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Published In

cover image ACM Conferences
WSC '06: Proceedings of the 38th conference on Winter simulation
December 2006
2429 pages
ISBN:1424405017

Sponsors

  • IIE: Institute of Industrial Engineers
  • ASA: American Statistical Association
  • IEICE ESS: Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
  • IEEE-CS\DATC: The IEEE Computer Society
  • SIGSIM: ACM Special Interest Group on Simulation and Modeling
  • NIST: National Institute of Standards and Technology
  • (SCS): The Society for Modeling and Simulation International
  • INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation

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Winter Simulation Conference

Publication History

Published: 03 December 2006

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WSC06
Sponsor:
  • IIE
  • ASA
  • IEICE ESS
  • IEEE-CS\DATC
  • SIGSIM
  • NIST
  • (SCS)
  • INFORMS-CS
WSC06: Winter Simulation Conference 2006
December 3 - 6, 2006
California, Monterey

Acceptance Rates

WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Cited By

View all
  • (2017)Optimal computing budget allocation for ranking the top designs with stochastic constraintsProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242367(1-7)Online publication date: 3-Dec-2017
  • (2014)Selection Procedures for Simulations with Multiple Constraints under Independent and Correlated SamplingACM Transactions on Modeling and Computer Simulation10.1145/256792124:3(1-25)Online publication date: 1-May-2014
  • (2013)Minimizing opportunity cost in selecting the best feasible designProceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World10.5555/2675983.2676098(898-907)Online publication date: 8-Dec-2013
  • (2011)Guessing preferencesProceedings of the Winter Simulation Conference10.5555/2431518.2432034(4324-4336)Online publication date: 11-Dec-2011
  • (2011)Assessing oil spill risk in port tanker operations using a multiattribute utility approach to ranking and selectionProceedings of the Winter Simulation Conference10.5555/2431518.2431718(1696-1707)Online publication date: 11-Dec-2011
  • (2010)A minimal switching procedure for constrained ranking and selectionProceedings of the Winter Simulation Conference10.5555/2433508.2433646(1145-1151)Online publication date: 5-Dec-2010
  • (2009)Optimal computing budget allocation for constrained optimizationWinter Simulation Conference10.5555/1995456.1995546(584-589)Online publication date: 13-Dec-2009

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