Selecting the best system: a decision-theoretic approach
Proceedings of the 29th conference on Winter simulation
New Two-Stage and Sequential Procedures for Selecting the Best Simulated System
Operations Research
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Using Ranking and Selection to "Clean Up" after Simulation Optimization
Operations Research
Selecting a Selection Procedure
Management Science
A Framework for Selecting a Selection Procedure
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Ranking and selection meets robust optimization
Proceedings of the Winter Simulation Conference
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To efficiently compare Ranking and Selection procedures, we present a three-layer performance evaluation process. The two most popular formulations, namely the Bayes and Indifference Zone formulations, have a common representation analogous to convex risk measures used in quantitative risk management. We study decision makers' acceptance sets via an axiomatic approach and introduce a new performance measure using computational cost.