Sensitivity analysis for simulation-based decision making: Application to a hospital emergency service design

Fatah Chetouane, Kash Barker, Andrea S. Viacaba Oropeza
Simulation Modelling Practice and Theory Volume 20, Issue 1, January 2012, Pages 99–111

Abstract

An increasing concern of decision makers when dealing with system design is preparation for a wide range of potentially uncertain operating conditions. This paper provides a novel multiobjective approach for simulation-driven decision making that accounts for not only the conventional average system performance indices, but also (i) upper-tail, or extreme, values of these indices, and (ii) measures of their sensitivity to uncertainty in model parameters. The proposed approach is applied to a hospital emergency department service design case study wherein different design alternatives are compared using total time-in-system performance metric under multiple uncertain operating conditions.

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