Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
492280 | Simulation Modelling Practice and Theory | 2012 | 13 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Fatah Chetouane, Kash Barker, Andrea S. Viacaba Oropeza,