A review of simulation optimization techniques
Proceedings of the 30th conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Feature Article: Optimization for simulation: Theory vs. Practice
INFORMS Journal on Computing
Simulation-based optimization: practical introduction to simulation optimization
Proceedings of the 35th conference on Winter simulation: driving innovation
Allocation of simulation runs for simulation optimization
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Workflow-based dynamic scheduling of job shop operations
International Journal of Computer Integrated Manufacturing
Adaptive memory programming for constrained global optimization
Computers and Operations Research
Modeling and simulation competency center for mature enterprises
Proceedings of the International Workshop on Enterprises & Organizational Modeling and Simulation
INOC'11 Proceedings of the 5th international conference on Network optimization
Pseudo-Cut Strategies for Global Optimization
International Journal of Applied Metaheuristic Computing
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A growing number of business process management software vendors are offering simulation capabilities to extend their modeling functions and enhance their analytical proficiencies. Simulation is promoted to enable examination and testing of decisions prior to actually making them in the "real" environment. In this paper, we illustrate how to optimize simulation models, by presenting two examples of simulation optimization using OptQuest®. In the first case, we construct a discrete event simulation model of a hospital emergency room to determine a configuration of resources that results in the shortest average cycle time for patients. In the second case, we develop a simulation model to minimize staffing levels for personal claims processing in an insurance company. We then summarize some of the most relevant approaches that have been developed for the purpose of optimizing simulated systems and conclude with a metaheuristic black box approach that leads the field of practical applications.