Proceedings of the 30th conference on Winter simulation
New advances for wedding optimization and simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Simulation optimization: a survey of simulation optimization techniques and procedures
Proceedings of the 32nd conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Output modeling: abc's of output analysis
Proceedings of the 33nd conference on Winter simulation
Proceedings of the 33nd conference on Winter simulation
Proceedings of the 33nd conference on Winter simulation
Panel: simulation optimization: future of simulation optimization
Proceedings of the 33nd conference on Winter simulation
Perspectives on the Evolution of Simulation
Operations Research
Using Ranking and Selection to "Clean Up" after Simulation Optimization
Operations Research
Simulation-based optimization: practical introduction to simulation optimization
Proceedings of the 35th conference on Winter simulation: driving innovation
Design and Analysis of Experiments
Design and Analysis of Experiments
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This study is based on a real scenario in which simulation modeling is used in order to understand the behavior of the system. Sensitivity analysis, design of experiments, regression analysis for metamodeling purposes, and optimization are key elements of the simulation output analysis and are used in order to identify critical parameters and their relationship to multiple responses or output variables. Understanding this relationship allows to build mathematical expressions for the output variables which are the foundation for the optimization. Typical simulation optimization methods are not of practical value for this application. An optimization tool based on mathematical programming is developed. The tool is validated in terms of the metamodels' accuracy and the capacity to find a local optimum within the search region.