Simulation Modeling and Analysis
Simulation Modeling and Analysis
Simulation experiments: designing simulation experiments
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Designing simulation experiments
WSC '04 Proceedings of the 36th conference on Winter simulation
Discrete Optimization via Simulation Using COMPASS
Operations Research
Recent advances in ranking and selection
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Two-phase screening procedure for simulation experiments
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Some topics for simulation optimization
Proceedings of the 40th Conference on Winter Simulation
Design of experiments: overview
Proceedings of the 40th Conference on Winter Simulation
Design and Analysis of Simulation Experiments
Design and Analysis of Simulation Experiments
How to build valid and credible simulation models
Winter Simulation Conference
Better than a petaflop: the power of efficient experimental design
Winter Simulation Conference
Verification and validation of simulation models
Winter Simulation Conference
Simulation optimization using metamodels
Winter Simulation Conference
Robust simulation-optimization using metamodels
Winter Simulation Conference
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So you have built and validated a simulation model -- how are you going to gain insight about the associated real system in order to make decisions? This introductory tutorial gives an overview of experiment design techniques for planning a series of simulation runs. These techniques make efficient use of simulation runs to uncover the impact of system design parameters on simulation output performance. The tutorial highlights graphical methods for planning the experiment and displaying the results.