Statistical tools for simulation practitioners
Statistical tools for simulation practitioners
A new class of supersaturated designs
Technometrics
Design of experiments: robust design: seeking the best of all possible worlds
Proceedings of the 32nd conference on Winter simulation
Integrating optimization and simulation: research and practice
Proceedings of the 32nd conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Experimental design for simulation: experimental design for simulation
Proceedings of the 35th conference on Winter simulation: driving innovation
Issues on simulation and optimization II: robust hybrid designs for real-time simulation trials
Proceedings of the 35th conference on Winter simulation: driving innovation
Designing simulation experiments
WSC '04 Proceedings of the 36th conference on Winter simulation
Application of design of experiments on the simulation of a process in an automotive industry
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Proceedings of the Winter Simulation Conference
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Simulation models are useful for examining the performance of alternative system configurations and/or alternative operating procedures for a system. This tutorial provides some techniques for planning a set of simulation model runs, in order to gain insight on system behavior. There is an emphasis on graphical methods for planning the experiment and displaying the results.