Introduction to operations research, 4th ed.
Introduction to operations research, 4th ed.
Design of experiments: robust design: seeking the best of all possible worlds
Proceedings of the 32nd conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Feature Article: Optimization for simulation: Theory vs. Practice
INFORMS Journal on Computing
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Military applications of agent-based simulations
WSC '04 Proceedings of the 36th conference on Winter simulation
Data farming: discovering surprise
WSC '04 Proceedings of the 36th conference on Winter simulation
Assessing obstacle location accuracy in the REMUS unmanned underwater vehicle
WSC '04 Proceedings of the 36th conference on Winter simulation
Statistical selection of the best system
WSC '05 Proceedings of the 37th conference on Winter simulation
Design and Analysis of Experiments
Design and Analysis of Experiments
State-of-the-Art Review: A User's Guide to the Brave New World of Designing Simulation Experiments
INFORMS Journal on Computing
Work smarter, not harder: guidelines for designing simulation experiments
Proceedings of the 38th conference on Winter simulation
Government preparedness: Using simulation to prepare for a terrorist attack
Computers and Operations Research
Work smarter, not harder: guidelines for designing simulation experiments
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
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We present the basic concepts of experimental design, the types of goals it can address, and why it is such an important and useful tool for simulation. A well-designed experiment allows the analyst to examine many more factors than would otherwise be possible, while providing insights that could not be gleaned from trial-and-error approaches or by sampling factors one at a time. We focus on experiments that can cut down the sampling requirements of some classic designs by orders of magnitude, yet make it possible and practical to develop an understanding of a complex simulation model and gain insights into its behavior. Designs that we have found particularly useful for simulation experiments are illustrated using simple simulation models, and we provide links to other resources for those wishing to learn more. Ideally, this tutorial will leave you excited about experimental designs---and prepared to use them---in your upcoming simulation studies.