Output analysis: output analysis for simulations
Proceedings of the 32nd conference on Winter simulation
Output analysis: analysis of simulation output
Proceedings of the 35th conference on Winter simulation: driving innovation
Digital video cluster simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Improving confidence in network simulations
Proceedings of the 38th conference on Winter simulation
Application-level QoS: improving video conferencing quality through sending the best packet next
International Journal of Internet Protocol Technology
Modeling and simulation of a re-entrant manufacturing system using Colored Petri Nets
Proceedings of the 45th Annual Simulation Symposium
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One of the most important but neglected aspects of a simulation study is the proper design and analysis of simulation experiments. In this tutorial we give a state-of-the-art presentation of what the practitioner really needs to know to be successful. We will discuss how to choose the simulation run length, the warmup-period duration (if any), and the required number of model replications (each using different random numbers). The talk concludes with a discussion of three critical pitfalls in simulation output-data analysis.