So you have your model: what to do next. A tutorial on simulation output analysis
Proceedings of the 30th conference on Winter simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Output analysis: output analysis procedures for computer simulations
Proceedings of the 32nd conference on Winter simulation
Output analysis: output analysis for simulations
Proceedings of the 32nd conference on Winter simulation
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Two types of variability can occur in model output: variability between replications and variability within each replication. The objective of the model combined with the type of output variability determines which tool is more appropriate for output analysis. Many output analysis techniques are used to translate simulation model results into a format that answers the model objective. This paper compares two tools for output analysis: confidence intervals and statistical process control. Each tool quantifies a different type of variation from the model results. As such, statistical process control is applied beyond monitoring the consistency of run data. A supply chain example with one factory, multiple parts, and multiple distribution centers is used throughout the paper to illustrate these concepts.