Journal Article10.1145/1667072.1667074
Simulation modeling for analysis
984
TL;DR: It is shown that a tight coupling of the modeling and analysis phases in a simulation project can lead to dramatic improvements in the study results, and suggestions are made for how simulation analysis, considered in the explicit context of discrete-event simulation models, can create new opportunities for meaningful research and more efficient modeling.
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Abstract: This article explores possibilities for designing and executing simulation models with specific analysis goals in mind, and shows that a tight coupling of the modeling and analysis phases in a simulation project can lead to dramatic improvements in the study results. Suggestions are made for how simulation analysis, considered in the explicit context of discrete-event simulation models, can create new opportunities for meaningful research and more efficient modeling. Modeling decisions can play a significant role in the performance of analytical procedures. How a simulation model is designed can enable, inhibit, or even invalidate analytical procedures and methodology research results.
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Citations
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Introduction to Monte Carlo simulation
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- 07 Dec 2008
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