Simulation models are a surrogate for physical experimentation with a system, which is usually not cost-effective, disruptive, or simply impossible. Thus, if the model is not “valid,” any conclusions drawn from the model results are likely to be erroneous. In this seminar all major validation techniques are discussed and illustrated by examples based on actual simulation projects.
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