Abstract
A simulation-based approach does not solve the underlying model by the means of mathematical calculus [167], but rather by varying different values for the input parameters of the model and analyzing the resulting outputs. Due to the complexity of supply chain systems, a simulation model needs to be endowed with an appropriate experiment setup for the efficient identification and assessment of the dynamics we want to find.
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© 2016 Springer Fachmedien Wiesbaden
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Heckmann, I. (2016). Design, Metamodeling, and Analysis of Simulation Experiments. In: Towards Supply Chain Risk Analytics. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-14870-6_7
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DOI: https://doi.org/10.1007/978-3-658-14870-6_7
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Publisher Name: Springer Gabler, Wiesbaden
Print ISBN: 978-3-658-14869-0
Online ISBN: 978-3-658-14870-6
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