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In order to test the effectiveness of the proposed approach, a simulation case study is developed.
To show effectiveness of the proposed approach, a simulation example is given.
Using this approach, a simulation exercise with specific numerical values for demand and cost parameters was conducted, allowing a first comparative assessment of prototypes of spectrum governance regimes.
On this approach, a simulation is any system that is believed, or hoped, to have dynamical behavior that is similar enough to some other system such that the former can be studied to learn about the latter.
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In order to evaluate the benefits of an inter-company use of this documentation approach a simulation-based decision support system using a modular modeling concept for intra- and inter-company process chains has been developed.
A numerical study is performed which analyzes the effect of mesh parameter settings on the prediction accuracy of the P-approach, a simulation concept which has been proposed earlier by the author for predicting process-induced distortion of composite structures.
In the second proposed approach, a CA simulation model combines with dynamically dimensioned search optimization method.
The Lagrangian simulation, a discrete simulation, is implemented with a spreadsheet approach, a discrete simulation approach, and a new stochastic differential equation solution approach.
The paper presents an advanced modeling approach and a simulation model for supporting supply chain management.
The implementation of this approach in a simulation environment for practical control engineering tasks is demonstrated.
Rigorous application of this approach in a simulation sense is limited here to linear kinetically controlled reactions.
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