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A JavaScript-based API and model implementation in the system dynamics formalism replicate previous model results.
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Since its implementation in 1995, the system — which Cemex calls its "dynamic synchronization of operations" — has increased its trucks' productivity by 35%.
After the setup of the fuzzy inference system and its implementation in Simulink, the system was tested with various input values.
Some key implementation technologies in the system are discussed, especially the Hadoop Apache framework.
Moreover we give a sketch of an implementation in the Maude system, and demonstrate the use of its model checker to verify simple system properties.
Moreover, the first steps toward the implementation in the real system are showed.
Experiments using an implementation in the Horus system show that significant performance improvements can be achieved with this approach.
This information can be taken into account in the further implementation of the system in every day care, but also by making system adaptations in order to increase the chance of professionals' system use.
Finally, in this work, the practical implementation of the system in urban areas is also addressed, thus highlighting the steps to maximize the effectiveness of the system.
The discussion is specifically based on relaying implementation in the LTE-Advanced system.
This would enable an improved understanding of coordination in disruption management before implementation in the real-life system.
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