Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Discovering Dispatching Rules Using Data Mining
Journal of Scheduling
Scheduling: Theory, Algorithms, and Systems
Scheduling: Theory, Algorithms, and Systems
Challenges for the automatic generation of simulation models for production systems
Proceedings of the 2010 Summer Computer Simulation Conference
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Automatic generation of simulation models has been a recurring topic in scientific papers for years. A common problem of all known model generation approaches is the generation of dynamic behavior, e.g. buffering or control strategies. This paper introduces a novel methodology for generation of dynamic behavior, based on artificial neural networks, which is usable directly in the simulation. We also test the approach in a manageable scenario; all results are illustrated via small simulation experiments.