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High order neural networks to control manufacturing systems - a comparison study

Rovithakis, George A., 1968-, Gaganis Vasileios, Perrakis, Stelios, Christodoulou Manolis

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URI: http://purl.tuc.gr/dl/dias/078E7339-3C35-4329-A994-B2FAC9CBE623
Year 1998
Type of Item Conference Full Paper
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Bibliographic Citation G. Rovithakis, V. Gaganis, S. Perrakis and M. Christodoulou, “High order neural networks to control manufacturing systems - a comparison study”, in 37th IEEE Conference on Decision and Control, 1998, pp. 2736-2737. doi: 10.1109/CDC.1998.757868 https://doi.org/10.1109/CDC.1998.757868
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Summary

In this paper the neuro adaptive scheduling methodology isevaluated by comparing its performance with conventional schedulers,through simulation studies. The case study chosen constitutes anexisting manufacturing cell, which can be viewed as a highly complexnonacyclic FMS, with extremely heterogenous part processing times. Theresults reveal superiority of our algorithm in terms of backlogging andinventory cost, system stability and work-in-process

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