Institutional Repository
Technical University of Crete
Technical University of Crete
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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 | ||
| Appears in Collections |
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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