Viharos, Zsolt János (2008) AI based automatic production system decomposition. In: DET 2008. 5th international conference on digital enterprise technology. Nantes, 2008..

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Abstract

This paper introduces a new approach for automatic plant decomposition based on artificial intelligence (AI) techniques. A novel automatic solution based on a generalized feature selection technique and on artificial neural network (ANN) training was developed by the author. The main goal is to explore connections among parameters of a given database, and based on the modelled dependency sets validated groups of parameters can form individual parts of the analysed system. Applying this technique to a production database containing data typically inherited from the shop-floor level through process monitoring systems (or based on virtual simulation models) results groups of connected production parameters. Consequently it allows decomposing a running or simulated manufacturing system into smaller, individual and autonomous components, so, the approach can provide the basis for production system decomposition and reconfiguration, too.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Artificial Intelligence, Decomposition Method, Monitoring, Simulation, Reconfiguration
Subjects:	Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions:	Research Laboratory on Engineering & Management Intelligence
Depositing User:	Eszter Nagy
Date Deposited:	11 Dec 2012 15:31
Last Modified:	11 Dec 2012 15:31
URI:	https://eprints.sztaki.hu/id/eprint/5374

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