Mezgár, István and Egresits, Csaba and Monostori, László (1997) Design and real-time reconfiguration of robust manufacturing systems by using design of experiments and artificial neural networks. COMPUTERS IN INDUSTRY, 33. pp. 61-70. ISSN 0166-3615 10.1016/S0166-3615(97)00011-0

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Abstract

A methodology for design and real-time reconfiguration of robust manufacturing systems is described which combines design of experimental technology, Taguchi method and knowledge-based simulation techniques. Artificial neural networks are proposed for mapping between design factors and system performance. The applicability of the approach is analysed through experiments for the estimation of the throughput time, and the determination of Automated Guided Vehicle (AGV) speed in a given system. In contrast to the simulation-based approach, the solution using artificial neural networks can also be used in real-time circumstances. (C) 1997 Elsevier Science B.V.

Item Type:	Article
Subjects:	Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions:	Computer Integrated Manufacturing Laboratory Research Laboratory on Engineering & Management Intelligence
SWORD Depositor:	MTMT Injector
Depositing User:	MTMT Injector
Date Deposited:	19 Jan 2022 15:02
Last Modified:	19 Jan 2022 15:02
URI:	https://eprints.sztaki.hu/id/eprint/10305

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