Abstract
Existing concepts for control and malfunction handling in flexible manufacturing systems are mostly centrally structured. Accordingly, the existing knowledge-based systems for diagnosis and quality assurance have a central structure. These approaches don't fulfill future requirements towards increased availability and malfunction tolerance. At the iwb a new hierarchic control concept for autonomous manufacturing cells was developed and implemented. The approach enables an independent handling of occuring malfunctions, relieving the operators from routine interventions. The efficient use of decentral degrees of freedom to react autonomously to occuring malfunctions requires knowledge-based approaches. An analysis of the distributed knowledge bases and the different representations of knowledge shows, that an integrated design of the knowledge-based systems is vital for the successful development of future autonomous manufacturing cells.
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Reinhart, G., Diesch, R., Koch, M.R. (1996). Knowledge-based information processing in manufacturing cells — The present and the future. In: Calmet, J., Campbell, J.A., Pfalzgraf, J. (eds) Artificial Intelligence and Symbolic Mathematical Computation. AISMC 1996. Lecture Notes in Computer Science, vol 1138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61732-9_53
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DOI: https://doi.org/10.1007/3-540-61732-9_53
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