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ESPRIT 932: Knowledge Based Real-Time Supervision in Computer Integrated Manufacturing (CIM)

  • Conference paper
Book cover Wissensbasierte Systeme

Part of the book series: Informatik — Fachberichte ((2252,volume 155))

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Abstract

The paper presents a unified methodology for analysis, design and implementation of AI based software modules, like expert systems for production planning, quality control and preventive maintenance, for the factory of the future, both large and small batch-oriented. An extension of the hierarchical NBS factory reference model towards a distributed intelligent controller model is proposed. Planning horizons and planning update periods determine the hierarchical levels whereas decision frames given from upper to lower levels are regarded as constraints determining a certain degree of self responsibility for each separate controller. The decision activities inside the factory are analyzed using the GRAI method. The functions of a CIM shell based on AI techniques are explained as a toolbox supporting design and implementation of the intelligent workcell controller.

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References

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Author information

Authors and Affiliations

  1. Philips GmbH Forschungslaboratorium Hamburg, Vogt-Kol ln-Str. 30, D-2000, Hamburg 54, Deutschland

    W. Meyer

Authors
  1. W. Meyer
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Editor information

Editors and Affiliations

  1. Institut für Informatik, TU München, Arcisstraße 21, 8000, München 2, Deutschland

    W. Brauer

  2. FB Informatik, Universität des Saarlandes, Im Stadtwald 15, 6600, Saarbrücken 11, Deutschland

    W. Wahlster

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© 1987 Springer-Verlag Berlin Heidelberg

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Meyer, W. (1987). ESPRIT 932: Knowledge Based Real-Time Supervision in Computer Integrated Manufacturing (CIM). In: Brauer, W., Wahlster, W. (eds) Wissensbasierte Systeme. Informatik — Fachberichte, vol 155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-88719-2_38

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  • DOI: https://doi.org/10.1007/978-3-642-88719-2_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-18494-2

  • Online ISBN: 978-3-642-88719-2

  • eBook Packages: Springer Book Archive

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