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Theory and Practice in Decision Support for Manufacturing Control

  • Conference paper
Data Base Management: Theory and Applications

Part of the book series: Nato Advanced Study Institutes Series ((ASIC,volume 98))

Abstract

Decision support systems for manufacturing control with emphasis on operational control of computerized production system are discussed. Current design of such DSS relies mainly on general data base technology. However, future developments must incorporate artificial intelligence techniques in order to handle effectively decision complexities under the time constraints of the new manufacturing environments. DSS design considerations are reviewed.

Additional research effort is required in two main areas:

  1. 1.

    Efficient manufacturing knowledge representation and reasoning;

  2. 2.

    Interface between human decision makers in the manufacturing system, and the computerized DSS.

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References

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Author information

Authors and Affiliations

  1. Purdue University, USA

    Shimon Y. Nof

  2. Tel-Aviv University, Israel

    Shimon Y. Nof

Authors
  1. Shimon Y. Nof
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Editor information

Editors and Affiliations

  1. Department of Business Administration, University of Illinois, 61820, Champaign, Illinois, USA

    Clyde W. Holsapple

  2. Krannert Graduate School of Management, Purdue University, 47907, West Lafayette, Indiana, USA

    Andrew B. Whinston

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© 1983 D. Reidel Publishing Company

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Nof, S.Y. (1983). Theory and Practice in Decision Support for Manufacturing Control. In: Holsapple, C.W., Whinston, A.B. (eds) Data Base Management: Theory and Applications. Nato Advanced Study Institutes Series, vol 98. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-7029-8_14

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  • DOI: https://doi.org/10.1007/978-94-009-7029-8_14

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-009-7031-1

  • Online ISBN: 978-94-009-7029-8

  • eBook Packages: Springer Book Archive

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