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Artificial Intelligence Support System for Manufacturing Planning and Control

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Advanced Manufacturing Systems and Technology

Part of the book series: International Centre for Mechanical Sciences ((CISM,volume 372))

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Abstract

Modern approach to manufacturing management requests quick decisions and appropriate real-time solutions. Paper presents the framework for the integrated solution of the scheduling and transportation problem that uses the AI production system supported by neural networks, constraint-based reasoning and genetic algorithms. The framework is superior to the traditional MS/OR approach in real-time manufacturing planning and control and produces quick and reasonable (sometimes optimal) solutions.

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References

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Author information

Authors and Affiliations

  1. University of Zagreb, Zagreb, Croatia

    D. Benic

Authors
  1. D. Benic
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Editor information

Editors and Affiliations

  1. University of Udine, Italy

    E. Kuljanic

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© 1996 Springer-Verlag Wien

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Benic, D. (1996). Artificial Intelligence Support System for Manufacturing Planning and Control. In: Kuljanic, E. (eds) Advanced Manufacturing Systems and Technology. International Centre for Mechanical Sciences, vol 372. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2678-3_33

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  • DOI: https://doi.org/10.1007/978-3-7091-2678-3_33

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-82808-3

  • Online ISBN: 978-3-7091-2678-3

  • eBook Packages: Springer Book Archive

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