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Specification and Management of the Knowledge Base for Design of Machine Tools and Their Integration into Manufacturing Facilities

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Artificial Intelligence in Design

Part of the book series: Artificial Intelligence in Industry Series ((AI INDUSTRY))

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Abstract

Engineering design problem solving, in general, is ill structured, i.e. high diversity, complexity and uncertainty are involved. Different strategies and techniques are employed in various design domains, and even within the same domain diversely by different designers. Design heuristics are difficult to organize in a form suitable to be coded into computer systems. The question of what underlies empirical and experiential expertise and skills in specific domains leads to a need for research on developing a general model of the design process. There seems to be little possibility however, in general, of achieving this goal without first experimenting with specific domain problems. A complete model of a manufacturing system must contain information describing both plant and product, reflecting the design process in systematic terms (both organizational and technological).

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Authors
  1. G. Q. Huang
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  2. J. A. Brandon
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Editor information

Editors and Affiliations

  1. School of Electrical, Electronic and Systems Engineering, University of Wales College of Cardiff, PO Box 904, Cardiff, CF1 3YH, UK

    D. T. Pham PhD

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© 1991 Springer-Verlag London Limited

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Huang, G.Q., Brandon, J.A. (1991). Specification and Management of the Knowledge Base for Design of Machine Tools and Their Integration into Manufacturing Facilities. In: Pham, D.T. (eds) Artificial Intelligence in Design. Artificial Intelligence in Industry Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-74354-2_8

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  • DOI: https://doi.org/10.1007/978-3-642-74354-2_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-74356-6

  • Online ISBN: 978-3-642-74354-2

  • eBook Packages: Springer Book Archive

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