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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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
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