Abstract
The systematic design of intelligent manufacturing systems (IMSs) is a complex task that requires an understanding of the nature and structure of manufacturing systems, as well as the models used to represent such systems. This chapter discusses some critical issues in making precise the representation and utilization of knowledge for intelligent manufacturing design. The representational issues include the analysis of the structure of manufacturing plants and the representation of these systems as automata. The utilization issues relate to two conceptually separable clusters: decision rules and performance metrics.
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Parthasarathy, S., Kim, S.H. (1991). Design of Intelligent Manufacturing Systems: Critical Decision Structures and Performance Metrics. 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_19
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DOI: https://doi.org/10.1007/978-3-642-74354-2_19
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