Abstract
The introduction of Flexibility in Manufacturing is currently a great source of complexity in the design of production processes and, more precisely, in the design of the control of these flexible manufacturing systems (FMS). The methodology of design of FMS control is insufficiently developed and at present the approach is essentially empirical. The need to find efficient methodologies has led to the development of many different works over the last ten years. We propose here to consider 2 kinds of models generally used for the aided design FMS control:
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(i)
Models of control based on Petri nets (PN)
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(ii)
The use of A.I techniques of knowledge representation in Manufacturing.
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Gentina, JC. (1993). Artificial Intelligence Concepts and Petri Nets for Modelling Simulation and Control of Flexible Manufacturing Systems. In: Tzafestas, S. (eds) Expert Systems in Engineering Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-84048-7_17
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DOI: https://doi.org/10.1007/978-3-642-84048-7_17
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