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Integrating learning and decision-making in intelligent manufacturing systems

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Abstract

This paper presents an overview of learning and decision-making in intelligent manufacturing systems. Machine learning techniques applicable to design and manufacturing are reviewed. Issues related to the role of learning in manufacturing decision-making and two related examples are discussed. The architecture, algorithm and implementation of the first prototype of IMAFO, an intelligent supervisory system, which has learning capabilities, are explained.

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Famili, A. Integrating learning and decision-making in intelligent manufacturing systems. J Intell Robot Syst 3, 117–130 (1990). https://doi.org/10.1007/BF00242160

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  • DOI: https://doi.org/10.1007/BF00242160

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