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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References
Crawford, T.M. and Marton, V. (1987), A machine learning approach to expert systems for fault diagnosis in communications equipment, Computer-Aided Eng. J. 4(1), 31–38.
Fox, M.S. (1986), Industrial Applications of AI, Robotics, Vol. 2, Elsevier Science Publishers, pp. 301–311.
Gevarter, W.B. (1987), Automatic probabilistic knowledge acquisition from data, Proc. 3rd Data Engineering Conf., Brighton, England.
Hatvany, J. (1985), Intelligence and cooperation in heterarchic manufacturing systems, J. Robotics Computer Integrated Manufacturing 2(2), 147–155.
Jones, A.T. and McLean, C.R. (1986), A proposed hierarchical control for automated manufacturing systems, J. Manufacturing Systems 5(1), 15025.
Lu, S.C.Y. and Chen, K. (1987), A machine learning approach to the automatic synthesis of mechanistic knowledge for engineering decision-making, AI EDAM 1(2), 109–118.
McLean, C.R. (1985), An architecture for intelligent manufacturing control, Proc. ASME Conf. Computers in Engineering, Vol. 2, pp. 391–397.
McLean, C.R. (1986), Information architecture for the automated manufacturing research facility (AMRF), Proc. Information Technologies Conf., New York.
Michalski, R.S. (1986), Machine Learning, An Artificial Intelligence Approach, Vol. II, Morgan Kaufman.
Michalski, R.S. (1987), Learning strategies and automated knowledge acquisition, in Computational Models of Learning (ed. Leonard Bolc), Springer-Verlag, Berlin.
Mitchell, T.M., Mahadevan, S., and Steinberg, L.I. (1985), LEAP: a learning apprentice for VLSI design, IJCAI, 573–580.
Nevins, J.L. et al. (1983), Adaptive control, learning, and cost effective sensor systems for robotic or advanced automation systems, Proc. 1st Internat. Symp. Robotics Research, vol. 1, pp. 983–994.
Segre, A.M. (1987), A learning apprentice system for mechanical assembly, Proc. 3rd IEEE Conf. AI Applications, Orlando, Florida, pp. 112–117.
Spur, G. and Specht, D. (1987), Computer integrated manufacturing in future factories, J. Robotics Computer Integrated Manufacturing 3(2), 147–155.
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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