Abstract
This paper tries to stimulate empirical research into the overall impacts of intelligent system implementations in manufacturing aspects. To reach this goal, a schema of intelligent applications is provided for each aspect as frame base structure, meaning the knowledge of intelligent applications in that specific aspect. Then, a semantic network is developed for intelligent manufacturing based on hierarchical structure of manufacturing systems to provide Meta knowledge of intelligent manufacturing applications. The paper is concluded with discussions of application performance.
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Gholamian, M.R., Fatemi Ghomi, S.M.T. (2005). An Empirical Research in Intelligent Manufacturing: A Frame Based Representation of Ai Usages in Manufacturing Aspects. In: Camarinha-Matos, L.M. (eds) Emerging Solutions for Future Manufacturing Systems. BASYS 2004. IFIP International Federation for Information Processing, vol 159. Springer, Boston, MA. https://doi.org/10.1007/0-387-22829-2_17
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DOI: https://doi.org/10.1007/0-387-22829-2_17
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