PKC– Production Knowledge Chart for Knowledge Transfer

Shuichiro Yamamoto, Hideo Fujimoto

International Conference on Knowledge-Based Intelligent Information & Engineering Systems(2023)

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摘要
In the design of production processes in the manufacturing industry, it is necessary to transfer the defect investigation knowledge, which is the empirical knowledge of experienced workers, to beginners. Leonard and Swap pointed out the importance of acquiring empirical knowledge through experimental learning. However, they have not clarified the explicit empirical knowledge representation method and the experimental learning method. If the knowledge cannot be represented, empirical knowledge remains tacit, and the knowledge transfer from experts to beginners is not only individual and inefficient, but also difficult to reuse.
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关键词
PKC,Production Knowledge Chart,Deep Smart,Expert Knowledge Transfer
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