A Production Knowledge Representation for Knowledge Transfer

Abstract

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.In this paper, we propose a production knowledge chart (PKC) that expresses the production process to acquire the empirical knowledge necessary for investigating defects in the production process. In addition, we clarify the effectiveness of the proposed method by expressing a general production process with PKC. In addition, we will discuss future research.