This research aimed to extract the design knowledge of piping in order to clarify the knowledge of piping design and to utilize it for designer education and automation. In order to extract design knowledge, we interviewed two expert designers, two middle-careered designers and one newcomer designer using protocol analysis method, and extracted a total of 209 design knowledge. As a result, we found that the designers designed based on 12 common knowledge common to designers. Also, Individual based knowledge in the form of "conditions and correspondence" accumulates. Especially, it is important to efficiently extract qualitative data that occupies a large number. It tums out that the granularity of the model is different for each process in the supply chain. In the future, based on the understanding of the commonality and variation of knowledge of multiple people with different design experiences obtained in this study, we will study an automation system or educational system that changes the support level according to the degree of skill or knowledge.
CITATION STYLE
Inoue, R., Chida, K., & Ota, J. (2020). Piping design knowledge extraction and analysis of differences due to design experience - Development of automatic pipe routing system 1st report - Development o. Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering, 86(5), 375–379. https://doi.org/10.2493/jjspe.86.375
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