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http://dx.doi.org/10.9723/jksiis.2022.27.4.065

Analysis of global trends on smart manufacturing technology using topic modeling  

Oh, Yoonhwan (과학기술정책연구원 미래사회연구단)
Moon, HyungBin (부경대학교 데이터정보과학부 빅데이터융합전공)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.27, no.4, 2022 , pp. 65-79 More about this Journal
Abstract
This study identified smart manufacturing technologies using patent and topic modeling, and compared the technology development trends in countries such as the United States, Japan, Germany, China, and South Korea. To this purpose, this study collected patents in the United States and Europe between 1991 and 2020, processed patent abstracts, and identified topics by applying latent Dirichlet allocation model to the data. As a result, technologies related to smart manufacturing are divided into seven categories. At a global level, it was found that the proportion of patents in 'data processing system' and 'thermal/fluid management' technologies is increasing. Considering the fact that South Korea has relative competitiveness in thermal/fluid management technologies related to smart manufacturing, it would be a successful strategy for South Korea to promote smart manufacturing in heavy and chemical industry. This study is significant in that it overcomes the limitations of quantitative technology level evaluation proposed a new methodology that applies text mining.
Keywords
Smart manufacturing; Patent analysis; Topic modeling; Technology Trends; Technology strategy;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
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