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Trend Analysis of Factory Automation Using Topic Modeling.

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Bibliographic Details
Title: Trend Analysis of Factory Automation Using Topic Modeling.
Authors: Cho, Insu, Ju, Yonghan
Source: Processes; Jul2025, Vol. 13 Issue 7, p1952, 20p
Subject Terms: ARTIFICIAL intelligence, AUTOMATION, WIRELESS communications, INDUSTRIAL efficiency, COMPUTER vision, TREND analysis, DOCUMENT clustering, PATENT databases
Geographic Terms: SOUTH Korea
Abstract: Factory automation (FA) is a vital technology that enhances manufacturing efficiency, reduces defect rates, and maximizes productivity in response to evolving market demands. This study analyzes global research and development (R&D) trends in FA based on patent information from major manufacturing countries. It also proposes growth directions for FA technology in South Korea, applying latent Dirichlet allocation (LDA) to identify key technologies for the Korean market. Specifically, FA-related technology is classified into five topics, with documents less likely to belong to a single topic being reclassified and analyzed as hybrid topics. Furthermore, this study analyzes the growth rate of FA-related technologies and the current level of technological emergence through a four-quadrant analysis, providing valuable insights into global R&D trends. The results demonstrate that artificial intelligence-related patents are important for FA. Further R&D is necessary, as the development of wireless communication technology suitable for industrial environments has become crucial and is a competitive technology for FA in terms of infrastructure and maintenance. Visual processing technology, which enables accurate decision making using artificial intelligence in a precise and constantly changing operating environment through FA, requires more attention to secure international competitiveness in the Korean market. [ABSTRACT FROM AUTHOR]
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Database: Complementary Index
Description
Abstract:Factory automation (FA) is a vital technology that enhances manufacturing efficiency, reduces defect rates, and maximizes productivity in response to evolving market demands. This study analyzes global research and development (R&D) trends in FA based on patent information from major manufacturing countries. It also proposes growth directions for FA technology in South Korea, applying latent Dirichlet allocation (LDA) to identify key technologies for the Korean market. Specifically, FA-related technology is classified into five topics, with documents less likely to belong to a single topic being reclassified and analyzed as hybrid topics. Furthermore, this study analyzes the growth rate of FA-related technologies and the current level of technological emergence through a four-quadrant analysis, providing valuable insights into global R&D trends. The results demonstrate that artificial intelligence-related patents are important for FA. Further R&D is necessary, as the development of wireless communication technology suitable for industrial environments has become crucial and is a competitive technology for FA in terms of infrastructure and maintenance. Visual processing technology, which enables accurate decision making using artificial intelligence in a precise and constantly changing operating environment through FA, requires more attention to secure international competitiveness in the Korean market. [ABSTRACT FROM AUTHOR]
ISSN:22279717
DOI:10.3390/pr13071952