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http://dx.doi.org/10.5394/KINPR.2022.46.1.42

A Data Factorization Study for the Application of Digital Twin Technology to Container Ports  

Nam, Jung-Woo (KMI-KMOU Cooperation Course, Korea Maritime and Ocean University)
Kim, Yul-Seong (Logistics System Engineering, Korea Maritime and Ocean University)
Shin, Young-Ran (Graduate School of Global Logistics, Korea Maritime and Ocean University)
Publication Information
Journal of Navigation and Port Research / v.46, no.1, 2022 , pp. 42-56 More about this Journal
Abstract
Due to the 4th Industrial Revolution announced at the Davos Forum, the World Economic Forum, in 2016, industrial trends around the world are changing rapidly and intelligently. Among them, the digital twin is drawing attention from all industries as a groundbreaking technology that reduces unnecessary costs and trial and error by implementing real objects, systems, and environments in the same way in the real virtual world and using them to perform simulation analysis. In particular, there is a lot of interest in the application of digital twin technology in solving ports safety and efficiency challenges at once. However, there is a lack of in-depth research for the application of digital twin technology in the port, and in particular, there is a lack of research on measurable data for the implementation of the digital twin in ports. The purpose of this study was to increase granularity and connectivity through measurable data investigation for the application of digital twin technology at container ports. Based on the study results, data factors for container port application were classified into crane data, operational data, physical data, and transportation data, and factor composition, correlation with factors, and fitness were confirmed through confirmatory factor analysis.
Keywords
digital twin; port digital twin; exploratory factor analysis; confirmatory factor analysis; data factorization;
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Times Cited By KSCI : 4  (Citation Analysis)
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