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http://dx.doi.org/10.6109/jkiice.2021.25.3.471

AI/BIG DATA-based Smart Factory Technology Status Analysis for Effective Display Manufacturing  

Jung, Sukwon (Division of Computer and Information Engineering, Hoseo University)
Lim, Huhnkuk (Division of Computer and Information Engineering, Hoseo University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.25, no.3, 2021 , pp. 471-477 More about this Journal
Abstract
In the field of display, a smart factory means more efficient display manufacturing using AI/BIG DATA technology not only for job automation, but also for existing process management, moving facilities, process abnormalities, and defect classification. In the past, when defects appeared in the display manufacturing process, the classification of defects and coping with process abnormalities were different, a lot of time was consumed for this. However, in the field of display manufacturing, advanced process equipment must be used, and it can be said that the competitiveness of the display manufacturing industry is to quickly identify the cause of defects and increase the yield. In this paper, we will summarize the cases in which smart factory AI/BIG DATA technology is applied to domestic display manufacturing, and analyze what advantages can be derived compared to existing methods. This information can be used as prior knowledge for improved smart factory development in the field of display manufacturing using AI/BIG DATA.
Keywords
Smart factory; AI/BIG DATA; Display; Process; Defect classification;
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