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Open AccessArticle

Exploring the Research Trend of Smart Factory with Topic Modeling

1
Department of Information and Communication Engineering, DGIST, Daegu 42988, Korea
2
Department of Industrial and Management Engineering/Intelligence and Manufacturing Research Center, Kyonggi University, Suwon, Gyeonggi 16227, Korea
*
Author to whom correspondence should be addressed.
Sustainability 2018, 10(8), 2779; https://doi.org/10.3390/su10082779
Received: 9 July 2018 / Revised: 30 July 2018 / Accepted: 3 August 2018 / Published: 6 August 2018
(This article belongs to the Special Issue Sustainable Materials and Manufacturing)
Growing competition among manufacturing businesses and the advent of the Fourth Industrial Revolution has meant that many countries are conducting various research projects to understand how to introduce and populate smart factories. Smart factories are expected to provide a way of solving the manufacturing industries’ complex problems, to take a role in breakthroughs in factories and to carry on a sustainable business. Smart factories are currently in the introduction stage, so we should follow up on the majorities and check their tendencies. However, smart-factory research is an interdisciplinary field that should be studied by researchers with diverse backgrounds in various domains. Thus, studying the past and present overall research trends of smart factory studies is required for their successful introduction and sustainable research. In this study, we explored the research trends of smart factories in both international and specifically Korean research, as an example of a nation case, to determine the major research directions. We determined trends using latent semantic analysis, which is a known topic-modeling technique, and analyzed the trends with regression-based methods. As a result, we could read the clear trends by analyzing existing studies related to smart factories. In addition, it is possible to compare research trends in Korea and international research trends for the commonly appeared topics, such as ‘ICT’ (Information and Communications Technology) and ‘R&D (Research and Development)/Technology Innovation’. We expect that the quantitative analysis results and suggestions presented in this study can be used to formulate strategies for the future diffusion of smart factories. View Full-Text
Keywords: research trend analysis; smart factory; industry 4.0; topic modeling; latent semantic analysis research trend analysis; smart factory; industry 4.0; topic modeling; latent semantic analysis
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MDPI and ACS Style

Yang, H.-L.; Chang, T.-W.; Choi, Y. Exploring the Research Trend of Smart Factory with Topic Modeling. Sustainability 2018, 10, 2779. https://doi.org/10.3390/su10082779

AMA Style

Yang H-L, Chang T-W, Choi Y. Exploring the Research Trend of Smart Factory with Topic Modeling. Sustainability. 2018; 10(8):2779. https://doi.org/10.3390/su10082779

Chicago/Turabian Style

Yang, Hyun-Lim; Chang, Tai-Woo; Choi, Yerim. 2018. "Exploring the Research Trend of Smart Factory with Topic Modeling" Sustainability 10, no. 8: 2779. https://doi.org/10.3390/su10082779

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