[논문]빅데이터 분석을 활용한 스마트팩토리 연구 동향 분석

이은지; 조철호

doi:10.7469/jksqm.2021.49.4.551

빅데이터 분석을 활용한 스마트팩토리 연구 동향 분석
Analysis of Smart Factory Research Trends Based on Big Data Analysis 원문보기

品質經營學會誌 = Journal of Korean society for quality management, v.49 no.4, 2021년, pp.551 - 567

이은지 (연세대학교 글로벌인재대학) , 조철호 (대구한의대학교 경영학과)

Abstract ▼ AI-Helper

Purpose: The purpose of this paper is to present implications by analyzing research trends on smart factories by text analysis and visual analysis(Comprehensive/ Fields / Years-based) which are big data analyses, by collecting data based on previous studies on smart factories. Methods: For the collection of analysis data, deep learning was used in the integrated search on the Academic Research Information Service (www.riss.kr) to search for "SMART FACTORY" and "Smart Factory" as search terms, and the titles and Korean abstracts were scrapped out of the extracted paper and they are organize into EXCEL. For the final step, 739 papers derived were analyzed using the Rx64 4.0.2 program and Rstudio using text mining, one of the big data analysis techniques, and Word Cloud for visualization. Results: The results of this study are as follows; Smart factory research slowed down from 2005 to 2014, but until 2019, research increased rapidly. According to the analysis by fields, smart factories were studied in the order of engineering, social science, and complex science. There were many 'engineering' fields in the early stages of smart factories, and research was expanded to 'social science'. In particular, since 2015, it has been studied in various disciplines such as 'complex studies'. Overall, in keyword analysis, the keywords such as 'technology', 'data', and 'analysis' are most likely to appear, and it was analyzed that there were some differences by fields and years. Conclusion: Government support and expert support for smart factories should be activated, and researches on technology-based strategies are needed. In the future, it is necessary to take various approaches to smart factories. If researches are conducted in consideration of the environment or energy, it is judged that bigger implications can be presented.

주제어

표/그림 (14)

그림 Figure 1. Research Method
그림 Figure 2. status of papers by year
표 Table 1. Survey Configuration
그림 Figure 3. status of papers by year by field
그림 Figure 4. frequency keyword analysis and wordcloud about title
그림 Figure 5. frequency keyword analysis and wordcloud about korean abstract
그림 Figure 6. frequency keyword analysis and wordcloud about korean abstract of engineering
그림 Figure 7. frequency keyword analysis and wordcloud about korean abstract of social science
그림 Figure 8. frequency keyword analysis and wordcloud about korean abstract of interdisciplinary science
그림 Figure 9. frequency keyword analysis and wordcloud about korean abstract of agricultural marine science
그림 Figure 10. frequency keyword analysis and wordcloud about korean abstract of art and physical education
그림 Figure 11. frequency keyword analysis and wordcloud about korean abstract of 2005-2010
그림 Figure 12. frequency keyword analysis and wordcloud about korean abstract of 2011-2015
그림 Figure 13. frequency keyword analysis and wordcloud about korean abstract of 2016-2020

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