[논문]텍스트마이닝을 활용한 품질 4.0 연구동향 분석

김민준

doi:10.7469/jksqm.2023.51.3.403

[국내논문] 텍스트마이닝을 활용한 품질 4.0 연구동향 분석
Understanding of the Overview of Quality 4.0 Using Text Mining 원문보기

品質經營學會誌 = Journal of Korean society for quality management, v.51 no.3, 2023년, pp.403 - 418

김민준 (국립금오공과대학교 산업공학부)

Abstract ▼ AI-Helper

Purpose: The acceleration of technological innovation, specifically Industry 4.0, has triggered the emergence of a quality management paradigm known as Quality 4.0. This study aims to provide a systematic overview of dispersed studies on Quality 4.0 across various disciplines and to stimulate further academic discussions and industrial transformations. Methods: Text mining and machine learning approaches are applied to learn and identify key research topics, and the suggested key references are manually reviewed to develop a state-of-the-art overview of Quality 4.0. Results: 1) A total of 27 key research topics were identified based on the analysis of 1234 research papers related to Quality 4.0. 2) A relationship among the 27 key research topics was identified. 3) A multilevel framework consisting of technological enablers, business methods and strategies, goals, application industries of Quality 4.0 was developed. 4) The trends of key research topics was analyzed. Conclusion: The identification of 27 key research topics and the development of the Quality 4.0 framework contribute to a better understanding of Quality 4.0. This research lays the groundwork for future academic and industrial advancements in the field and encourages further discussions and transformations within the industry.

주제어

표/그림 (11)

그림 Figure 1. Changes in importance according to significant word extraction from each article
그림 Figure 2. Evaluation and interpretation of the clustering results
표 Table 1. Descriptive statistics with articles on Quality 4.0
표 Table 2. 27 key topics in the Quality 4.0 literature
그림 Figure 3. Enabler–business–goal–application framework for Quality 4.0
그림 Figure 4. Relationship among the 27 research topics
그림 Figure 5. Trend of level 1 research topics
그림 Figure 6. Trend of level 2 research topics
그림 Figure 7. Trend of level 3 research topics
그림 Figure 8. Trend of level 4 research topics
그림 Figure 9. Trend of level 5 research topics

참고문헌 (17)

Blei, D. M., Ng, A. Y., and Jordan, M. I. 2003. Latent Dirichlet Allocation. Journal of Machine Learning Research？3(Jan):993-1022.
Dias, A. M., Carvalho, A. M., and Sampaio, P. 2022. Quality 4.0: Literature Review Analysis, Definition and Impacts？of the Digital Transformation Process on Quality.？International Journal of Quality & Reliability Management？39(6):1312-1335.
Jacob, D. 2017. Quality 4.0 Impact and Strategy Handbook. LNS Research.
Jeong, Y. E. and Kim, Y. S. 2023. Analysis of Domestic Research Trends on Artificial Intelligence-Based Prognostics？and Health Management. Journal of Korean Society for Quality Management 51(2):223-245.
Kupper, D., Knizek,, C,. Ryeson, D., and Noecker, J. 2019. Quality 4.0 Takes More Than Technology. http://www.bcg.com.
Lee, E. J. and Cho, C. H. 2021. Analysis of Smart Factory Research Trends Based on Big Data Analysis. Journal？of Korean Society for Quality Management 49(4):551-567.
Lee, E. J. and Moon, J. 2022. Analysis of CSR.CSV.ESG Research Trends-Based on Big Data Analysis. Journal？of Korean Society for Quality Managemen 50(4):751-776.
Lim, C. and Maglio, P. P. 2018. Data-driven Understanding of Smart Service Systems through Text Mining. Service？Science 10(2):154-180.
Lin, C. J. 2007. Projected Gradient Methods for Nonnegative Matrix Factorization. Neural Computation 19(10):2756- 2779.

상세보기
Maganga, D. P. and Taifa, I. W. 2022. Quality 4.0 Conceptualisation: An Emerging Quality Management Concept？for Manufacturing Industries. The TQM Journal 35(2):389-413.
Okarma, K. and Fastowicz, J. 2020. Improved Quality Assessment of Colour Surfaces for Additive Manufacturing？Based on Image Entropy.？Pattern Analysis and Applications 23(3):1035-1047.

상세보기
Rousseeuw, P. J. 1987. Silhouettes: A Graphical Aid to the Interpretation and Validation of Cluster Analysis. Journal？of Computational and Applied Mathematics 20:53-65.

상세보기
Sader, S., Husti, I., and Daroczi, M. 2021. A Review of Quality 4.0: Definitions, Features, Technologies, Applications,？and Challenges. Total Quality Management & Business Excellence 33(9-10):1164-1182.
Seo, H., Byun, J., and Kim, D. 2021. Quality 4.0: Concept, Elements, Level Evaluation and Deployment Direction.？Journal of Korean Society for Quality Management 49(4):447-466.
Vagin, S. G., Lascencov, Y. N., Konovalova, M. E., and Frank, E. V. 2021. Quality and Safety in the Digital Economy:？Specifics of Developing Countries.？International Journal for Quality Research 15(3):773-796.

상세보기
Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., and Haenlein, M. 2021. Digital？Transformation: A Multidisciplinary Reflection and Research Agenda. Journal of Business Research 122:889- 901.

상세보기
Von Luxburg, U. 2007. A Tutorial on Spectral Clustering. Statistics and computing 17(4):395-416.？

상세보기

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 논문명, 저널/프로시딩명, 저자 , 발행년, 권, 호, 시작페이지, 끝페이지, 발행기관 관리번호, 논문명, 대등논문명, 저자 , 저널/프로시딩명, 발행기관, 발행년, 발행언어, 권, 호, 시작페이지, 끝페이지, ISBN, ISSN, 주제분야, 키워드, 초록(한글), 초록(영문), 저자(소속기관)
저장형식	Text(ASCII format) Excel format RefWorks Direct Export RIS format (for Reference Manager, ProCite, EndNote), Scholar's Aids, Mendeley
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

연합인증