Journal of Korean Society for Quality Management (품질경영학회지)

Korean Society for Quality Management (한국품질경영학회)
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Understanding of the Overview of Quality 4.0 Using Text Mining

텍스트마이닝을 활용한 품질 4.0 연구동향 분석

  • Kim, Minjun (School of Industrial Engineering, Kumoh National Institute of Technology)
  • 김민준 (국립금오공과대학교 산업공학부)
  • Received : 2023.08.02
  • Accepted : 2023.09.08
  • Published : 2023.09.30
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Abstract

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.

Keywords

Acknowledgement

이 연구는 금오공과대학교 대학 학술연구비로 지원되었음(2021).

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