4차 산업혁명 디지털 트윈 기술의 품질경영 적용 연구
Review on the Application of Industry 4.0 Digital Twin Technology to the Quality Management
0
조회
0
다운로드
4
인용
0
참고문헌
키워드
초록
Purpose: Authors observe the digital twin enabled smart factory and/or digital manufacturing processes where Industry 4.0 technologies and quality management principles intersect. In this regard, this study reviews existing research regarding digital twins from the perspective of quality management. Methods: Initially, attention was given to how digital twins are manifested in the Industry 4.0 environment. Then, authors identify quality management elements amongst digital twin models, to align the concept of quality with the functional purpose of digital twins. After introducing specific examples of quality management tools applied to digital twins, the authors extend the domain of quality management into the analysis of multimedia format quality data obtained through machine vision. Results: Inspired by cases on the quality management application to digital twins, the authors suggest a framework for Industry 4.0 quality management. The envisioned suggested framework encompasses 4 dimensions, namely, 4M&1E, an application time window, new methodologies, and enabling technologies. Conclusion: Finally, the authors unfold the emerging trend of digital twin enabled smart factories, while emphasizing the necessity of quality management in conjunction with the introduction of digital twins.
Abstract
Purpose: Authors observe the digital twin enabled smart factory and/or digital manufacturing processes where Industry 4.0 technologies and quality management principles intersect. In this regard, this study reviews existing research regarding digital twins from the perspective of quality management. Methods: Initially, attention was given to how digital twins are manifested in the Industry 4.0 environment. Then, authors identify quality management elements amongst digital twin models, to align the concept of quality with the functional purpose of digital twins. After introducing specific examples of quality management tools applied to digital twins, the authors extend the domain of quality management into the analysis of multimedia format quality data obtained through machine vision. Results: Inspired by cases on the quality management application to digital twins, the authors suggest a framework for Industry 4.0 quality management. The envisioned suggested framework encompasses 4 dimensions, namely, 4M&1E, an application time window, new methodologies, and enabling technologies. Conclusion: Finally, the authors unfold the emerging trend of digital twin enabled smart factories, while emphasizing the necessity of quality management in conjunction with the introduction of digital twins.
참고문헌 (13)
- Boschert S., "Mechatronic Futures: Challenges and Solutions for Mechatronic Systems and their Designers", pp.59~74 (2016), Springer
- "Industrie 4.0: Smart Manufacturing for the Future" (2014)[URL]
- Moreno, A., "Virtualisation process of a sheet metal punching machine within the Industry 4. 0 vision", International Journal of Interactive Design and Manufacturing, 11, pp.365~373 (2017)
- Penna, R., "Visualization Tool for Cyberphysical Maintenance Systems", 12th IEEE International Conference on Industrial Informatics (INDIN), pp.566~571 (2014)
- Rosen, R., "About the Importance of Automomy and Digital Twins for the Future of Manufacturing", IFAC-PapersOnLine, 48(3), pp.567~572 (2015)
- Schleich, B., "Shaping the Digital Twin for Design and Production Engineering", CIRP Annals-Manufacturing Technology, 66, pp.141~144 (2017)
- Schroeder, G., "Visualising the Digital Twin using Web Services and Augmented Reality", 14th IEEE International Conference on Industrial Informatics (INDIN), pp.522~527 (2016)
- Soderberg, R., "Toward a Digital Twin for real-time geometry assurance in individualized production", CIRP Annals-Manufacturing Technology, 66, pp.137~140 (2017)
- Uhlemann, T., "The Digital Twin : Realizing the Cyber-Physical Production System for Industry 4. 0", 24th CIRP Conference on Life Cycle Engineering, 61, pp.335~340 (2017)
- Vachalek, J., "The Digital Twin of an Industrial Production Line Within the Industry 4.0 Concept", 21st International Conference on Process Control (2017)
- Yerra, V. A., "IIoT-Enabled Production System for Composite Intensive Vehicle Manufacturing", SAE International Journal of Engines, 10(2), pp.209~214 (2017)
- Zarubin, S. G., "Process Model of Digital Manufacturing", Russian Engineering Research, 37(8), pp.714~719 (2017)