지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.3
- 수록면
- 42 - 49 (8page)
- DOI
- 10.7315/CDE.2024.042
이용수
초록· 키워드
오류제보하기
With the advancement of manufacturing technology, production systems have become increasingly complex. Digital twin has gained attention in these complex systems for enhancing productivity and optimizing operations. This paper proposes a method for developing a digital twin capable of predicting future abnormal situations in assembly production systems. Real-time synchronization between the actual manufacturing system and its digital twin enables the implementation of a virtual factory. This virtual factory can accurately represent the real-time status of the target system using state calculation logic. Based on the real-time monitoring information provided by the virtual factory, it is possible to set the initial condition of simulation. When the digital twin predicts production issues, it provides the manufacturing operators with this prediction information. The operators then use this information to identify the cause and take proactive actions. Finally, this paper presents a case study where the proposed digital twin development method has been applied to a domestic home appliances assembly line.
목차
ABSTRACT
1. 서론
2. 문제 접근
3. 디지털 트윈 구현 방법
4. 적용 사례
5. 결론
References
참고문헌 (14)
참고문헌 신청
Fuller, A., Fan, Z., Day, C. and Barlow, C., 2020, Digital Twin: Enabling Technologies, Challenges and Open Research, IEEE Access, 8, pp.108952-108971, https://doi.org/10.1109/ACCESS.2020.2998358
Zhong, R.Y., Dai, Q.Y., Qu, T., Hu, G.J. and Huang, G.Q., 2013, RFID-enabled Real-time Manufacturing Execution System for Mass-customization Production, Robotics and Computer-Integrated Manufacturing, 29(2), pp.283-292, https://doi.org/10.1016/j.rcim.2012.08.001
Redelinghuys, A.J.H., Basson, A.H. and Kruger, K., 2020, A Six-layer Architecture for the Digital Twin: A Manufacturing Case Study Implementation, Journal of Intelligent Manufacturing, 31, pp.1383-1402, https://doi.org/10.1007/s10845-019-01516-6
Meissner, S., 2010, Controlling Just-in-sequence Flow-production, Logistics Research, 2(1), pp.45-53, https://doi.org/10.1007/s12159-010-0026-5
Safari, G., Hafezalkotob, A. and Khalilzadeh, M., 2017, A Novel Mathematical Model for a Hybrid Flow Shop Scheduling Problem under Buffer and Resource Limitations-A Case Study, Journal of Industrial and Systems Engineering, 10(Special Issue on Scheduling), pp.58-77, https://www.jise.ir/article_53350_6f179acba8fe77035a87a854e0c84d46.pdf
Zhong, R.Y., Dai, Q.Y., Qu, T., Hu, G.J. and Huang, G.Q., 2013, RFID-enabled Real-time Manufacturing Execution System for Mass-customization Production, Robotics and Computer-Integrated Manufacturing, 29(2), pp.283-292, https://doi.org/10.1016/j.rcim.2012.08.001
Redelinghuys, A.J.H., Basson, A.H. and Kruger, K., 2020, A Six-layer Architecture for the Digital Twin: A Manufacturing Case Study Implementation, Journal of Intelligent Manufacturing, 31, pp.1383-1402, https://doi.org/10.1007/s10845-019-01516-6
Meissner, S., 2010, Controlling Just-in-sequence Flow-production, Logistics Research, 2(1), pp.45-53, https://doi.org/10.1007/s12159-010-0026-5
Safari, G., Hafezalkotob, A. and Khalilzadeh, M., 2017, A Novel Mathematical Model for a Hybrid Flow Shop Scheduling Problem under Buffer and Resource Limitations-A Case Study, Journal of Industrial and Systems Engineering, 10(Special Issue on Scheduling), pp.58-77, https://www.jise.ir/article_53350_6f179acba8fe77035a87a854e0c84d46.pdf
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