이기한 이관우 장승환 박상철 이선재 유온유 윤정익 2024-03 2508-4003 https://aurora.ajou.ac.kr/handle/2018.oak/37848 https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART003058368 With the advancement of manufacturing technology, production systems have become increas- ingly complex. Digital twin has gained attention in these complex systems for enhancing pro- ductivity 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 syn- chronization between the actual manufacturing system and its digital twin enables the imple- mentation 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 informa- tion 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 pre- diction information. The operators then use this information to identify the cause and take pro- active 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. Kor 한국CDE학회 조립 생산 시스템에서의 디지털 트윈 개발 : 사례 연구 Development of Digital Twin in an Assembly Production System: Case Study Article 49 1 42 한국CDE학회 논문집 29 한국CDE학회 논문집, Vol.29 No.1, pp.42-49 10.7315/CDE.2024.042 Abnormal situation Assembly production system Decision support system Digital twin Just-In-Sequence Predictive simulation Real time monitoring Article