스마트 제조 시스템을 지원하기 위한 프로세스 기반의 모델링 및 시뮬레이션 방법 연구
Research of the Process-based Modeling & Simulation Method to support Smart Manufacturing System
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초록
Smart manufacturing systems play a pivotal role in Industry 4.0, facilitating critical tasks within the manufacturing environment. This study proposes a process-based modeling and simulation (PBM&S) method to support the implementation of such systems. The PBM&S method integrates resource information, functions, and process flows of entities to enable performance analysis through simulation. The PBM&S method consists of four main steps: (1) creating virtual unit models based on resource information; (2) developing encapsulated models by representing entity characteristics and process flows as modules; (3) identifying interrelationships between models and creating process-based models; and (4) performing performance analysis of the generated models using a simulation engine. A case study was conducted to evaluate the PBM&S method within the context of a shipbuilding production line. In conclusion, PBM&S can be integrated with advanced technologies such as cyber-physical systems (CPS), machine learning, and artificial intelligence, contributing significantly to the development of the manufacturing industry.
Abstract
Smart manufacturing systems play a pivotal role in Industry 4.0, facilitating critical tasks within the manufacturing environment. This study proposes a process-based modeling and simulation (PBM&S) method to support the implementation of such systems. The PBM&S method integrates resource information, functions, and process flows of entities to enable performance analysis through simulation. The PBM&S method consists of four main steps: (1) creating virtual unit models based on resource information; (2) developing encapsulated models by representing entity characteristics and process flows as modules; (3) identifying interrelationships between models and creating process-based models; and (4) performing performance analysis of the generated models using a simulation engine. A case study was conducted to evaluate the PBM&S method within the context of a shipbuilding production line. In conclusion, PBM&S can be integrated with advanced technologies such as cyber-physical systems (CPS), machine learning, and artificial intelligence, contributing significantly to the development of the manufacturing industry.
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