@inproceedings{a94bbfeeb2584d0c9088b5381ad1bcea,
title = "Digital Twin Simulation System for Reconfigurable Manufacturing Systems",
abstract = "In order to adapt to the multi-variety and small-batch production mode, reconfigurable manufacturing systems have been widely applied in various industries. However, the rapid reconfiguration of these systems poses challenges for workshop managers to grasp the workshop status in a real-time and comprehensive manner. This paper proposes a digital twin modeling and simulation technology for reconfigurable manufacturing systems, enabling concurrent production simulation and reconfiguration simulation of reconfigurable manufacturing systems. Through the use of digital twin technology, real-time simulation and visualization of physical workshops can be achieved, enhancing managerial efficiency.",
keywords = "digital twin, modeling, reconfigurable manufacturing system, simulation",
author = "Qishen Shan and Wei Cui and Aimin Wang and Sheng Wang",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2nd International Conference on Artificial Intelligence and Computer Information Technology, AICIT 2023 ; Conference date: 15-09-2023 Through 17-09-2023",
year = "2023",
doi = "10.1109/AICIT59054.2023.10278028",
language = "English",
series = "2023 International Conference on Artificial Intelligence and Computer Information Technology, AICIT 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 International Conference on Artificial Intelligence and Computer Information Technology, AICIT 2023",
address = "United States",
}