Modelling and online training method for digital twin workshop

Reference

• Aivaliotis, P., K. Georgoulias, and G. Chryssolouris. 2019. “The Use of Digital Twin for Predictive Maintenance in Manufacturing.” International Journal of Computer Integrated Manufacturing 32 (11): 1067–1080. doi:10.1080/0951192X.2019.1686173.
   Web of Science ®Google Scholar
• Autiosalo, J., J. Vepsäläinen, R. Viitala, and K. Tammi. 2020. “A Feature-Based Framework for Structuring Industrial Digital Twins.” IEEE Access 8: 1193–1208. doi:10.1109/ACCESS.2019.2950507.
   Web of Science ®Google Scholar
• Cai, Y., B. Starly, P. Cohen, and Y. S. Lee. 2017. “Sensor Data and Information Fusion to Construct Digital-Twins Virtual Machine Tools for Cyber-Physical Manufacturing.” Procedia Manufacturing 10: 1031–1042.
   Google Scholar
• Coelho, F., S. Relvas, and A. P. Barbosa-Póvoa. 2021. “Simulation-based Decision Support Tool for in-House Logistics: The Basis for a Digital Twin.” Computers & Industrial Engineering 153 (107094): 0360–8352.
   Google Scholar
• Ding, K., F. T. S. Chan, X. D. Zhang, G. H. Zhou, and F. Q. Zhang. 2019. “Defining a Digital Twin-Based Cyber-Physical Production System for Autonomous Manufacturing in Smart Shop Floors.” International Journal of Production Research 57 (20): 6315–6334. doi:10.1080/00207543.2019.1566661.
   Web of Science ®Google Scholar
• Guo, J. T., H. B. Hong, K. K. Zhong, X. J. Liu, and Y. Guo. 2020. “Production Management and Control Method of Aerospace Manufacturing Workshops Based on Digital Twin.” China Mechanical Engineering 31 (07): 808–814. doi:10.3969/j.issn.1004-132X.2020.07.006.
   Google Scholar
• Guo, J., N. Zhao, L. Sun, and S. Zhang. 2018. “Modular Based Flexible Digital Twin for Factory Design.” Journal of Ambient Intelligence and Humanized Computing 10: 1189–1200.
   Web of Science ®Google Scholar
• Guo, H. F., Y. X. Zhu, Y. Zhang, Y. P. Ren, M. S. Chen, and R. Zhang. 2021. “A Digital Twin-Based Layout Optimization Method for Discrete Manufacturing Workshop.” The International Journal of Advanced Manufacturing Technology 112: 1307–1318. doi:10.1007/s00170-020-06568-0.
   Web of Science ®Google Scholar
• Jiang, H. F., S. F. Qin, J. L. Fu, J. Zhang, and G. F. Ding. 2021. “How to Model and Implement Connections Between Physical and Virtual Models for Digital Twin Application.” Journal of Manufacturing Systems 58 (Part B): 36–51. doi:10.1016/j.jmsy.2020.05.012.
   Web of Science ®Google Scholar
• Jones, David, Chris Snider, Aydin Nassehi, Jason Yon, and Ben Hicks. 2020. “Characterising the Digital Twin: A Systematic Literature Review.” CIRP Journal of Manufacturing Science and Technology 29: 36–52.
   Web of Science ®Google Scholar
• Kyu, T. P., J. Seung-Woo, and D. N. Sang. 2021. “Digitaltwin Application with Horizontal Coordination for Reinforcement-Learning-Based Production Control in a Re-Entrant Job Shop.” International Journal of Production Research. doi:10.1080/00207543.2021.1884309.
   PubMed Web of Science ®Google Scholar
• Leng, J. W., D. X. Yan, Q. Liu, H. Zhang, G. G. Zhao, L. J. Wei, D. Zhang, A. L. Yu, and X. Chen. 2021. “Digital Twin-Driven Joint Optimisation of Packing and Storage Assignment in Large-Scale Automated High-Rise Warehouse Product-Service System.” International Journal of Computer Integrated Manufacturing 34 (7-8): 783–800. doi:10.1080/0951192X.2019.1667032.
   Web of Science ®Google Scholar
• Leng, J. W., H. Zhang, D. X. Yan, Q. Liu, X. Chen, and D. Zhang. 2019. “Digital Twin-Driven Manufacturing Cyber-Physical System for Parallel Controlling of Smart Workshop.” Journal of Ambient Intelligence and Humanized Computing 10 (3): 1155–1166. doi:10.1007/s12652-018-0881-5.
   Web of Science ®Google Scholar
• Liu, J., C. B. Zhuang, J. H. Liu, T. Miao, and J. Q. Wang. 2021. “Online Prediction Technology of Workshop Operating Status Based on Digital Twin.” Computer Integrated Manufacturing System 27 (02): 467–477. doi:10.13196/j.cims.2021.02.014.
   Google Scholar
• Liu, L. Y., H. X. Du, H. F. Wang, and T. Y. Liu. 2019. “Construction and Application of Digital Twin System for Production Process in Workshop.” Computer Integrated Manufacturing System 25 (06): 1536–1545. doi:10.13196/j.cims.2019.06.021.
   Google Scholar
• Luo, W., T. Hu, C. Zhang, and Y. Wei. 2019. “Digital Twin for CNC Machine Tool: Modeling and Using Strategy.” Journal of Ambient Intelligence and Humanized Computing 10: 1129–1140. doi:10.1007/s12652-018-0946-5.
   Web of Science ®Google Scholar
• Qian, W. W., Y. Guo, K. Cui, P. X. Wu, W. G. Fang, and D. Y. Liu. 2021. “Multidimensional Data Modeling and Model Validation for Digital Twin Workshop.” Journal of Computing and Information Science in Engineering 21 (3): 031005. doi:10.1115/1.4049634.
   Web of Science ®Google Scholar
• Rasheed, A., O. San, and T. Kvamsdal. 2020. “Digital Twin: Values, Challenges and Enablers from a Modeling Perspective.” IEEE Access 8: 21980–22012.
   Web of Science ®Google Scholar
• Redelinghuys, A. J. H., A. H. Basson, and K. Kruger. 2020. “A six-Layer Architecture for the Digital Twin: A Manufacturing Case Study Implementation.” Journal of Intelligent Manufacturing 31: 1383–1402.
   Web of Science ®Google Scholar
• Santos, C. H. D., J. A. B. Montevechi, J. A. D. Queiroz, R. D. C. Miranda, and F. Leal. 2021. “Decision Support in Productive Processes Through DES and ABS in the Digital Twin Era: A Systematic Literature Review.” International Journal of Production Research. doi:10.1080/00207543.2021.1898691.
   PubMed Web of Science ®Google Scholar
• Savolainen, J., and M. Urbani. 2021. “Maintenance Optimization for a Multi-Unit System with Digital Twin Simulation.” Journal of Intelligent Manufacturing 32: 1953–1973. doi:10.1007/s10845-021-01740-z.
   Web of Science ®Google Scholar
• Schluse, M., M. Priggemeyer, L. Atorf, and J. Rossmann. 2018. “Experimentable Digital Twins-Streamlining Simulation-Based Systems Engineering for Industry 4.0.” IEEE TranSacTionS on InduSTrial InFormaTicS 14 (no. 4): 1722–1731. doi:10.1109/TII.2018.2804917.
   Web of Science ®Google Scholar
• Tao, F., F. Y. Sui, A. Liu, Q. L. Qi, M. Zhang, B. Y. Song, Z. R. Guo, Stephen C.-Y. Lu, and A. Y. C. Nee. 2021. “Digital Twin-Driven Product Design Framework.” International Journal of Production Research 57 (12): 3935–3953. doi:10.1080/00207543.2018.1443229.
   Web of Science ®Google Scholar
• Tao, F., and M. Zhang. Digital Twin Shop-Floor. 2017. “A New Shop-Floor Paradigm Towards Smart Manufacturing.” IEEE Access 5: 20418–20427.
   Web of Science ®Google Scholar
• Tao, F., M. Zhang, Y. S. Liu, and A. Y. C. Nee. 2018. “Digital Twin Driven Prognostics and Health Management for Complex Equipment.” CIRP Annals 67 (1): 169–172.
   Web of Science ®Google Scholar
• Um, J., S. Weyer, and F. Quint. 2017. “Plug-and-Simulate Within Modular Assembly Line Enabled by Digital Twins and the use of AutomationML.” IFAC-PapersOnLine 50 (1): 15904–15909.
   Google Scholar
• Wang, P., and M. Luo. 2021. “A Digital Twin-Based big Data Virtual and Real Fusion Learning Reference Framework Supported by Industrial Internet Towards Smart Manufacturing.” Journal of Manufacturing Systems 58 (Part A): 16–32.
   Web of Science ®Google Scholar
• Wang, J. J., L. K. Ye, Robert X. Gao, C. Li, and L. B. Zhang. 2019. “Digital Twin for Rotating Machinery Fault Diagnosis in Smart Manufacturing.” International Journal of Production Research 57 (12): 3920–3934. doi:10.1080/00207543.2018.1552032.
   Web of Science ®Google Scholar
• Weyer, S., T. Meyer, M. Ohmer, D. Gorecky, and D. Zühlke. 2016. “Future Modeling and Simulation of CPS-Based Factories: An Example from the Automotive Industry.” IFAC-PapersOnLine 49 (31): 97–102.
   Google Scholar
• Zhang, Z. M., Z. L. Guan, Y. M. Gong, D. Luo, and L. Yue. 2022. “Improved Multi-Fidelity Simulation-Based Optimisation: Application in a Digital Twin Shop Floor.” International Journal of Production Research 60 (3): 1016–1035. doi:10.1080/00207543.2020.1849846.
   Web of Science ®Google Scholar
• Zhang, H., Q. Liu, X. Chen, D. Zhang, and J. Leng. 2017. “A Digital Twin-Based Approach for Designing and Multi-Objective Optimization of Hollow Glass Production Line.” IEEE Access 5: 26901–26911.
   Web of Science ®Google Scholar
• Zhang, C., Q. C. Sun, W. Sun, X. K. Mu, and Y. L. Wang. 2021. “A Construction Method of Digital Twin Model for Contact Characteristics of Assembly Interface.” The International Journal of Advanced Manufacturing Technology 113: 2685–2699. doi:10.1007/s00170-021-06751-x.
   Web of Science ®Google Scholar
• Zhang, C. Y., W. J. Xu, J. Y. Liu, Z. H. Liu, Z. D. Zhou, and D. T. Pham. 2021. “Digital Twin-Enabled Reconfigurable Modeling for Smart Manufacturing Systems.” International Journal of Computer Integrated Manufacturing 34 (7-8): 709–733. doi:10.1080/0951192X.2019.1699256.
   Web of Science ®Google Scholar
• Zhang, H., Q. Yan, and Z. Wen. 2020. “Information Modeling for Cyber-Physical Production System Based on Digital Twin and AutomationML.” The International Journal of Advanced Manufacturing Technology 107: 1927–1945.
   Web of Science ®Google Scholar
• Zhang, L., L. F. Zhou, and K. P. H. Berthold. 2021. “Building a Right Digital Twin with Model Engineering.” Journal of Manufacturing Systems 59: 151–164.
   Web of Science ®Google Scholar
• Zhang, M., Y. Zuo, and F. Tao. 2018. “Equipment Energy Consumption Management in Digital Twin Shop-Floor: A Framework and Potential Applications.” 15th International Conference on Networking, Sensing and Control (ICNSC), March 27–29. IEEE. doi: 10.1109/ICNSC.2018.8361272.
   Google Scholar
• Zhou, C., K. T. Sun, J. Li, C. G. Yu, and L. K. Ju. 2020. “Workshop 3D Visualization Monitoring System Based on Digital Twin.” Computer Integrated Manufacturing System, 1–18. https://kns.cnki.net/kcms/detail/11.5946.TP.20200817.0917.008.html.
   Google Scholar
• Zhuang, C., J. Liu, and H. Xiong. 2018. “Digital Twin-Based Smart Production Management and Control Framework for the Complex Product Assembly Shop-Floor.” The International Journal of Advanced Manufacturing Technology 96 (1-4): 1149–1163.
   Web of Science ®Google Scholar