Journal of System Simulation
Abstract
Abstract: To fully use the real-time data of the physical workshop to realize the accurate mapping of the data to the virtual workshop and drive the simulation and optimization of the manufacturing system, a data mapping method for the digital twin simulation of production performance is proposed. The fusion process of simulation data and production logic model is analyzed from the aspects of simulation data modeling, storage and updating. Focusing on the production performance simulation requirements, the redundancy analysis, outlier analysis and elimination, statistics and fitting of the original production site sample data is preprocessed. The real-time mapping update process of the simulation data of machine equipment and WIP is given in detail, and the simulation operation, production performance analysis and optimization of the digital twin of production performance are driven. The application process of the approach is showed by a case of a manufacturing workshop, which verifies the feasibility and effectiveness of the simulation data mapping method.
Recommended Citation
Wang, Junfeng; Zhang, Yufan; Shao, Yaoqi; and Li, Shiqi
(2021)
"Research on Simulation Data Mapping for Production Performance Digital Twin,"
Journal of System Simulation: Vol. 33:
Iss.
10, Article 20.
DOI: 10.16182/j.issn1004731x.joss.20-0506
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol33/iss10/20
First Page
2470
Revised Date
2020-10-21
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-0506
Last Page
2477
CLC
TP391.9
Recommended Citation
Wang Junfeng, Zhang Yufan, Shao Yaoqi, Li Shiqi. Research on Simulation Data Mapping for Production Performance Digital Twin[J]. Journal of System Simulation, 2021, 33(10): 2470-2477.
DOI
10.16182/j.issn1004731x.joss.20-0506
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons