Author(s)

Chong Yang ¹, Xiaofeng Ren ¹, Yujun Zhao ¹

Affiliation(s)

¹ Changqing Engineering Design CO., Ltd, Xi'an, Shaanxi, 710018, China

Corresponding Author

Chong Yang

ABSTRACT

Issues and current situation in digital twin platform construction are analyzed, and the factory management system based on such a platform, which includes production management module, control module, safety and environmental protection module, QHSE management module, and precision service module etc. is summarized in this paper. Real-time data interaction between virtual factories and physical factories enables continuous iterative optimization of this management system. It ensures uninterrupted production while achieving a comprehensive dynamic perception of factory operations, real-time optimization of production processes, automated production tasks, proactive trend prediction, efficient production control coordination, objective and precise management, and quantifiable decision-making support. This system significantly contributes to enhancing enterprise safety, environmental protection, quality improvement, cost reduction, and efficiency.

KEYWORDS

Digital Twin, Production Control Coordination, Comprehensive Perception, Real-Time Optimization

CITE THIS PAPER

Chong Yang, Xiaofeng Ren, Yujun Zhao, A Factory Management System Based on Digital Twin Platform and Methodology. Industrial Engineering and Innovation Management (2024) Vol. 7: 63-70. DOI: http://dx.doi.org/10.23977/ieim.2024.070210.

REFERENCES

[1] Liu Jin, Guan Juntao, Zhang Xinsheng, et al. A Manufacturing Factory Management System Based on Digital Twin Platform. Group Technology and Production Modernization, 2018, 35 (1): 20-26.
[2] Zhang Xinsheng. Design and Implementation of Workshop Management and Control System Based on Digital Twin. Zhengzhou: Zhengzhou University, 2018.
[3] Xie Jihui, Bai Xiaoyin, Chen Bin, et al. A Survey on Enterprise Service Bus. Computer Science. 2007, 34 (11): 13-18.
[4] Luo Hengyu, Liu Deqing. Model Based Digital Manufacturing Engineering. Digital Manufacturing Industry. 2014 (9): 70-73.

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