Exploration of Talent Cultivation System and Practical Model for Simulation and Optimization of Intelligent Manufacturing System

Authors

• Xinyu Li, School of Mechanical Science & Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; The National Research Institute for Teaching Materials (Research on Higher Education Teaching Materials for Intelligent Manufacturing and Robotics), Huazhong University of Science and Technology, Wuhan 430074, China
• Zheng Duan, Office of Student Affairs, Huazhong University of Science and Technology, Wuhan 430074, China
• Liang Gao, School of Mechanical Science & Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; The National Research Institute for Teaching Materials (Research on Higher Education Teaching Materials for Intelligent Manufacturing and Robotics), Huazhong University of Science and Technology, Wuhan 430074, China
• Chunjiang Zhang, School of Mechanical Science & Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; The National Research Institute for Teaching Materials (Research on Higher Education Teaching Materials for Intelligent Manufacturing and Robotics), Huazhong University of Science and Technology, Wuhan 430074, China
• Peigen Li, School of Mechanical Science & Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; The National Research Institute for Teaching Materials (Research on Higher Education Teaching Materials for Intelligent Manufacturing and Robotics), Huazhong University of Science and Technology, Wuhan 430074, China

Abstract

To address problems such as the insufficient integration of science and education in the talent cultivation system for traditional manufacturing system simulation and optimization, the insufficient integration of industry and education in cultivation goals and approaches, and the lack of full-chain industrial-level practical cultivation means, a "1223" reform scheme for innovative talent cultivation in the intelligent manufacturing system was formed. Research and practice were carried out focusing on the talent cultivation system, cultivation approaches, and practical cultivation resources for the simulation and optimization of the intelligent manufacturing system. Significant outcomes were achieved in aspects of innovative talent cultivation, faculty and textbook construction, engineering application, professional platforms, and discipline construction. It provides a referable theoretical framework and practical paradigm for high-quality innovative talent cultivation in the field of simulation and optimization of intelligent manufacturing systems.

Recommended Citation

Li, Xinyu; Duan, Zheng; Gao, Liang; Zhang, Chunjiang; and Li, Peigen (2026) "Exploration of Talent Cultivation System and Practical Model for Simulation and Optimization of Intelligent Manufacturing System," Journal of System Simulation: Vol. 38: Iss. 6, Article 3.
DOI: 10.16182/j.issn1004731x.joss.26-0067
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss6/3

First Page

1501

Last Page

1508

CLC

G642; TP315

Recommended Citation

Li Xinyu, Duan Zheng, Gao Liang, et al. Exploration of Talent Cultivation System and Practical Model for Simulation and Optimization of Intelligent Manufacturing System[J]. Journal of System Simulation, 2026, 38(6): 1501-1508.

Corresponding Author

Zhang Chunjiang

DOI

10.16182/j.issn1004731x.joss.26-0067