RESEARCH ON THE EVALUATION SYSTEM FOR TRAINING FIELD ENGINEERS IN THE MANUFACTURING INDUSTRY OF VOCATIONAL EDUCATION UNDER THE BACKGROUND OF NEW INDUSTRIALIZATION

Authors

  • Haibo Yi Shenzhen Polytechnic University, Shenzhen, China
  • Hao Meng China Academy of Industrial Internet, Beijing, China
  • Li Cao Ministry of Industry and Information Technology Education and Examination Center, Beijing, China
  • Qiang Fu Shenzhen Polytechnic University, Shenzhen, China

DOI:

https://doi.org/10.29121/ijetmr.v11.i6.2024.1470

Keywords:

On Site Engineer, New Industrialization, Evaluation System, Vocational Education, Manufacturing Industry

Abstract

In the process of promoting new industrialization, it is particularly crucial to build a high-level team of engineers. Although China has established the world's largest engineering education system, it still faces a talent gap of over 20 million, especially the scarcity of high-quality technical and skilled engineers, which has become a bottleneck restricting the sustainable development of China's industry. In this context, the on-site engineer special training program has emerged, with the first phase focusing on the advanced manufacturing industry, aiming to jointly cultivate at least 200000 on-site engineers through deep cooperation between vocational colleges and enterprises. In view of this, this article starts from the demand for talents in the manufacturing industry in China's new industrialization process, and deeply analyzes the problems and shortcomings of the current evaluation system for engineer training. On this basis, we actively explored and constructed a training and evaluation system and implementation path for vocational undergraduate on-site engineers in the manufacturing field, aiming to provide solid talent support for the transformation and upgrading of China's manufacturing industry towards high-end, digital, intelligent, and green directions, and also provide strong theoretical support for building a high-level engineering team for new industrialization.

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References

Braglia, M., Paco, F. D., Frosolini, M., Gabbrielli, R., & Marrazzini, L. (2024). Exploring the Relationship Between Project Cost Deployment and Industry 4.0 through an Industrial Application in an Engineer-to-Order Environment.Procedia Computer Science, 232, 139-148. https://doi.org/10.1016/j.procs.2024.01.014

Brown, D. A. (2022). Enhancing Graduate, Undergraduate, and Vocational School Education with Research and Development Internships and Capstone Projects. The Journal of the Acoustical Society of America, 151(4), A114-A114. https://doi.org/10.1121/10.0010825

Djuniardi, D., Jumantini, E., & Jamhari, A. (2022). Trading Volume, Earnings Per Share and Stock Returns and their Impact on Bid-Ask Spreads on Manufacturing Industry Sector Stocks Listed on the Indonesia Stock Exchange 2015-2018. JPPI (Jurnal Penelitian Pendidikan Indonesia). https://doi.org/10.29210/020221467

Donovan, R. P., Kim, Y. G., Manzo, A., Ren, Y., Bian, S., Wu, T., Purawat, S., Helvajian, H., Wheaton, M., Li, B., Li, G.-P. (2022). Smart Connected Worker Edge Platform for Smart Manufacturing: Part 2-Implementation and On-Site Deployment Case Study.Journal of Advanced Manufacturing and Processing. https://doi.org/10.1002/amp2.10130

Kahyarara, G. W., & Teal, F. (2022). General or Vocational Education? Evidences from the Returns to Education in Tanzanian Manufacturing Firms.

Kang, K., Liu, X., Jiang, Y., Ken, Lee, K. H., Wan, S. K. W., Huang, G. Q., & Zhong. R. Y. (2023). Blockchain Opportunities for Construction Industry in Hong Kong: A Case Study of RISC and Site Diary. Construction Innovation, 23(2), 443-466. https://doi.org/10.1108/CI-08-2021-0153

Kuang, Y., & Li, Z. (2022). Personal Value Orientation, Expectation Confirmation and Choice Behavior: A Perspective of Sustainable Higher Vocational Development.International Journal of Sustainable Development and Planning: Encouraging the Unified Approach to Achieve Sustainability. https://doi.org/10.18280/ijsdp.170727

Lampon, J. F., & Rivo-Lopez, E. (2022). The Effect of the Industry Technology Intensity on the Drivers of Manufacturing Backshoring. Journal of Manufacturing Technology Management, (1), 33. https://doi.org/10.1108/JMTM-03-2021-0071

Mao, W., Sun, H., Wang, W., & Luo, D. (2024). Factor Reallocation Path for Low-Carbon Transformation: A Perspective of Manufacturing Industry Ecosystem. Energy Economics, 134. https://doi.org/10.1016/j.eneco.2024.107620

Mostow, N., & Wohlers, T. (2022). Additive Manufacturing: State of the Industry. Manufacturing Engineering, (4), 168.

Paek, K. J. (2023). A Survey on the Needs of the Garment Manufacturing Industry in Busan for the Development of Fashion Major Education Program. The Research Journal of the Costume Culture. https://doi.org/10.29049/rjcc.2023.31.2.213

Ramos-Maldonado, M., & Aguilera-Carrasco, C. (2022). Trends and Opportunities of Industry 4.0 in Wood Manufacturing Processes. Chapters. https://doi.org/10.5772/intechopen.99581

Sarbu, M. (2022). The Impact of Industry 4.0 on Innovation Performance: Insights from German Manufacturing and Service Firms. Technovation: The International Journal of Technological Innovation, Entrepreneurship and Technology Management, 113. https://doi.org/10.1016/j.technovation.2021.102415

Teixeira, J. E., & Tavares-Lehmann, A. T. (2023). Industry 4.0: The Future of Manufacturing from the Perspective of Business and Economics - A Bibliometric Literature Review. Competitiveness Review: An International Business Journal, 33(2), 458-482. https://doi.org/10.1108/CR-07-2022-0091

Wang, B., Zheng, L., Wang, Y., Fang, W., & Wang, L. (2024). Towards the Industry 5.0 Frontier: Review and Prospect of XR in Product Assembly. Journal of Manufacturing Systems, 74, 777-811. https://doi.org/10.1016/j.jmsy.2024.05.002

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Published

2024-06-21

How to Cite

Yi, H., Meng, H., Cao, L., & Fu, Q. (2024). RESEARCH ON THE EVALUATION SYSTEM FOR TRAINING FIELD ENGINEERS IN THE MANUFACTURING INDUSTRY OF VOCATIONAL EDUCATION UNDER THE BACKGROUND OF NEW INDUSTRIALIZATION. International Journal of Engineering Technologies and Management Research, 11(6), 34–43. https://doi.org/10.29121/ijetmr.v11.i6.2024.1470