Intelligent Manufacturing Revolution: Innovation Practices of High-Skilled Talents in the Digital Transformation Era
Download PDF
$currentUrl="http://$_SERVER[HTTP_HOST]$_SERVER[REQUEST_URI]"

Keywords

Intelligent manufacturing
Talent dilemma
Skill innovation
Industrial upgrading

DOI

10.26689/jcer.v9i7.11367

Submitted : 2025-07-01
Accepted : 2025-07-16
Published : 2025-07-31

Abstract

The global manufacturing industry is accelerating its digital transformation, while China’s intelligent manufacturing faces structural reshaping of high-skilled talents and innovation challenges. Through extensive research, this study analyzes and summarizes specific directions for talent demand and development pathways under intelligent manufacturing, while profoundly revealing the practical dilemmas encountered by China’s skilled workforce in innovation practices. The research indicates that digital transformation essentially constitutes knowledge system reconstruction, requiring the establishment of collaborative mechanisms integrating technological convergence, institutional innovation, and cultural incentives to promote systematic industrial upgrading in manufacturing.

References

McKinsey & Company. (2023). Global Industrial Digitalization Survey 2023. New York.

Xue Jie; Li Zhenyan; Wang Xian; Ji Yanli. Dynamic Evaluation and Spatial Characteristics of Smart Manufacturing Capability in China[J]. Sustainability, 2022, 14(17): 10733-10733.

Ghobakhloo, M. (2020). Industry 4.0: Challenges to supply chain resilience. Production Planning & Control, 33(2-3), 1–20.

Karthikeyan S. and Nagamani G. Muni. An Architecture of Cyber-Physical System for Industry 4.0[M]. Springer Nature Singapore, 2024: 259-283.

Siemens AG. (2022). Digital factory case study: Amberg Electronics Plant. Munich.

Foivos Psarommatis and Gökan May. A Systematic Analysis for Mapping Product-Oriented and Process-Oriented Zero-Defect Manufacturing (ZDM) in the Industry 4.0 Era[J]. Sustainability, 2023, 15(16).

Francesco Chiti; Simone Morosi; Claudio Bartoli. An Integrated Software-Defined Networking–Network Function Virtualization Architecture for 5G RAN–Multi-Access Edge Computing Slice Management in the Internet of Industrial Things[J]. Computers, 2024, 13(9): 226-226.

Sany Group. (2023). Annual report on intelligent transformation. Changsha.

Tortorelli Andrea; Imran Muhammad; Delli Priscoli Francesco; Liberati Francesco. A Parallel Deep Reinforcement Learning Framework for Controlling Industrial Assembly Lines[J]. Electronics, 2022, 11(4): 539-539.

General Electric. (2024). AI-assisted aircraft engine assembly whitepaper. Boston.

World Economic Forum. (2020). The future of jobs report 2020. Geneva.

Deloitte & Manufacturing Institute. (2024). Skills gap analysis in global manufacturing. London.

MHRSS China. (2022). National skilled talent development report. Beijing.

Liu, Y., Chen, X., & Zhang, H. (2023). Hybrid manufacturing of satellite support structures: Integrating additive manufacturing and manual finishing. Acta Astronautica, 203, 364–375.

Fraunhofer Institute for Production Technology. (2022). Digitization of tacit process knowledge in precision manufacturing (Report No. IPT-2022-07). Aachen.

Li, L., & Wang, Y. (2023). Reshaping global manufacturing: The role of Industry 4.0 and geopolitical shifts. Journal of International Business Studies, 54(4), 589–605.