In the context of the new round of scientific and technological revolution and industrial transformation, intelligent manufacturing has become a key factor in global manufacturing competition. However, China is experiencing a severe shortage of talent in this field, particularly among those with interdisciplinary knowledge, outstanding engineering skills and disruptive innovative thinking. This paper aims to systematically explore the theoretical and practical pathways for cultivating such talent. Firstly, it analyses the key challenges currently faced in talent development with regard to knowledge structure, training models, industry-education integration, and evaluation mechanisms. Secondly, it elaborates on the urgency and strategic importance of cultivating such talent in three areas: national strategic security, industrial transformation and upgrading, and international technological competition. Building on this, the paper proposes a comprehensive talent cultivation framework comprising four pillars: 'Cultivation Mechanism-Experimental Teaching and Management System-Evaluation System-Safeguard Measures'. Notably, the paper innovatively proposes an experimental teaching and management system oriented towards deep industry-education integration. This system employs real industrial cases and implements whole-process refined management, serving as a key bridge connecting theory and industry. The system emphasises the 'Four Modernisations' goal for laboratory construction and the 'Whole-Process Refinement' model for teaching management, with the aim of substantially enhancing students' innovation and practical capabilities. The aim of this research is intended to provide a theoretical reference and practical guidance for deepening the reform of engineering education in China, as well as for the construction of a new talent cultivation paradigm that meets the future development needs of intelligent manufacturing.
Lei et al. (Tue,) studied this question.