Intelligent Scheduling-Driven Co-Creation Manufacturing Closed-Loop Reform Oriented by Industry-Education Integration
DOI:
https://doi.org/10.70088/7ew5qv47Keywords:
industry-education integration, intelligent scheduling, university-enterprise collaboration, co-creation manufacturing, Teaching closed-loopAbstract
In the context of multidisciplinary integration, universities must bridge the gap between classroom teaching and industrial practice to achieve deep industry-education integration. Currently, university teaching faces issues such as misalignment of curriculum with industry needs and low efficiency in resource allocation. This paper proposes a closed-loop teaching reform model oriented by industry-education integration, built upon an intelligent course scheduling system for academic resources and a university-enterprise co-creation manufacturing platform. Through AI-driven smart scheduling to optimize on-campus course and resource allocation, and by introducing real enterprise projects into the teaching process, a closed-loop flow from classroom to practice and back is established. We detail the closed-loop teaching process and system architecture, which enable data-driven teaching optimization and collaborative innovation between universities and enterprises. This approach provides a new idea for talent training reform under a multidisciplinary background.References
D. Kong, "Research on the Talent Cultivation Model for Emerging Engineering Disciplines in Local Universities under the Context of Industry-Education Integration," 2024.
H. Etzkowitz, and L. Leydesdorff, "The dynamics of innovation: from National Systems and "Mode 2" to a Triple Helix of university-industry-government relations," Research policy, vol. 29, no. 2, pp. 109-123, 2000. doi: 10.1016/s0048-7333(99)00055-4
H. Kagermann, "Change through digitization-Value creation in the age of Industry 4," 0. In Management of permanent change (pp. 23-45). Wiesbaden: Springer Fachmedien Wiesbaden, 2014.
P. Llanos-Paredes, "The effect of applied research institutes on invention: Evidence from the Fraunhofer centres in Europe," Research Evaluation, vol. 32, no. 3, pp. 566-576, 2023. doi: 10.1093/reseval/rvad028
B. Beckmann, A. Giani, J. Carbone, P. Koudal, J. Salvo, and J. Barkley, "Developing the digital manufacturing commons: a national initiative for US manufacturing innovation," Procedia Manufacturing, vol. 5, pp. 182-194, 2016. doi: 10.1016/j.promfg.2016.08.017
H. Xu, C. Wang, K. Dong, R. Luo, Z. Yue, and H. Pang, "A Study of Methods to Identify Industry-University-Research Institution Cooperation Partners based on Innovation Chain Theory," J. Data Inf. Sci, vol. 3, no. 2, pp. 38-61, 2018. doi: 10.2478/jdis-2018-0008
D. Romaguera, J. Plender-Nabas, J. Matias, and L. Austero, "Development of a Web-based Course Timetabling System based on an Enhanced Genetic Algorithm," Procedia Computer Science, vol. 234, pp. 1714-1721, 2024. doi: 10.1016/j.procs.2024.03.177
M. K. Srivastava, and D. R. Gnyawali, "When do relational resources matter? Leveraging portfolio technological resources for breakthrough innovation," Academy of Management Journal, vol. 54, no. 4, pp. 797-810, 2011. doi: 10.5465/amj.2011.64870140
F. Naseer, R. Tariq, H. M. Alshahrani, N. Alruwais, and F. N. Al-Wesabi, "Project based learning framework integrating industry collaboration to enhance student future readiness in higher education," Scientific Reports, vol. 15, no. 1, p. 24985, 2025. doi: 10.1038/s41598-025-10385-4
R. Kong, H. He, and C. Liu, "Research on the Optimization Model of Intelligent Cooperation Platform for Industry-Education Integration Based on Intelligent Algorithm," In 2025 International Conference on Computers, Information Processing and Advanced Education (CIPAE), August, 2025, pp. 85-90. doi: 10.1109/cipae66821.2025.00020
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Tao Wang, Yumeng Yuan, Mingyuan Cheng, Fan Yang, Haojian Tan (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
