Research on the Reform of Industrial Engineering Talents Training Mode for Intelligent Manufacturing

DOI: https://doi.org/10.62517/jnse.202417406

Author(s)

Fuchun Xie

Affiliation(s)

School of Mechanical Engineering, Hunan Institute of Engineering, Xiangtan, Hunan, China

Abstract

Industrial Engineering, as a discipline of improvement and optimization, has been applied to many industries in China. In the context of the scientific and technological revolution and industrial upgrading in the intelligent era, the knowledge, abilities, and professional qualities of Industrial Engineering professionals are required to be changed accordingly, and the talent cultivation mode of this specialty will inevitably be reformed and optimized. Based on the knowledge map of the core courses of the major of Industrial Engineering, and the relationship between the curriculum theory and practical application, as well as the relationship between professional skills and practical operation, a set of dynamic courses with the definition of IE knowledge system as the core are formed. Relying on school-enterprise cooperation projects, the production and teaching digital intelligence cloud platform and production and teaching digital intelligence experiment practice platform for Industrial Engineering majors have been effectively developed. Through the cross integration of mechanical engineering, management science, and information science disciplines, the “intelligence+” talent training system for Industrial Engineering majors has been studied and formed. The “intelligent+” talent cultivation system for Industrial Engineering majors has been developed in this project, which can cultivate high-level composite innovative talents to solve complex engineering problems in multiple disciplines, effectively address the demand for talents in the emerging fields of intelligent management and intelligent manufacturing, and provide a new system and mode for the cultivation of composite talents in new engineering disciplines.

Keywords

Intelligent Manufacturing; Industrial Engineering; Talent Training Mode; Production and Teaching Data Cloud Platform

References

[1] Li BH, Chen ZN, Chai XD, etc Research on the Overall Development Strategy of the New “Internet plus” Action in the “Intelligent+” Era. China Engineering Science, 2020, 22 (4): 9. DOI: 10.15302/J-SSCAE-2020.04.001. [2] Ding C, Li JY. German “Industry 4.0”: Content, Motivation, Prospect and Enlightenment. German Research, 2014 (4): 18. [3] Zhou J. Intelligent manufacturing: the main direction of “Made in China 2025”. China Mechanical Engineering, 2015, 26 (17): 12. [4] Mao MF. Create a highland of scientific and technological innovation with core competitiveness —— Based on the perspective of regional innovation capacity building. Hunan Social Sciences, 2021 (1): 8. [5] Whitacre JM , Rohlfshagen P, Bender A, et al. Evolutionary mechanics: new engineering principles for the emergence of flexibility in a dynamic and uncertain world. Natural Computing, 2012. DOI:10.1007/s11047-011-9296-3. [6] Walter LF, Susan N. New Developments in Engineering Education for Sustainable Development 2016. World Sustainability, 2016.DOI:10.1007/978-3-319-32933-8. [7] Sege P, Matilda D, Udovít M. New Educational Strategy in Engineering Education – Case Study //13th IEEE International Conference on Emerging eLearning Technologies and Applications, ISBN 978-1-4673-8534-3.IEEE, 2015.DOI:10.1109/ICETA.2015.7558509. [8] Schuster K, Richert A, Jeschke S. New Perspectives for Engineering Education – About the Potential of Mixed Reality for Learning and Teaching Processes //Springer International Publishing. Springer International Publishing, 2016.DOI:10.1007/978-3-319-46916-4_37. [9] Cotton I, Barnes M. The Power Engineering Guide: A Mobile Application for Education and Wider Engagement. International Journal of Electrical Engineering Education, 2013.DOI:10.7227/ijeee.50.3.5. [10] Gou XS, Tang L, Liu XY, et al. Talent Training Mode under the Background of New Engineering--Take Chengdu University as an example. The Guide of Science & Education, 2019(1):17-18.