TEACHING INDUSTRY 4.0
DOI:
https://doi.org/10.17770/sie2020vol2.4833Keywords:
industry 4.0, mechatronics curriculum, mechatronics education, machine learning, smart factoriesAbstract
Industry 4.0 is a term that was introduced by the German government at the time of the Hannover Fair in 2011 in relation to an initiative brought forward to support German industry in addressing future challenges. It refers to the 4th industrial revolution, in which disruptive digital technologies, such as the Internet of Things (IoT), robotics, virtual reality (VR), and artificial intelligence (AI), are exercising a notable impact on industrial production.
Industry 4.0 takes the emphasis on digital technology of recent decades to a whole new level with the help of interconnectivity through the Internet of Things (IoT), real-time data access, and the introduction of cyber-physical systems.
This paper focuses on the design of an educational module for higher education mechatronics students. Introducing Industry 4.0 into a mechatronics curriculum will reinforce the integration of student competences in flexible and rapid manufacturing. The module includes notions of machine learning and deep machine learning, which are essential in robotics and behavioral robotics and closely interact with control theory. The results of a pilot training activity in the field are also illustrated and discussed.
References
European Commission (2018). Pillars of the Digitising European Industry Initiative. Retrieved from
https://ec.europa.eu/digital-single-market/en/pillars-digitising-european-industry-initiative
Glas, A.H. & Kleemann, F.C. (2016). The impact of industry 4.0 on procurement and supply management: A conceptual and qualitative analysis. International Journal of Business and Management Invention, 5(6), 55-66.
Herman, M., Pentek, T., & Otto, B. (2016). Design Principles for Industries 4.0 Scenarios. In Proceedings of the 49th Annual Hawaii International Conference on System Sciences HICSS2016, 154-160.
Hopkinson, N., Hague, R.J.M., & Dickens, P.M. (2006). Rapid manufacturing. An Industrial Revolution for the Digital Age. Chichester, England: John Wiley & Sons, Ltd.
Lasi, H., Fettke, P., Kemper, H.G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & information systems engineering, 6(4), 239-242.
McFarlane, D. (1998). Modular distributed manufacturing systems and the implications for integrated control. In Proceedings of IEE Colloquium on Choosing the Right Control Structure for Your Process, March 1998. Retrieved from https://pdfs.semanticscholar.org/0b77/6e0aa6594b4991bd60f56700ae52cd59564e.pdf
Qian, F., Zhong, W., & Du, W. (2017). Fundamental theories and key technologies for smart and optimal manufacturing in the process industry. Engineering, 3(2), 154-160.
Qin, J., Liu, Y., & Grosvenor, R. (2016). A categorical framework of manufacturing for industry 4.0 and beyond. Procedia Cirp, 52, 173-178.
Sousa, M.J., Cruz, R., Rocha, Á., & Sousa, M. (2019, April). Innovation Trends for Smart Factories: A Literature Review. World Conference on Information Systems and Technologies, 689-698.
Tjahjono, B., Esplugues, C., Ares, E., & Pelaez, G. (2017). What does industry 4.0 mean to the supply chain? Procedia Manufacturing, 13, 1175-1182.
Downloads
Published
Issue
Section
How to Cite
