The growing relevance of digitalization in production requires the enhancement of human skills and competences in the field of Information and Communication Technology (ICT). Higher education has to cope with this need by providing the necessary ICT skills to future industrial engineers, so that they have a good understanding of the complexity of industries in the 21st century. This paper presents the conceptual development and testing of a Virtual Learning Factory Toolkit (VLFT) that integrates digital tools used in production management with engineering education. The digital tools integrated into the VLFT can help students to exploit enabling technologies such as simulation and virtual reality in their manufacturing studies and practical projects with industrial companies. Moreover, digital tools were tested by using a structured workflow that consists of different learning activities related to manufacturing system configuration. Students practised the digital tools with the help of use cases in the form of joint learning labs, after which the students’ feedback was collected and analysed.
1. Terkaj, W. and Tolio T. The Italian flagship project: factories of the future. In Factories of the Future (Tolio, T., Copani, G. and Terkaj, W., eds). Springer, Cham, 2019, 3–35.
2. World Trade Organization (WTO). World Trade Statistical Review 2018.
3. Storrie, D. The future of manufacturing in Europe. Eurofound, 2019.
4. Kangru, T., Riives, J., Mahmood, K. and Otto, T. Suitability analysis of using industrial robots in manufacturing. Proc. Est. Acad. Sci., 2019, 68(4), 383–388.
5. Mahmood, K., Karaulova, T., Otto, T. and Shevtshenko, E. Development of cyber-physical production systems based on modelling technologies. Proc. Est. Acad. Sci., 2019, 68(4), 348–355.
6. Abele, E., Chryssolouris, G., Sihn, W., Metternich, J., ElMaraghy, H., Seliger, G. et al. Learning factories for future oriented research and education in manufacturing. CIRP Ann. Manuf. Technol., 2017, 66, 803–826.
7. Wagner, U., AlGeddawy, T., ElMaraghy, H. and Müller, E. The state-of-the-art and prospects of learning factories. Procedia CIRP, 2012, 3, 109–114.
8. Baena, F., Guarin, A., Mora, J., Sauza, J. and Retat, S. Learning factory: the path to Industry 4.0. 7th Conference on Learning Factories. Procedia Manuf., 2017, 9, 73–80.
9. Tvenge, N. and Ogorodnyk, O. Development of evaluation tools for learning factories in manufacturing education. 8th Conference on Learning Factories. Procedia Manuf., 2018, 23, 33–88.
10. Pokhrel, S. and Chhetri, R. A literature review on impact of COVID-19 pandemic on teaching and learning. High. Educ. Future, 2021, 8(1), 133–141.
11. Caggiano, A. and Teti, R. Digital factory technologies for robotic automation and enhanced manufacturing cell design. Cogent Eng., 2018, 5(1), 1–14.
12. Terkaj, W., Gaboardi, P., Trevisan, C., Tolio, T. and Urgo, M. A digital factory platform for the design of roll shop plants. CIRP J. Manuf. Sci. Technol., 2019, 26, 88–93.
13. Virtual Learning Factory Toolkit (VLFT). TalTech, 2020.
14. Urgo, M. and Terkaj, W. Formal modelling of release control policies as a plug-in for performance evaluation of manufacturing systems. CIRP Ann. Manuf. Technol., 2020, 69(1), 377–380.
15. Bertoli, M., Casale, G. and Serazzi, G. JMT: performance engineering tools for system modelling. ACM SIGMETRICS Perform. Evaluation Rev., 2009, 36(4), 10–15.
16. Terkaj, W. OntoGui: A graphical user interface for rapid instantiation of OWL ontologies. CEUR Workshop Proc., 2017, 2050.
17. Unity. Unity Technologies, 2021. https://unity.com
18. Virtual Learning Factory Toolkit. VEB.js., 2021.
20. Virtual Learning Factory Toolkit. GitBook, 2021. https:// virtualfactory.gitbook.io/virtual-learning-factory-toolkit
21. Spronken-Smith, R., Walker, R., Batchelor, J., O’Steen, B. and Angelo, T. Evaluating student perceptions of learning processes and intended learning outcomes under inquiry approaches. Assess. Eval. Higher Educ., 2012, 37(1), 57–72.