Skip to main content

Advertisement

SpringerLink
Log in

Train the trainers in industry 4.0: a model for the development of competencies in non-synchronous environments

  • Original Paper
  • Published:
International Journal on Interactive Design and Manufacturing (IJIDeM) Aims and scope Submit manuscript

Abstract

Manufacturing is a critical component of the economy of industrialized nations. Training of the workforce is vital for the survival and competitiveness of manufacturing. New paradigms are needed to satisfy the demand for knowledge workers in this field. This paper presents the development of a training program for teachers who are trainers of competencies for Industry 4.0. Given the pace of technological change, the challenge was to reach the highest number of individuals in the shortest possible time. The program was divided into three stages. In the first one, conception stage, professors from different Tecnologico de Monterrey (Tec) campuses were selected to take an Industry 4.0 course that was adapted from existing courses at RWTH Aachen. In the second stage, training, the Tec teachers designed a course for other instructors that was adapted to the conditions in Mexico. In the third stage, replication, two more groups of professors were trained. To facilitate dissemination, we created a series of videos to facilitate non synchronous learning. The course was delivered using CANVAS. A laboratory session complemented the activities, and participants developed a project as part of their course work. This work describes the design and implementation of the program. In all, this program has helped 68 professors develop competencies related to the needs of Industry 4.0. Results of surveys show that participants felt that the program helped them develop competences that were later introduced in classes and projects.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

References

  1. Lasi, H., Fetkke, P., Feld, T., Hoffmann, M.: Industry 4.0. Bus. Inf. Syst. Eng. 6, 239–242 (2014)

    Article  Google Scholar 

  2. Cadorin, L., Suter, N., Dante, A., Williamson, S.N., Devetti, A., Palese, A.: Self-directed learning competence assessment within different healthcare professionals and amongst students in Italy. Nurse Educ. Pract. 12, 153–158 (2012). https://doi.org/10.1016/j.nepr.2011.10.013

    Article  Google Scholar 

  3. Downey, G.L., Lucena, J.C.: National identities in multinational worlds: engineers and “engineering cultures.” Int. J. Contin. Eng. Educ. Life-Long Learn. 15, 252–260 (2005). https://doi.org/10.1504/ijceell.2005.007714

    Article  Google Scholar 

  4. Muench, S.T.: Self-managed learning model for civil engineering continuing training. J. Prof. Issues Eng. Educ. Pract. 132, 209–216 (2006). https://doi.org/10.1061/(ASCE)1052-3928(2006)132:3(209)

    Article  Google Scholar 

  5. Dobrilovic, D., Brtka, V., Stojanov, Z., Jotanovic, G., Perakovic, D., Jausevac, G.: A model for working environment monitoring in smart manufacturing. Appl. Sci. 11, 2850 (2021). https://doi.org/10.3390/app11062850

    Article  Google Scholar 

  6. Wang, S., Jiang, L., Meng, J., et al.: Training for smart manufacturing using a mobile robot-based production line. Front. Mech. Eng. 16, 249–270 (2021). https://doi.org/10.1007/s11465-020-0625-z

    Article  Google Scholar 

  7. Kovalenko, I., Balta, E.C., Qamsane, Y., Koman, P.D., Zhu, X., Lin, Y., Tilbury, D.M., Morley Mao, Z., Barton, K.: Developing the workforce for next-generation smart manufacturing systems: a multidisciplinary research team approach. Smart Sustain. Manuf. Syst. 5(2), 4–24 (2021). https://doi.org/10.1520/SSMS20200009

    Article  Google Scholar 

  8. Arreola, M.: Reúne taller de consorcio automotriz a investigadores internacionales, (2017) Conecta. https://conecta.itesm.mx/Paginas/noticia.aspx?idNoticia=3144

  9. Coşkun, S., Kayıkcı, Y., Gençay, E.: Adapting Engineering Education to Industry 4.0 Vision. Technologies. 7, 10 (2019). https://doi.org/10.3390/technologies7010010

  10. Kim, J.: Are countries ready for the new meso revolution? Testing the waters for new industrial change in Korea. Technol. Forecast. Soc. Change. 132, 34–39 (2018). https://doi.org/10.1016/j.techfore.2017.11.006

    Article  Google Scholar 

  11. Kamble, S.S., Gunasekaran, A., Sharma, R.: Analysis of the driving and dependence power of barriers to adopt industry 4.0 in Indian manufacturing industry. Comput. Ind. 101, 107–119 (2018). https://doi.org/10.1016/j.compind.2018.06.004

    Article  Google Scholar 

  12. Coşkun, S., Kayıkcı, Y., Gençay, E.: Adapting engineering education to industry 4.0 vision. Technologies 7, 10 (2019). https://doi.org/10.3390/technologies7010010

    Article  Google Scholar 

  13. Szalavetz, A.: Industry 4.0 and capability development in manufacturing subsidiaries. Technol. Forecast. Soc. Chang. 145, 384–395 (2019). https://doi.org/10.1016/j.techfore.2018.06.027

    Article  Google Scholar 

  14. Wagner, U., AlGeddawy, T., ElMaraghy, H., Müller, E.: The state-of-the-art and prospects of learning factories. Procedia CIRP. 3, 109–114 (2012). https://doi.org/10.1016/j.procir.2012.07.020

    Article  Google Scholar 

  15. Abele, E., Chryssolouris, G., Sihn, W., Metternich, J., ElMaraghy, H., Seliger, G., Sivard, G., ElMaraghy, W., Hummel, V., Tisch, M., Seifermann, S.: Learning factories for future oriented research and education in manufacturing. CIRP Ann. Manuf. Technol. 66, 803–826 (2017). https://doi.org/10.1016/j.cirp.2017.05.005

    Article  Google Scholar 

  16. Baena, F., Guarin, A., Mora, J., Sauza, J., Retat, S.: Learning factory: the path to industry 4.0. Procedia Manuf. 9, 73–80 (2017). https://doi.org/10.1016/j.promfg.2017.04.022

    Article  Google Scholar 

  17. Simons, S., Abé, P., Neser, S.: Learning in the AutFab—the fully automated industrie 4.0 learning factory of the university of applied sciences Darmstadt. Procedia Manuf. 9, 81–88 (2017). https://doi.org/10.1016/j.promfg.2017.04.023

    Article  Google Scholar 

  18. Merkel, L., Atug, J., Merhar, L., Schultz, C., Braunreuther, S., Reinhart, G.: Teaching smart production: an insight into the learning factory for cyber-physical production systems (LVP). Procedia Manuf. 9, 269–274 (2017). https://doi.org/10.1016/j.promfg.2017.04.034

    Article  Google Scholar 

  19. Zezulka, F., Marcon, P., Vesely, I., Sajdl, O.: Industry 4.0—an introduction in the phenomenon. IFAC-PapersOnLine. 49, 8–12 (2016). https://doi.org/10.1016/j.ifacol.2016.12.002

    Article  Google Scholar 

  20. Grzybowska, K., Łupicka, A.: Key competencies for Industry 4.0. Econ. Manag. Innov. 1, 250–253 (2017). https://doi.org/10.26480/icemi.01.2017.250.253

    Article  Google Scholar 

  21. Prifti, L., Knigge, M., Kienegger, H., Krcmar, H.: A Competency Model for “Industrie 4.0” Employees. In: 13th International Conferenceon Wirtschaftsinformatik. 46–60 (2017)

  22. Hecklau, F., Galeitzke, M., Flachs, S., Kohl, H.: Holistic approach for human resource management in industry 4.0. Procedia CIRP. 54, 1–6 (2016). https://doi.org/10.1016/j.procir.2016.05.102

    Article  Google Scholar 

  23. Chryssolouris, G., Mavrikios, D., Mourtzis, D.: Manufacturing systems: skills and competencies for the future. Procedia CIRP. 7, 17–24 (2013). https://doi.org/10.1016/j.procir.2013.05.004

    Article  Google Scholar 

  24. Chryssolouris, G., Mavrikios, D., Rentzos, L.: The teaching factory: a manufacturing education paradigm. Procedia CIRP. 57, 44–48 (2016). https://doi.org/10.1016/j.procir.2016.11.009

    Article  Google Scholar 

  25. Bikas, H., Johansson, P. E. C., Di Falco, R., Stavridis, J., Niemi, E., Azpilgain, Z., Fumagalli, L., Thiede, B., Stavropoulos, P.: A teaching factory knowledge exchange network. In: Proceedings of the Conference on Learning Factories (CLF) (2021). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3859260#

  26. Brawner, C., Felder, R., Allen, R., Brent, R.: A survey of faculty teaching practices and involvement in faculty development activities. J. Eng. Edu. 91(4), 393–396 (2002)

    Article  Google Scholar 

  27. Huerta, M.V., Carberry, A.R., Pipe, T., McKenna, A.F.: Inner engineering: evaluating the utility of mindfulness training to cultivate intrapersonal and interpersonal competencies among first-year engineering students. J. Eng. Educ. 110(3), 636–670 (2021). https://doi.org/10.1002/jee.20407

    Article  Google Scholar 

  28. Jesiek, B.K., Woo, S.E., Parrigon, S., Porter, C.M.: Development of a situational judgment test for global engineering competency. J Eng Educ. 109, 470–490 (2020). https://doi.org/10.1002/jee.20325

    Article  Google Scholar 

  29. Rogers, S.W., Goktas, R.K.: Exploring engineering graduate student research proficiency with student surveys. J. Eng. Educ. 99, 263–278 (2010). https://doi.org/10.1002/j.2168-9830.2010.tb01061.x

    Article  Google Scholar 

  30. Erol, S., Jäger, A., Hold, P., Ott, K., Sihn, W.: Tangible industry 4.0: a scenario-based approach to learning for the future of production. Procedia CIRP. 54, 13–18 (2016). https://doi.org/10.1016/j.procir.2016.03.162

    Article  Google Scholar 

  31. Faller, C., Feldmúller, D.: Industry 4.0 learning factory for regional SMEs. Procedia CIRP. 32, 88–91 (2015). https://doi.org/10.1016/j.procir.2015.02.117

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Tecnologico de Monterrey, Ave. Eugenio Garza Sada 2501, 64849, Monterrey, NL, Mexico

    Horacio Ahuett-Garza, Pedro Daniel Urbina Coronado, Julio Noriega Velasco & Enrique Díaz de León López

  2. Rheinisch Westfälische Technische Hochschule (RWTH) Aachen University, 52056, Aachen, Germany

    Bernd Markert

  3. Georgia Institute of Technology, 771 Ferst Drive NW, Atlanta, GA, 30332-0405, USA

    Thomas R. Kurfess

Authors
  1. Horacio Ahuett-Garza
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Pedro Daniel Urbina Coronado
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Julio Noriega Velasco
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Enrique Díaz de León López
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Bernd Markert
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Thomas R. Kurfess
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Horacio Ahuett-Garza.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ahuett-Garza, H., Urbina Coronado, P.D., Noriega Velasco, J. et al. Train the trainers in industry 4.0: a model for the development of competencies in non-synchronous environments. Int J Interact Des Manuf 16, 775–789 (2022). https://doi.org/10.1007/s12008-022-00901-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12008-022-00901-5

Keywords

Search

Navigation