Skip to main content

Integration of Business and Education in the Training of Engineers for Industry 4.0

  • Conference paper
  • First Online:
Artificial Intelligence and Online Engineering (REV 2022)

Abstract

The fourth industrial revolution (Industry 4.0 - IR 4.0) led to a paradigm shift and changes in production and related processes, increased requirements for the competence of engineers, and therefore the business is experiencing difficulties in recruiting. Dynamic changes in the field of engineering and technology have radically changed the requirements for the engineering education system, since its inertia does not allow satisfying the needs of business for personnel with creative thinking, eco-consciousness and skills to work in the context of digital transformation. At the same time, there is a decline in interest in the profession of an engineer in the world. All this requires a paradigm shift and an increase in the sustainability of the engineering education system in a dynamically changing environment, the goal of which will be to prepare an engineer “for the future”, that will meet the real needs of the business. The internationalization and digitalization of the economy and new work functions make digital competencies critical. At the same time, new and promising technologies should be adapted and included in the educational process in order to facilitate the adaptation of university graduates in production. The purpose of the article is to consider topical issues of engineering education related to interdisciplinarity, new standards and technologies for engineering education, digital educational environment and online technologies, the interaction of engineering education with high-tech business and industry.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Buyvol P, Makarova I, Sizikin V, Badriev A (2020) The service center simulation model as a part of a reverse logistics system. In: Proceedings of the international conference on developments in esystems engineering, DeSE, pp105–110

    Google Scholar 

  2. Makarova I, Shubenkova K, Buyvol P, Shepelev V, Gritsenko A (2021) The role of reverse logistics in the transition to a circular economy: case study of automotive spare parts logistics. FME Trans 49(1):173–185

    Article  Google Scholar 

  3. Gabsalikhova L, et al (2020) Connected vehicles fleet expanding problems. In: Proceedings of the 6th international conference on vehicle technology and intelligent transport systems, VEHITS 2020, pp 642–650

    Google Scholar 

  4. Makarova I, Shepelev V, Mukhametdinov E, Pashkevich A (2020) Changing the maintenance and repair system while expanding the connected vehicles fleet. In: Proceedings of the 6th international conference on vehicle technology and intelligent transport systems, VEHITS 2020, pp 622–633

    Google Scholar 

  5. Ostroukh A, Karelina M, Filippova N, Marusin A, Evtyukov S (2021) Intelligent system for digital substation control. Transp Res Procedia 57:385–391

    Article  Google Scholar 

  6. Galkin A, Popova Y, Chuprina E, Shapovalenko D (2019) Interaction of logistics 4.0 and consumer oriented marketing using ICT. In: Proceedings of the 33rd international business information management association conference, IBIMA 2019: education excellence and innovation management through vision 2020, pp 6751–6760

    Google Scholar 

  7. Vakulenko K et al (2019) Designing optimal public bus route networks in a suburban area. Transp Res Procedia 39:554–564

    Article  Google Scholar 

  8. Popova I, Abdullina E, Danilov I, Ruchkina I, Shemyakin A (2021) Application of the RFID technology in logistics. Transp Res Procedia 57:452–462

    Article  Google Scholar 

  9. Markov K, Vitliemov P (2020) Logistics 4.0 and supply chain 4.0 in the automotive industry. IOP Conf Ser Mater Sci Eng 878:012047

    Article  Google Scholar 

  10. Barreto L, Amaral A, Pereira T (2017) Industry 4.0 implications in logistics: an overview. Procedia Manuf 13:1245–1252

    Article  Google Scholar 

  11. Cimini C, Lagorio A, Pirola F, Pinto R (2019) Exploring human factors in Logistics 4.0: empirical evidence from a case study. IFAC-PapersOnLine 52(13):2183–2188

    Article  Google Scholar 

  12. Maslarić M, Nikoličić S, Mirčetić D (2016) Logistics response to the industry 4.0: the physical internet. Open Eng 6:511–517

    Article  Google Scholar 

  13. Sapper S, Kohl M, Fottner J (2021) Future competency requirements in logistics due to industry 4.0: a systematic literature review. In: 2021 10th international conference on industrial technology and management (ICITM), pp 94–105

    Google Scholar 

  14. Ikram B, Chahinaze FB, Naoufal S, Hamid A (2020) Competencies assessment approach based on multiple criteria decision making. In: 2020 IEEE 13th international colloquium of logistics and supply chain management (LOGISTIQUA), pp 1–9

    Google Scholar 

  15. Asawarungsaengkul K, Laoraksakiat W (2019) Optimization approach to multi-objective person-job fit job assignment problem. In: 2019 research, invention, and innovation congress (RI2C), pp 1–6

    Google Scholar 

  16. Benbrahim CF, Jaber E, Hajira B, Cheikhrouhou N, Sefiani N, Reklaoui K (2018) Towards an ontological approach to company compenteces management. In: 2018 international colloquium on logistics and supply chain management, pp 57–62

    Google Scholar 

  17. Ahn Y, McLean GN (2008) Competencies for port and logistics personnel: an application of regional human resource development. Asia Pacific Educ Rev 9:542–551

    Article  Google Scholar 

  18. Kohl M, Heimeldinger C, Brieke M, Fottner J (2020) Competency model for logistics employees in smart factories. In: Karwowski W, Trzcielinski S, Mrugalska B (eds) AHFE 2019, vol 971. AISC. Springer, Cham, pp 133–145. https://doi.org/10.1007/978-3-030-20494-5_13

    Chapter  Google Scholar 

  19. Niine T, Koppel O (2015) Logistics systems engineer – interdisciplinary competence model for modern education. Int J Eng Pedagogy (iJEP) 5(2):54

    Article  Google Scholar 

  20. Bielefeldt AR (2018) Engineering student interest in future work abroad. In: 2018 IEEE frontiers in education conference (FIE), pp 1–5

    Google Scholar 

  21. Salinas-Navarro DE, Garay-Rondero CL (2020) Requirements of challenge based learning for experiential learning spaces, an industrial engineering application case. In: 2020 IEEE international conference on teaching, assessment, and learning for engineering, pp 1–8

    Google Scholar 

  22. Gomes GD et al (2018) Competencies and performance of engineering professors: evidence from a Brazilian public university. Ingeniería e Investigación 38(3):33–41

    Article  Google Scholar 

  23. Terrón-López M-J et al (2020) Preparing sustainable engineers: a project-based learning experience in logistics with refugee camps. Sustainability 12(12):4817

    Article  Google Scholar 

  24. Arifin M, Widowati, Farikhin, Wibowo A, Warsito B (2021) Comparative analysis on educational data mining algorithm to predict academic performance. In: 2021 international seminar on application for technology of information and communication (iSemantic), pp 173–178

    Google Scholar 

  25. Makarova I, Shubenkova K, Buyvol P, Mavrin V, Mukhametdinov E (2018) Interaction between education and business in digital era. In: 2018 IEEE industrial cyber-physical systems (ICPS), pp 503–508

    Google Scholar 

  26. Makarova I, Shubenkova K, Tikhonov D, Pashkevich A (2017) An integrated platform for blended learning in engineering education. In: Proceedings of the 9th international conference on computer supported education, vol 2, pp 171–176

    Google Scholar 

  27. Makarova I, Pashkevich A, Shubenkova K (2018) Blended learning technologies in the automotive industry specialists’ training. In: 2018 32nd international conference on advanced information networking and applications workshops, pp 319–324

    Google Scholar 

  28. Makarova I, Shubenkova K, Antov D, Pashkevich A (2019) Digitalization of engineering education: from e-learning to smart education. In: Auer ME, Langmann R (eds) REV 2018, vol 47. LNNS. Springer, Cham, pp 32–41. https://doi.org/10.1007/978-3-319-95678-7_4

    Chapter  Google Scholar 

  29. Makarova I, Shubenkova K, Bagateeva A, Pashkevich A (2018) Digitalization of education as a new destination of e-learning. In: 2018 international symposium ELMAR, pp 31–34

    Google Scholar 

  30. Ribón JCR, Villalba LJG, Kim T-H (2013) Virtual learning communities: unsolved troubles. Multimedia Tools Appl 74(19):8505–8519

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Irina Makarova .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Makarova, I., Buyvol, P., Mukhametdinov, E., Mavrin, V. (2023). Integration of Business and Education in the Training of Engineers for Industry 4.0. In: Auer, M.E., El-Seoud, S.A., Karam, O.H. (eds) Artificial Intelligence and Online Engineering. REV 2022. Lecture Notes in Networks and Systems, vol 524. Springer, Cham. https://doi.org/10.1007/978-3-031-17091-1_33

Download citation

Publish with us

Policies and ethics