Human Factor in Maintenance Management

  • Paulina Krason
  • Anna MaczewskaEmail author
  • Aleksandra Polak-Sopinska
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 793)


Industry 4.0 poses new challenges in the approach to maintenance management. Large amounts of data and information must be properly interpreted and analyzed in a short period of time. Mastering complex maintenance system requires employees to have extensive specialist knowledge. In the fourth industrial revolution the dominant role is played by shaping the human-machine interface. Currently, maintenance employees make decisions based on their previous experience, while in the future decisions will be made with computer support. It is only in practice that what kind of human interference will dominate. The question is whether employees operating automated systems, they will be able to gain the knowledge needed to predict emergency situations and solve problems? The article presents potential challenges and competences for the employees of maintenance in Industry 4.0 and prospects of trainings raising professional qualifications.


Human factors Industry 4.0 Maintenance management Maintenance staff Human-machine-interaction Learning factory 


  1. 1.
    Prinz, C., Morlock, F., Freith, S., Kreggenfeld, N., Kreimeier, D., Kuhlenkötter, B.: Learning factory modules for smart factories in Industrie 4.0. Procedia CIRP 54, 113–118 (2016)Google Scholar
  2. 2.
    Lu, Y.: Industry 4.0: a survey on technologies, applications and open research issues. J. Ind. Inf. Integr. 6, 1–10 (2017)Google Scholar
  3. 3.
    Wisniewski, Z., Blaszczyk, A.: Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future, vol. 606 (2018)Google Scholar
  4. 4.
    Pentek, M.: Design Principles for Industrie 4.0 Scenarios: A Literature Review (2015)Google Scholar
  5. 5.
    Bunse, B.: Industrie 4.0 - smart manufacturing for the future. GTIA - Ger. Trade Invest. 40, 12–23 (2013)Google Scholar
  6. 6.
    Zezulka, F., Marcon, P., Vesely, I., Sajdl, O.: Industry 4.0 – an introduction in the phenomenon. IFAC-PapersOnLine 49, 8–12 (2016)Google Scholar
  7. 7.
    Chiu, Y.C., Cheng, F.T., Huang, H.C.: Developing a factory-wide intelligent predictive maintenance system based on Industry 4.0. J. Chin. Inst. Eng. Trans. Chin. Inst. Eng. A/Chung-kuo K. Ch’eng Hsuch K’an. 40, 562–571 (2017)Google Scholar
  8. 8.
    Terzidis, O., Oberle, D., Kadner, K.: The Internet of Services and USDL. In: Handbook of Service Description: USDL and Its Methods, pp. 1–16 (2012)Google Scholar
  9. 9.
    Gierej, S.: Big data in the industry - overview of selected issues. Manag. Syst. Prod. Eng. 25, 251–254 (2017)Google Scholar
  10. 10.
    Spendla, L., Kebisek, M., Tanuska, P., Hrcka, L.: Concept of predictive maintenance of production systems in accordance with Industry 4.0. In: Proceedings of the IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, SAMI 2017, pp. 405–410 (2017)Google Scholar
  11. 11.
    Marhaug, A., Schjolberg, P.: Smart maintenance Industry 4.0 and smart maintenance: from manufacturing to subsea production systems. In: Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation, pp. 47–54 (2016)Google Scholar
  12. 12.
    Kumar, U., Galar, D., Industry, I.: Quality, IT and business operations, pp. 231–250 (2018)Google Scholar
  13. 13.
    Kaul, S., Manes, R., Sniderman, B., McGoff, L., Mariani, J.: Predictive maintenance and the smart factory (2017)Google Scholar
  14. 14.
    Li, Z., Wang, Y., Wang, K.S.: Intelligent predictive maintenance for fault diagnosis and prognosis in machine centers: Industry 4.0 scenario. Adv. Manuf. 5, 377–387 (2017)CrossRefGoogle Scholar
  15. 15.
    Johnson, W.B., Hackworth, C.: Human factors in maintenance. Flight Saf. Found. Aerosafety World, 15, 34–40 (2008)Google Scholar
  16. 16.
    Longo, F., Nicoletti, L., Padovano, A.: Smart operators in Industry 4.0: a human-centered approach to enhance operators’ capabilities and competencies within the new smart factory context. Comput. Ind. Eng. 113, 144–159 (2017)CrossRefGoogle Scholar
  17. 17.
  18. 18.
    Jasiulewicz-Kaczmarek, M., Saniuk, A.: Advances in social & occupational. Ergonomics 605, 35–46 (2018)Google Scholar
  19. 19.
    Wrobel-Lachowska, M., Polak-Sopinska, A., Wisniewski, Z.: Advances in Human Factors in Training, Education, and Learning Sciences, vol 596, p. 7 (2018)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Paulina Krason
    • 1
  • Anna Maczewska
    • 1
    Email author
  • Aleksandra Polak-Sopinska
    • 1
  1. 1.Faculty of Management and Production EngineeringLodz University of TechnologyLodzPoland

Personalised recommendations