Advertisement

App Development via Low-Code Programming as Part of Modern Industrial Engineering Education

  • Benjamin AdrianEmail author
  • Sven Hinrichsen
  • Alexander Nikolenko
Conference paper
  • 6 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1207)

Abstract

The Industrial Engineering Laboratory at the Ostwestfalen-Lippe University of Applied Sciences and Arts researches the user-centered, customer-oriented and efficient design of work and production systems. Its research focuses on investigating different technologies from the context of digitalization in industrial production. Software used to digitally support work processes must be adapted specifically to work systems. It is difficult to take various user requirements into account in standard software. Therefore, IT experts must continuously adapt software in order to make it suitable for different applications. One possible alternative is for software applications to be designed by industrial engineering or users themselves. In low-code programming, in contrast to classic software development, it is possible to create software applications without extensive programming knowledge. In the laboratory, a teaching unit on app development using a low-code platform was designed. It was integrated into an existing teaching concept for industrial engineers, then evaluated using a questionnaire.

Keywords

Cognitive assistance systems Low-code programming Didactics 

Notes

Acknowledgments

This publication was created in collaboration with the “PRAXIS-OWL” project for practice-oriented and innovative learning in Ostwestfalen-Lippe, funded by the German Ministry of Education and Research (BMBF) (grant no. 01PL17048).

References

  1. 1.
    Hinrichsen, S., Riediger, D., Unrau, A.: Development of a projection-based assistance system for maintaining injection molding tools. In: De Meyer, A., Chai, K.H., Jiao, R., Chen, N., Xie, M. (eds.) Proceedings of the 2017 IEEE International Conference on Industrial Engineering and Engineering Management, Singapore (2017)Google Scholar
  2. 2.
    Hinrichsen, S., Riediger, D., Unrau, A.: Assistance systems in manual assembly. In: Villmer, F.-J., Padoano, E. (eds.) Proceedings of the 6th International Conference on Production Engineering and Management, Lemgo, pp. 3–14 (2016)Google Scholar
  3. 3.
    Adrian, B., Hinrichsen, S., Nikolenko, A., Meyer, F.: How to combine lean, human factors and digital manufacturing – a teaching concept. In: Nunes I.L. (ed.) Advances in Intelligent Systems and Computing, vol. 959. Advances in Human Factors and Systems Interaction. Proceedings of the AHFE 2019 International Conference on Human Factors and Systems Interaction, pp. 45–55, Springer, Cham (2020)Google Scholar
  4. 4.
    Mammadova, M., Jabrayilova, Z., Mammadzada, F.R.: Intelligent management of the unbalance supply chain and demand in the labor market for IT specialists. Int. J. Supply Chain Manag. 7(4), 34–354 (2018)Google Scholar
  5. 5.
    Study on the labor market for IT specialists of Germany’s digital association Bundesverband für Informationswirtschaft, Telekommunikation und neue Medien e. V. https://www.bitkom.org/Presse/Presseinformation/82000-freie-Jobs-IT-Fachkraeftemangel-spitzt
  6. 6.
    Waszkowski, R.: Low-code platform for automating business processes in manufacturing. IFAC PapersOnLine 52(10), 376–381 (2019)CrossRefGoogle Scholar
  7. 7.
    Kahanwal, B.: Abstraction level taxonomy of programming language frameworks. Int. J. Program. Lang. Appl. 3(4), 1–12 (2013)Google Scholar
  8. 8.
    Martin, J.: Application Development without Programmers. Prentice Hall, Upper Saddle River (1982)Google Scholar
  9. 9.
    Martin, J.: Fourth-Generation Languages. Prentice Hall, Upper Saddle River (1985)Google Scholar
  10. 10.
    Stieglitz, S., Brockmann, T.: Einsatz mobiler Anwendungen im Unternehmen. In: Knoll, M., Meinhardt, S. (eds.) Mobile Computing, Edition HMD. Springer Vieweg, Wiesbaden (2016)Google Scholar
  11. 11.
    Gröger, C., Silcher, S., Westkämper, E., Mitschang, B.: Leveraging apps in manufacturing. A framework for app technology in the enterprise. Procedia CIRP 7, 664–669 (2013)CrossRefGoogle Scholar
  12. 12.
    Bal, S.N.: Mobile web – enterprise application advantages. Int. J. Comput. Sci. Mobile Comput. 2(2), 36–40 (2013)Google Scholar
  13. 13.
    Goul, M., Marjanovic, O., Baxley, S., Vizecky, K.: Managing the enterprise business intelligence app store: sentiment analysis supported requirements engineering. In: Sprague, R.H. (ed.) Proceedings of the 2012 45th Hawaii International Conference on System Sciences, pp. 4168–4177. IEEE, Piscataway, N.J. (2012)Google Scholar

Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Benjamin Adrian
    • 1
    Email author
  • Sven Hinrichsen
    • 1
  • Alexander Nikolenko
    • 1
  1. 1.Ostwestfalen-Lippe University of Applied Sciences and ArtsLemgoGermany

Personalised recommendations