Skip to main content

The Digital Turn: On the Quest for Holistic Approaches

  • Conference paper
  • First Online:
Distributed Computing and Internet Technology (ICDCIT 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11319))

Abstract

Companies, especially SMEs, are struggling with the digital turn. Technologies are ready for use. Industrial Internet of Things (IIoT) is not new anymore. Apparently, the change is not straightforward. For a better digital future, a bigger perspective and greater responsibility for decisions around digital technologies seems to be necessary. Digitization has now become a social issue. A look at the basics and principles of digitalization will lead us to some theses. With the help of some insights into companies, we embark on a search for successful practices and challenges in digital change.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. von der Heyde, M., Hartmann, A., Auth, G., et al.: Zur disruptiven Digitalisierung von Hochschulforschung: Faktoren der Skalierung und ein Zukunftsszenario. Informatik Spektrum 41(5), 1–10 (2018). https://doi.org/10.1007/s00287-018-01126-1

    Article  Google Scholar 

  2. Stocker, A., Brandl, P., Michalczuk, R., et al.: Mensch-zentrierte IKT-Lösungen in einer Smart Factory. Elektrotech. Inftech. 131(7), 207–211 (2014). https://doi.org/10.1007/s00502-014-0215-z

    Article  Google Scholar 

  3. Hinrichsen, S., Riediger, D., Unrau, A.: Development of a projection-based assistance system for maintaining injection molding tools. In: 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 1571–1575. IEEE (2017)

    Google Scholar 

  4. Schlagowski, R., Merkel, L., Meitinger, C.: Design of an assistant system for industrial maintenance tasks and implementation of a prototype using augmented reality. In: 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 294–298 (2017)

    Google Scholar 

  5. Spath, D. (ed.): Produktionsarbeit der Zukunft - Industrie 4.0: Studie. Fraunhofer-Verl., Stuttgart (2013)

    Google Scholar 

  6. Bauer, D., Maurer, T., Henkel, C., et al.: Big-Data-Analytik: Datenbasierte Optimierung Produzierender Unternehmen. Zenodo (2017)

    Google Scholar 

  7. Funk, M.: Augmented reality at the workplace. Dissertation, Universitätsbibliothek der Universität Stuttgart (2016)

    Google Scholar 

  8. Liu, Y., Li, S., Wang, J., et al.: A computer vision-based assistant system for the assembly of narrow cabin products. Int. J. Adv. Manuf. Technol. 76(1–4), 281–293 (2015). https://doi.org/10.1007/s00170-014-6274-9

    Article  Google Scholar 

  9. Hold, P., Erol, S., Reisinger, G., et al.: Planning and evaluation of digital assistance systems. Procedia Manuf. 9, 143–150 (2017). https://doi.org/10.1016/j.promfg.2017.04.024

    Article  Google Scholar 

  10. Huck-Fries, V., Wiegand, F., Klinker, K., et al.: Datenbrillen in der Wartung. Gesellschaft für Informatik, Bonn (2017)

    Google Scholar 

  11. Groggert, S., Wenking, M., Schmitt, R.H., et al.: Status quo and future potential of manufacturing data analytics—an empirical study. In: 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 779–783 (2017)

    Google Scholar 

  12. Schröder, C.: Herausforderungen von Industrie 4.0 für den Mittelstand. Gute Gesellschaft - soziale Demokratie #2017plus. Friedrich-Ebert-Stiftung, Abteilung Wirtschafts-. und Sozialpolitik, Bonn (2016)

    Google Scholar 

  13. Wolf, M., Semm, A., Erfurth, C.: Digital transformation in companies – challenges and success factors. In: Hodoň, M., Eichler, G., Erfurth, C., et al. (eds.) Innovations for Community Services, vol. 863, pp. 178–193. Springer International Publishing, Cham (2018). https://doi.org/10.1007/978-3-319-93408-2_13

    Chapter  Google Scholar 

  14. Jordan, F., Bernardy, A., Stroh, M., et al.: Requirements-based matching approach to configurate cyber-physical systems for SMEs. In: 2017 Portland International Conference on Management of Engineering and Technology (PICMET), pp. 1–7 (2017)

    Google Scholar 

  15. Klotzer, C., WeiBenborn, J., Pflaum, A.: The evolution of cyber-physical systems as a driving force behind digital transformation. In: 2017 IEEE 19th Conference on Business Informatics (CBI), pp. 5–14 (2017)

    Google Scholar 

  16. Ten Hompel, M., Cirullies, J., Engelmeier, G., et al.: Kompetenzentwicklungsstudie Industrie 4.0: Erste Ergebnisse und Schlussfolgerungen (2016)

    Google Scholar 

  17. etventure.de: etventure-Studie Digitale Transformation 2017: Die deutschen Unternehmen sind zu langsam und zu unflexibel (2017). www.etventure.de/blog/etventure-studie-digitale-transformation-2017-die-deutschen-unternehmen-sind-zu-langsam-und-zu-unflexibel/

  18. Forstner, L., Dümmler, M.: Integrierte Wertschöpfungsnetzwerke – Chancen und Potenziale durch Industrie 4.0. Elektrotech. Inftech. 131(7), 199–201 (2014). https://doi.org/10.1007/s00502-014-0224-y

    Article  Google Scholar 

  19. Wischmann, S., Wangler, L., Botthoff, A. (eds.): Industrie 4.0: Volks- und betriebswirtschaftliche Faktoren für den Standort Deutschland : eine Studie im Rahmen der Begleitforschung zum Technologieprogramm Autonomik für Industrie 4.0. Bundesministerium für Wirtschaft und Energie (BMWi), Berlin (2015)

    Google Scholar 

  20. Jung, K., Kulvatunyou, B., Choi, S., Brundage, Michael P.: An overview of a smart manufacturing system readiness assessment. In: Nääs, I., Vendrametto, O., Reis, J.M., Gonçalves, R.F., Silva, M.T., von Cieminski, G., Kiritsis, D. (eds.) APMS 2016. IAICT, vol. 488, pp. 705–712. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-51133-7_83

    Chapter  Google Scholar 

  21. Bischoff, J.: Studie “Erschließen der Potenziale der Anwendung von ‘Industrie 4.0’ im Mittelstand” (2015). https://www.bmwi.de/Redaktion/DE/Publikationen/Studien/erschliessen-der-potenziale-der-anwendung-von-industrie-4-0-im-mittelstand.html

  22. de Carolis, A., Macchi, M., Negri, E., et al.: Guiding manufacturing companies towards digitalization a methodology for supporting manufacturing companies in defining their digitalization roadmap. In: 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC), pp. 487–495 (2017)

    Google Scholar 

  23. Schuh, G., Fuß, C. (eds.): ProSense: Ergebnisbericht des BMBF-Verbundprojektes; hochauflösende Produktionssteuerung auf Basis kybernetischer Unterstützungssysteme und intelligenter Sensorik, 1st edn. Apprimus Verl, Aachen (2015)

    Google Scholar 

  24. Hübner, M., Malessa, N., Nyhuis, P., et al.: Vorgehensmodell zur Einführung von Industrie 4.0: Vorstellung eines Vorgehensmodells zur bedarfsgerechten Einführung von Industrie 4.0-Methoden. wt. Werkstattstechnik online( 4), 266–272 (2017)

    Google Scholar 

  25. Rosell, A., Salomonsson, L.: Towards a framework for identifying digital improvement opportunities: utilizing information flow and its stakeholder value. Master thesis, Linköping University (2018)

    Google Scholar 

Download references

Acknowledgement

The author is very thankful for the support in the research especially Arlett Semm and Marcus Wolf. This work was supported in part by the German Federal Ministry of Education and Research (BMBF) under the grant number 02L14A073.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Christian Erfurth .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Erfurth, C. (2019). The Digital Turn: On the Quest for Holistic Approaches. In: Fahrnberger, G., Gopinathan, S., Parida, L. (eds) Distributed Computing and Internet Technology. ICDCIT 2019. Lecture Notes in Computer Science(), vol 11319. Springer, Cham. https://doi.org/10.1007/978-3-030-05366-6_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-05366-6_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05365-9

  • Online ISBN: 978-3-030-05366-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics