Production Assessment 4.0 – Methods for the Development and Evaluation of Industry 4.0 Use Cases

  • Wilhelm Bauer
  • Bastian Pokorni
  • Stefanie Findeisen
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 793)


Facing a wide range of new technologies and best practices within Industry 4.0, companies are seeking a systematic approach to identify potential application scenarios in their production. Best practices are often customized use cases – generally too specific to apply in a different manufacturing setting right away. The Production Assessment 4.0 presents a pragmatic approach to support companies to develop Industry 4.0 use cases in their factories. The approach follows the Design Thinking method and focus especially on the human role as a key aspect in the use cases designing process.


Design thinking Industry 4.0 Digitalization Human-centered design Production Maturity model 


  1. 1.
    Lasi, H., Fettke, P., Kemper, H.-G., Feld, T., Hoffmann, M.: Industry 4.0. Bus. Inf. Syst. Eng. 6, 239–242 (2014)Google Scholar
  2. 2.
    Spath, D., Ganschar, O., Gerlach, S., Hämmerle, M., Krause, T., Schlund, S.: Produktionsarbeit der Zukunft – Industrie 4.0. Fraunhofer-Verl., Stuttgart (2013)Google Scholar
  3. 3.
    Anderl, R.: Guideline Industrie 4.0: Guiding principles for the implementation of Industrie 4.0 in small and medium sized businesses. VDMA-Verl., Frankfurt am Main (2015)Google Scholar
  4. 4.
    Lucia Merz, S.: Industrie 4.0-Strategie: So geht man bei der Einführung vor Einführung und Umsetzung vor. In: Roth, A. (ed.) Industrie 4.0: Grundlagen, Vorgehensmodell und Use cases aus der Praxis, pp. 83–132. Springer Gabler Berlin, Heidelberg (2016)Google Scholar
  5. 5.
    Technische Universität Darmstadt: Generisches Vorgehensmodell zur Einführung von Industrie 4.0 in mittelständischen Unternehmen der Serienfertigung. Abschlussbericht des Fachgebietes Datenverarbeitung in der Konstruktion des Projektes CypIFlex, Darmstadt (2015)Google Scholar
  6. 6.
    Bauer, W., Schlund, S., Hornung, T., Schuler, S.: Digitalization of industrial value chains – a review and evaluation of existing use cases of Industry 4.0 in Germany. In: Proceedings of 24th International Conference on Production Research, Poznan, Poland (2017)Google Scholar
  7. 7.
    Brown, T., Katz, B.: Change by Design: How Design Thinking can Transform Organizations and Inspire Innovation. HarperCollins Publishers, New York (2009)Google Scholar
  8. 8.
    BITKOM, VDMA, ZVEI: Umsetzungsstrategie Industrie 4.0: Ergebnisbericht der Plattform Industrie 4.0. BITKOM e.V., VDMA e.V. and ZVEI e.V, Berlin, Frankfurt (2015)Google Scholar
  9. 9.
    Von Rosenstiel, L., Nerdinger, F.W.: Grundlagen der Organisationspsychologie: Basiswissen und Anwendungshinweise. Schäffer-Poeschel Verlag (2011)Google Scholar
  10. 10.
    Dievernich, F.E.P., Gong, J., Tokarski, K.O.: At the heart: human being in organizations. In: Dievernich, F.E.P. (ed.) Change Management and the Human Factor: Advances, Challenges and Contradictions in Organizational Development, pp. 1–8. Springer, Cham (2015). Scholar
  11. 11.
    Rouse, W.B.: People and Organizations: Explorations of Human-Centered Design. Wiley, Hoboken (2007)CrossRefGoogle Scholar
  12. 12.
    Volkova, T., Jākobsone, I.: Design Thinking as a business tool to ensure continuous value generation. Intellect. Econ. 10(1), 63–69 (2016)CrossRefGoogle Scholar
  13. 13.
    Hutton, W.: Design in the knowledge economy 2020. Design Council (2010)Google Scholar
  14. 14.
    Johansson-Sköldberg, U., Woodilla, J., Çetinkaya, M.: Design thinking: past, present and possible futures. creativity and innovation management. Creat. Innov. Manag. 22(2), 121–146 (2013)CrossRefGoogle Scholar
  15. 15.
    Freudenthaler-Mayrhofer, D., Sposato, T.: Corporate Design Thinking: Wie Unternehmen ihre Innovationen erfolgreich gestalten. Springer Gabler, Wiesbaden (2017)CrossRefGoogle Scholar
  16. 16.
    Pokorni, B., Schlund, S., Findeisen, S., Tomm, A., Euper, D., Mehl, D., Brehm, N., Ahamd, D., Ohlhausen, P., Palm, D.: Produktionsassessment 4.0: Entwicklung eines Reifegradmodells zur Bewertung der Lean Management und Industrie-4.0-Reife von produzierenden Unternehmen, ZWF 112(1–2), 20–24 (2017)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Wilhelm Bauer
    • 1
  • Bastian Pokorni
    • 1
  • Stefanie Findeisen
    • 2
  1. 1.Fraunhofer Institute for Industrial EngineeringStuttgartGermany
  2. 2.Institute for Human Factors and Technology Management IATUniversity of StuttgartStuttgartGermany

Personalised recommendations