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Socio-Technical Capability Assessment to Support Implementation of Cyber-Physical Production Systems in Line with People and Organization

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Advances in Human Factors and Systems Interaction (AHFE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 781))

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Abstract

Cyber-Physical Production Systems (CPPS) enable the intelligent, horizontal and vertical interconnection of people, machines and objects throughout the enterprise in real-time by information and communication technologies providing a basis for increasing transparency and productivity of production processes. However, especially small and medium-sized enterprises with limited resources and personal competencies need support in planning and evaluation of CPPS. Former developments, as the CIM-era, showed that changes in production systems focusing only on technology failed. Due to the interconnection of CPPS, a holistic approach, taking likewise humans, technology and organization into account is necessary. This paper presents requirements as well as an evaluation of existing approaches. Furthermore, this paper presents the approach of a socio-technical capability assessment, enabling companies to evaluate effects of CPPS as well as deriving implementation measures. It concludes with a validation based on a use case of a worker information system.

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Notes

  1. 1.

    This research and development project is/ was funded by the German Federal Ministry of Education and Research (BMBF) within the Program “Innovations for Tomorrow’s Production, Services, and Work” (funding number 02P14B101) and managed by the Project Management Agency Karlsruhe (PTKA). The author is responsible for the contents of this publication.

References

  1. Bauer, W., Schlund, S., Marrenbach, D., Ganschar, O.: Industrie 4.0: Volkswirtschaftliches Potenzial für Deutschland. BITKOM/Fraunhofer IAO, Berlin/ Stuttgart (2014)

    Google Scholar 

  2. Bauernhansl, T.: Die Vierte Industrielle Revolution – Der Weg in ein wertschaffendes Produktionsparadigma. In: Bauernhansl, T. et al. (eds.): Industrie 4.0 in Produktion, Automatisierung und Logistik, pp. 5–35. Springer-Vieweg, Wiesbaden (2014)

    Chapter  Google Scholar 

  3. Wöstmann, R., Strauß, P., Deuse, J.: Predictive Maintenance in der Produktion: Anwendungsfälle und Einführungsvoraussetzungen zur Erschließung ungenutzter Potentiale. Werkstatttechnik Online 107(7/8), 524–529 (2017)

    Google Scholar 

  4. Wöstmann, R., Nöhring, F., Deuse, J.: Katalog zur zielgerichteten Auswahl von Industrie 4.0-Lösungen. Betriebspraxis Arbeitsforschung 228(11), 38–40 (2016)

    Google Scholar 

  5. Jeske, T., Lennings, F., Stowasser, S.: Industrie 4.0-Umsetzung in der deutschen Metall- und Elektroindustrie. Zeitschrift für Arbeitswiss 70(2), 115–125 (2016)

    Article  Google Scholar 

  6. Bauernhansl, T., Dick, P.M. (eds.): Digitalisierung im Mittelstand – Entscheidungsgrundlagen und Handlungsempfehlungen. Fraunhofer IPA/Südwestmetall, Stuttgart (2017)

    Google Scholar 

  7. Jacobi, H.F.: Computer integrated manufacturing (CIM). In: Westkämper, E., et al. (eds.): Digitale Produktion, pp. 51–92. Springer, Berlin (2013)

    Chapter  Google Scholar 

  8. Deuse, J., Weisner, K., Hengstebeck, A., Busch, F.: Gestaltung von Produktionssystemen im Kontext von Industrie 4.0. In: Botthof, A., Hartmann, E. (eds.) Zukunft der Arbeit in Industrie 4.0, pp. 43–49. Springer, Berlin (2014)

    Google Scholar 

  9. Strohm, O., Pardo Escher, O.: Unternehmen arbeitspsychologisch bewerten: Ein Mehrebenen-Ansatz unter besonderer Berücksichtigung von Mensch, Technik, Organisation. In: Strohm, O., Eberhard, U. (eds.) Mensch, Technik, Organisation, vol. 10, pp. 21–37. vdf Hochschulverlag, Zürich (1997)

    Google Scholar 

  10. Anderl, R., Fleischer, J.: Leitfaden Industrie 4.0: Orientierungshilfe zur Einführung in den Mittelstand. VDMA, Frankfurt (2016)

    Google Scholar 

  11. Nöhring, F., Wienzek, T., Wöstmann, R., Deuse, J.: Industrie 4.0 in nicht F&E-intensiven Unternehmen. Entwicklung einer sozio-technischen Gestaltungs- und Einführungs systematik. ZWF 111(6), 376–379 (2016)

    Google Scholar 

  12. Trist, E.L., Bamforth, K.W.: Some social and psychological consequences of the long wall method of coal-getting. Human Relat. 4(1), 3–38 (1951)

    Article  Google Scholar 

  13. Hirsch-Kreinsen, H., ten Hompel, M.: Social Manufacturing and Logistics – Arbeit in der digitalisierten Produktion. In: BMWi/BMAS (Hrsg.): Arbeiten in der digitalen Welt. Mensch – Organisation – Technik, Berlin, pp. 6–9 (2016)

    Google Scholar 

  14. Ittermann, P., Niehaus, J., Hirsch-Kreinsen, H., Dregger, J., ten Hompel, M.: Social manufacturing and logistics. Gestaltung von Arbeit in der digitalen Produktion und Logistik. Soziologisches Arbeitspapier Nr. 47, Dortmund (2016)

    Google Scholar 

  15. Kese, D., Terstegen, S.: Industrie 4.0-Reifegradmodelle, ifaa, Düsseldorf (2017). https://www.arbeits-wissenschaft.net/uploads/tx_news/Tool_I40_Reifegradmodelle.pdf

  16. Pokorni, B., Schlund, S., Findeisen, S., Tomm, A., Euper, D., Mehl, D., Brehm, N., Ahmad, 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), 21–24 (2017)

    Google Scholar 

  17. Schuh, G., Anderl, R., Gausemeier, J., Ten Hompel, M., Wahlster, W.: Industrie 4.0 Maturity Index: Die digitale Transformation von Unternehmen gestalten, acatech - Deutsche Akademie der Technikwissenschaften, Berlin (2017)

    Google Scholar 

  18. Bauer, W., Braunreuther, S., Berger, C. et al.: Statusreport: Arbeitswelt Industrie 4.0, VDI/VDE-Gesellschaft, Düsseldorf (2016)

    Google Scholar 

  19. Göcking, J., Kleinhempel, K., Satzer, A.: TBS Basis Check Industrie 4.0, Technologieberatungsstelle beim DGB NRW e.V., Dortmund (2016)

    Google Scholar 

  20. Jodlbauer, H., Schagerl, M.: Reifegradmodell Industrie 4.0: Ein Vorgehensmodell zur Identifikation von Industrie 4.0 Potentialen. In: Mayr, H.C., Pinzger, M. (eds.) LNI, pp. 1473–1487, Gesellschaft für Informatik, Bonn (2016)

    Google Scholar 

  21. Hochschule für angewandte Wissenschaften Neu-Ulm: Digitaler Reifegrad Analysetool. http://reifegradanalyse.hs-neu-ulm.de/quest-ions.php

  22. Reuter, T., Gartzen, T., Prote, J.P., Fränken, B.: Industrie 4.0 Audit, VDI-Z Integrierte Produktion, Springer-VDI, Düsseldorf (2016)

    Google Scholar 

  23. Deutsche Telekom, A.G.: Digitalisierungsindex Mittelstand: Der digitale Status Quo des deutschen Mittelstands. Telekom/techconsult GmbH, Kassel (2017)

    Google Scholar 

  24. Becker, P.: Industrie 4.0 Reifegrad-Test, Vision Lasertechnik GmbH/ bluebiz OHG/ UNIORG Gruppe, Barsinghausen (2016)

    Google Scholar 

  25. Vogler, H., Berger, U.: Digitaler Leitfaden für Industrie 4.0. https://www.ihk-industrie40.de

  26. H&D International Group: Industrie 4.0 readiness. https://www.hud.de/industrie-4-0/

  27. Boston Consulting Group: Digital AccelerationIndex. https://www.bcg.com/de-de/capabilities/technology-digital/digital-acceleration-index.aspx

  28. Mittelstand 4.0-Kompetenzzentrum Dortmund: Quickcheck Industrie 4.0 Reifegrad. https://indivsurvey.de/umfrage/53106/uHW7XM

  29. Lichtblau, K., Stich, V., Bertenrath, R., Blum, M., Bleider, M., Millack, A., Schmitt, K., Schmitz, E., Schröter, M.: Industrie 4.0-Readiness. IW Consult/ FIR, Köln/ Aachen (2015)

    Google Scholar 

  30. Anderl, R., Fleischer, J.: Leitfaden Industrie 4.0: Orientierungshilfe zur Einführung in den Mittelstand, VDMA, Frankfurt (2016)

    Google Scholar 

  31. PricewaterhouseCoopers GmbH: Industrie 4.0 Self-Assessment. https://i40-self-assessment.pwc.de/i40/interview/

  32. Schilling, G., Nettelstroh, W., Denecke, V., Schormann, D., Vanselow, A., Korflür, I., Weddige, F.: Arbeit 4.0 fair gestalten: Die Betriebslandkarte im Rahmen des Projekts “Arbeit 2020 in NRW”, IG Metall, Düsseldorf (2017)

    Google Scholar 

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Authors and Affiliations

  1. Department for Production Systems, RIF Institute for Research and Transfer e.V., Joseph-von-Fraunhofer-Str. 20, 44227, Dortmund, Germany

    Fabian Noehring, René Woestmann & Jochen Deuse

  2. Research Area Industry and Labour Research, TU Dortmund University, Otto-Hahn-Straße 4, 44227, Dortmund, Germany

    Tobias Wienzek

Authors
  1. Fabian Noehring
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  2. René Woestmann
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  3. Tobias Wienzek
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  4. Jochen Deuse
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Corresponding author

Correspondence to Fabian Noehring .

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Editors and Affiliations

  1. Faculty of Science and Technology, Universidade NOVA de Lisboa, Caparica, Portugal

    Isabel L. Nunes

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Noehring, F., Woestmann, R., Wienzek, T., Deuse, J. (2019). Socio-Technical Capability Assessment to Support Implementation of Cyber-Physical Production Systems in Line with People and Organization. In: Nunes, I. (eds) Advances in Human Factors and Systems Interaction. AHFE 2018. Advances in Intelligent Systems and Computing, vol 781. Springer, Cham. https://doi.org/10.1007/978-3-319-94334-3_30

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