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Data-Driven Determination and Plausibility Check of Requirement Profiles in Logistics

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Advances in Manufacturing, Production Management and Process Control (AHFE 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 274))

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Abstract

The introduction of new technologies driven by Industry 4.0 is transforming existing logistics processes. The changing tasks of the employees in this context require a systematic review of current requirement profiles (RPs) to appropriately bundle future employee tasks in homogeneous profiles. Thus, this paper develops a method for the determination of RPs taking Industry 4.0 in logistics into account. In this way, tasks are systematically transferred into RPs on the basis of similar characteristics. A data-driven method is chosen to reduce the subjectivity of the approach by using similarity factors. These reflect the central aspects of the socio-technical system and are derived from literature and practice. The method, which has been validated at a commercial vehicle manufacturer, helps in making decisions about RPs and can provide information about how eliminated, changed and new tasks affect the composition of employee RPs.

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References

  1. Neumann, W.P., Winkelhaus, S., Grosse, E.H., Glock, C.H.: Industry 4.0 and the human factor – a systems framework and analysis methodology for successful development. Int. J. Prod. Econ. (2021)

    Google Scholar 

  2. Link, K., von Rosenstiel, L.: Strategisches HRM Kompetenzmanagement (2012)

    Google Scholar 

  3. Becker, M.: Personalentwicklung: bildung, förderung und organisationsentwicklung in theorie und praxis. Schäffer-Poeschel (2013)

    Google Scholar 

  4. Lorenz, M., Rohrschneider, U.: Erfolgreiche Personalauswahl. Gabler Verlag, Wiesbaden (2015). https://doi.org/10.1007/978-3-8349-4766-6

    Book  Google Scholar 

  5. Lorenz, M., Ruessmann, M., Strack, R., Lueth, K.L., Bolle, M.: Man and machine in industry 4.0: how will technology transform the industrial workforce through 2025. BCG (2015)

    Google Scholar 

  6. Briscoe, J., Hall, D.: Grooming and picking leaders using competency frameworks: Do they work? An alternative approach and new guidelines for practice (1999)

    Google Scholar 

  7. Grote, S., Kauffeld, S., Denison, K., Billich-Knapp, M., Frieling, E.: Kompetenzen und deren management: ein Überblick. In: Grote, S., Kauffeld, S., Frieling, E. (eds.) Kompetenzmanagement. Grundlagen und Praxisbeispiele, Schäffer-Poeschel Verlag, Stuttgart (2012)

    Google Scholar 

  8. Kipper, L.M., et al.: Scientific mapping to identify competencies required by industry 4.0 (2021)

    Google Scholar 

  9. Majkovic, A.-L., et al.: IAP Studie 2017–Teil 2: der mensch in der arbeitswelt 4.0 (2017)

    Google Scholar 

  10. Wilk, G.: Stellenbeschreibungen und anforderungsprofile. Kompetente Unterstützung für erfolgreiche Personalarbeit, Haufe Group, Freiburg, München, Stuttgart (2018)

    Google Scholar 

  11. Pfohl, H.-C.: Logistikmanagement. Konzeption und Funktionen. Springer, Heidelberg (2016).https://doi.org/10.1007/978-3-662-48784-6

  12. Bauer, W., Dworschak, B., Zaiser, H.: Weiterbildung und kompetenzentwicklung für die industrie 4.0. In: Handbuch Industrie 4.0. Springer, Heidelberg (2017). https://doi.org/10.1007/978-3-662-45279-0_36

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Acknowledgements

This research was funded in part by MAN Truck & Bus SE and in part by the Chair of Materials Handling, Material Flow, Logistics (fml) at the Technical University of Munich. All support is gratefully acknowledged. Any opinions, findings, conclusions, or recommendations expressed in this paper are those of the writers and do not necessarily reflect the views of MAN Truck & Bus SE or the fml.

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Authors and Affiliations

  1. Chair of Materials Handling, Material Flow, Logistics, Technical University of Munich, Boltzmann Street 15, 85748, Garching, Germany

    Markus Kohl & Johannes Fottner

  2. MAN Truck and Bus SE, Dachauer Street 667, 80995, Munich, Germany

    Sandra Häring & Jens Lopitzsch

Authors
  1. Markus Kohl
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  2. Sandra Häring
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  3. Jens Lopitzsch
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  4. Johannes Fottner
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Corresponding author

Correspondence to Markus Kohl .

Editor information

Editors and Affiliations

  1. Poznan University of Technology, Poznan, Poland

    Stefan Trzcielinski

  2. Faculty of Engineering Management, Poznan University, Poznan, Poland

    Beata Mrugalska

  3. University of Central Florida, Cocoa Beach, FL, USA

    Waldemar Karwowski

  4. Lincoln School of Design, University of Lincoln, LINCOLN, UK

    Emilio Rossi

  5. Department of Architecture, University of Chieti-Pescara, Pescara, Pescara, Italy

    Massimo Di Nicolantonio

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Kohl, M., Häring, S., Lopitzsch, J., Fottner, J. (2021). Data-Driven Determination and Plausibility Check of Requirement Profiles in Logistics. In: Trzcielinski, S., Mrugalska, B., Karwowski, W., Rossi, E., Di Nicolantonio, M. (eds) Advances in Manufacturing, Production Management and Process Control. AHFE 2021. Lecture Notes in Networks and Systems, vol 274. Springer, Cham. https://doi.org/10.1007/978-3-030-80462-6_39

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  • DOI: https://doi.org/10.1007/978-3-030-80462-6_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80461-9

  • Online ISBN: 978-3-030-80462-6

  • eBook Packages: EngineeringEngineering (R0)

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