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Competency Model for Logistics Employees in Smart Factories

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Book cover Advances in Manufacturing, Production Management and Process Control (AHFE 2019)

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Abstract

New technologies are changing today’s logistics processes. The role of humans and the tasks they perform will therefore undergo decisive changes in the future. Companies will need to develop qualification strategies to cope with changing tasks, for which competency models are essential. Current research has dealt little with competency changes caused by the digitalization of automotive logistics. This leads to a lack of future-oriented competency models. Thus, this paper designs a competency model for logistics employees that integrates future competencies for operational and planning activities. General and logistics-specific competency models and studies on competency changes by digitalization are analyzed. The competency model created consists of professional, methodological, social, and personal competencies. It also considers the process for implementation and future adjustments. The model is applied and evaluated in selected logistics processes and identifies process-specific competencies and future changes. In addition, the competency model can conduce to strategic personal planning.

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Acknowledgements

This research was funded in part by the 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 the MAN Truck & Bus SE or the fml.

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Correspondence to Markus Kohl .

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Kohl, M., Heimeldinger, C., Brieke, M., Fottner, J. (2020). Competency Model for Logistics Employees in Smart Factories. In: Karwowski, W., Trzcielinski, S., Mrugalska, B. (eds) Advances in Manufacturing, Production Management and Process Control. AHFE 2019. Advances in Intelligent Systems and Computing, vol 971. Springer, Cham. https://doi.org/10.1007/978-3-030-20494-5_13

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  • DOI: https://doi.org/10.1007/978-3-030-20494-5_13

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