Abstract
Digital transformation is a key driver for Industry 4.0 and converts production and logistics into a digitalized, interconnected, intelligent factory and supply chain. Associated technical developments are resulting in an enormous change in the requirements for employee competencies. Despite increasing automation, workforces and their skills are still of great importance for the successful utilization of innovative technologies. Until now, current research has scarcely focused on upcoming changes in technology-specific competencies due to digitalization and automation in logistics. The aim of this paper is to identify the competency requirements by means of semi-structured interviews with technology providers. The analysis indicates that demands for competencies change based on the use of hardware and software products. The paper identifies future relevant competencies and requirements for logistics employees so that Industry 4.0 technologies can be exploited. By analyzing changes in competencies, demands for qualifications and appropriate development and training for employees can be derived.
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References
Sharma, A., Jain, D.K.: Development of Industry 4.0. In: Nayyar, A., Kumar, A. (eds.) A Roadmap to Industry 4.0: Smart Production, Sharp Business and Sustainable Development, pp. 23–38. Springer, Cham (2020)
Pfeiffer, S.: Robots, Industry 4.0 and humans, or why assembly work is more than routine work. Societies 2, 16 (2016)
Tan, Q., Tong, Y., Wu, S., Li, D.: Anthropocentric approach for smart assembly: integration and collaboration. J. Robot. 1, 1–8 (2019)
Dalmarco, G., Ramalho, F.R., Barros, A.C., Soares, A.L.: Providing industry 4.0 technologies: the case of a production technology cluster. J. High Technol. Manage. Res. 30, 100355 (2019)
Hofmann, E., Rüsch, M.: Industry 4.0 and the current status as well as future prospects on logistics. Comput. Ind. 89, 23–34 (2017)
Oztemel, E., Gursev, S.: Literature review of Industry 4.0 and related technologies. J. Intell. Manuf. 4, 3 (2018)
Wang, L., Törngren, M., Onori, M.: Current status and advancement of cyber-physical systems in manufacturing. J. Manuf. Syst. 37, 517–527 (2015)
Bihani, P., Patil, S.T.: A comparative study of data analysis techniques. Int. J. Emerg. Trends Technol. Comput. Sci. 3, 95–101 (2014)
Rahmanifard, H., Plaksina, T.: Application of artificial intelligence techniques in the petroleum industry: a review. Artif. Intell. Rev. 52(4), 2295–2318 (2018)
Krug, R., Stoyanov, T., Tincani, V., Andreasson, H., Mosberger, R., Fantoni, G., Lilienthal, A.J.: The next step in robot commissioning: autonomous picking and palletizing. IEEE Robot. Autom. Lett. 1, 546–553 (2016)
Kumari, S., Polke, N.: Implementation issues of augmented reality and virtual reality. In: Hemanth, J., et al. (eds.) International Conference on Intelligent Data Communication Technologies and IoT, pp. 853–861. Springer, Cham (2019)
Hecklau, F., Galeitzke, M., Flachs, S., Kohl, H.: Holistic approach for human resource management in Industry 40. Procedia CIRP 54, 1–6 (2016)
Dworschak, B., Zaiser, H., Martinetz, S., Windelband, L.: The future skills needed for the Internet of Things in the field of logistics: summary of study findings, pp. 1–11 (2013)
Zijm, H., Klumpp, M.: Future logistics: what to expect, how to adapt. In: Freitag, M., Kotzab, H., Pannek, J. (eds.) Dynamics in Logistics, pp. 365–379. Springer, Cham (2017)
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Kohl, M., Knauer, S., Fottner, J. (2021). Industry 4.0 in Logistics and Associated Employee Competencies – A Technology Providers’ Perspective. In: Ahram, T., Taiar, R., Langlois, K., Choplin, A. (eds) Human Interaction, Emerging Technologies and Future Applications III. IHIET 2020. Advances in Intelligent Systems and Computing, vol 1253. Springer, Cham. https://doi.org/10.1007/978-3-030-55307-4_57
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DOI: https://doi.org/10.1007/978-3-030-55307-4_57
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