Abstract
Industry 4.0 is being promoting the digitisation of manufacturing sector towards smart products, machines, processes and factories. The adoption of disruptive technologies associated to this industrial revolution will lead to re-shaping the manufacturing environment, decreasing the low-skilled activities and increasing the high-skill activities, being expected to grow the complexity and number of new job profiles. In this context, this paper aims to analyse the literature and recruitment repositories to identify the new job profiles in the factory of the future (FoF) across six industrial technological sectors, namely Collaborative Robotics (Cobots), Additive Manufacturing (AM), Mechatronics and Machine Automation (MMA), Data Analytics (DA), Cybersecurity (CS) and Human-Machine Interface (HMI). The performed analysis allowed to compile a catalogue of 100 new job profiles that were characterised and analysed in terms of technical and soft skills, type and level of profile, as well as the frequency demand.
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Acknowledgement
This work is part of the FIT4FoF project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement n. 820701.
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Sakurada, L., Geraldes, C.A.S., Fernandes, F.P., Pontes, J., Leitão, P. (2021). Analysis of New Job Profiles for the Factory of the Future. In: Borangiu, T., Trentesaux, D., Leitão, P., Cardin, O., Lamouri, S. (eds) Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. SOHOMA 2020. Studies in Computational Intelligence, vol 952. Springer, Cham. https://doi.org/10.1007/978-3-030-69373-2_18
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DOI: https://doi.org/10.1007/978-3-030-69373-2_18
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