Relationship between Trends, Job Profiles, Skills and Training Programs in the Factory of the Future

Joseane Pontes; Carla A.S. Geraldes; Florbela P. Fernandes; Lucas Sakurada; Ann Lilith Rasmussen; Lasse Christiansen; Sabine Hafner-Zimmermann; Kieran Delaney; Paulo Leitao

doi:10.1109/ICIT46573.2021.9453584

Relationship between Trends, Job Profiles, Skills and Training Programs in the Factory of the Future

Joseane Pontes, Carla A.S. Geraldes, Florbela P. Fernandes, Lucas Sakurada, Ann Lilith Rasmussen, Lasse Christiansen, Sabine Hafner-Zimmermann, Kieran Delaney, Paulo Leitao

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

21 Citationer (Scopus)

Abstract

Industry 4.0 is promoting the digitisation of manufacturing sectors towards smart products, machines, processes and factories. The adoption of disruptive technologies associated to this industrial revolution is re-shaping the manufacturing environment, decreasing low-skilled activities and increasing high-skill activities. These technological trends are affecting the job profiles and the skills required by the workforce, which demand proper training programs to address upskilling and reskilling needs. Having this in mind, this work proposes a model that contributes to understand how technological trends may impact the new job profiles and relevant skills, as well as how these skills may be upskilled by the workforce through available training programs according to their gaps and impact. The applicability of the proposed model was illustrated by considering two trends, the connectivity and the value of the data, and a catalogue of compiled new job profiles and training programs.

Originalsprog	Engelsk
Titel	Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021
Antal sider	6
Forlag	IEEE Signal Processing Society
Publikationsdato	10 mar. 2021
Sider	1240-1245
Artikelnummer	9453584
ISBN (Elektronisk)	9781728157306
DOI	https://doi.org/10.1109/ICIT46573.2021.9453584
Status	Udgivet - 10 mar. 2021
Udgivet eksternt	Ja
Begivenhed	22nd IEEE International Conference on Industrial Technology, ICIT 2021 - Valencia, Spanien Varighed: 10 mar. 2021 → 12 mar. 2021

Konference

Konference	22nd IEEE International Conference on Industrial Technology, ICIT 2021
Land/Område	Spanien
By	Valencia
Periode	10/03/2021 → 12/03/2021
Sponsor	IEEE Industrial Electronics Society (IES), The Institute of Electrical and Electronics Engineers (IEEE)

Navn	Proceedings of the IEEE International Conference on Industrial Technology
Vol/bind	2021-March

Bibliografisk note

Funding Information:
ACKNOWLEDGMENT 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.

Publisher Copyright:
© 2021 IEEE.

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10.1109/ICIT46573.2021.9453584

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Pontes, J., Geraldes, C. A. S., Fernandes, F. P., Sakurada, L., Rasmussen, A. L., Christiansen, L., Hafner-Zimmermann, S., Delaney, K., & Leitao, P. (2021). Relationship between Trends, Job Profiles, Skills and Training Programs in the Factory of the Future. I Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021 (s. 1240-1245). Artikel 9453584 IEEE Signal Processing Society. https://doi.org/10.1109/ICIT46573.2021.9453584

Pontes, Joseane ; Geraldes, Carla A.S. ; Fernandes, Florbela P. et al. / Relationship between Trends, Job Profiles, Skills and Training Programs in the Factory of the Future. Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021. IEEE Signal Processing Society, 2021. s. 1240-1245 (Proceedings of the IEEE International Conference on Industrial Technology, Bind 2021-March).

@inproceedings{1119c9ec11534329b8d3a00a42e6e436,

title = "Relationship between Trends, Job Profiles, Skills and Training Programs in the Factory of the Future",

abstract = "Industry 4.0 is promoting the digitisation of manufacturing sectors towards smart products, machines, processes and factories. The adoption of disruptive technologies associated to this industrial revolution is re-shaping the manufacturing environment, decreasing low-skilled activities and increasing high-skill activities. These technological trends are affecting the job profiles and the skills required by the workforce, which demand proper training programs to address upskilling and reskilling needs. Having this in mind, this work proposes a model that contributes to understand how technological trends may impact the new job profiles and relevant skills, as well as how these skills may be upskilled by the workforce through available training programs according to their gaps and impact. The applicability of the proposed model was illustrated by considering two trends, the connectivity and the value of the data, and a catalogue of compiled new job profiles and training programs. ",

author = "Joseane Pontes and Geraldes, {Carla A.S.} and Fernandes, {Florbela P.} and Lucas Sakurada and Rasmussen, {Ann Lilith} and Lasse Christiansen and Sabine Hafner-Zimmermann and Kieran Delaney and Paulo Leitao",

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doi = "10.1109/ICIT46573.2021.9453584",

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Pontes, J, Geraldes, CAS, Fernandes, FP, Sakurada, L, Rasmussen, AL, Christiansen, L, Hafner-Zimmermann, S, Delaney, K & Leitao, P 2021, Relationship between Trends, Job Profiles, Skills and Training Programs in the Factory of the Future. i Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021., 9453584, IEEE Signal Processing Society, Proceedings of the IEEE International Conference on Industrial Technology, bind 2021-March, s. 1240-1245, 22nd IEEE International Conference on Industrial Technology, ICIT 2021, Valencia, Spanien, 10/03/2021. https://doi.org/10.1109/ICIT46573.2021.9453584

Relationship between Trends, Job Profiles, Skills and Training Programs in the Factory of the Future. / Pontes, Joseane; Geraldes, Carla A.S.; Fernandes, Florbela P. et al.
Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021. IEEE Signal Processing Society, 2021. s. 1240-1245 9453584 (Proceedings of the IEEE International Conference on Industrial Technology, Bind 2021-March).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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AU - Geraldes, Carla A.S.

AU - Fernandes, Florbela P.

AU - Sakurada, Lucas

AU - Rasmussen, Ann Lilith

AU - Christiansen, Lasse

AU - Hafner-Zimmermann, Sabine

AU - Delaney, Kieran

AU - Leitao, Paulo

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AB - Industry 4.0 is promoting the digitisation of manufacturing sectors towards smart products, machines, processes and factories. The adoption of disruptive technologies associated to this industrial revolution is re-shaping the manufacturing environment, decreasing low-skilled activities and increasing high-skill activities. These technological trends are affecting the job profiles and the skills required by the workforce, which demand proper training programs to address upskilling and reskilling needs. Having this in mind, this work proposes a model that contributes to understand how technological trends may impact the new job profiles and relevant skills, as well as how these skills may be upskilled by the workforce through available training programs according to their gaps and impact. The applicability of the proposed model was illustrated by considering two trends, the connectivity and the value of the data, and a catalogue of compiled new job profiles and training programs.

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Pontes J, Geraldes CAS, Fernandes FP, Sakurada L, Rasmussen AL, Christiansen L et al. Relationship between Trends, Job Profiles, Skills and Training Programs in the Factory of the Future. I Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021. IEEE Signal Processing Society. 2021. s. 1240-1245. 9453584. (Proceedings of the IEEE International Conference on Industrial Technology, Bind 2021-March). doi: 10.1109/ICIT46573.2021.9453584

Relationship between Trends, Job Profiles, Skills and Training Programs in the Factory of the Future

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