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Analysis of the workforce Skills for the factories of the future

dc.contributor.authorLeitão, Paulo
dc.contributor.authorGeraldes, Carla A.S.
dc.contributor.authorFernandes, Florbela P.
dc.contributor.authorBadikyan, Hasmik
dc.date.accessioned2023-02-27T16:43:58Z
dc.date.available2023-02-27T16:43:58Z
dc.date.issued2020
dc.description.abstractIndustry 4.0 is promoting the digitisation of manufacturing sector towards smart and more efficient factories, seen worldwide as the fourth industrial revolution. However, its complete adoption strongly depends on the skills that existing workforce and future professionals can have in the different dimensions of this multidisciplinary vision, contributing to increase the digital maturity level of companies from the industrial sector. Additionally, new job profiles are emerging to face the implementation of these innovative approaches, which implies the need for the re-qualification and up-skilling of existing workforce, particularly focusing the digital skills. In this context, this paper analyses the gap and impact in the non-technical and technical skills required for the successful transition into digitisation, particularly across six manufacturing areas covering the collaborative robotics (cobots), additive manufacturing, mechatronics and machine automation, data analytics, cybersecurity and humanmachine interface.pt_PT
dc.description.sponsorshipThis 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 nº 820701.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLeitão, Paulo; Geraldes, Carla A.S.; Fernandes, Florbela P.; Badikyan, Hasmik (2020). Analysis of the workforce Skills for the factories of the future. In 3rd IEEE Conference on Industrial Cyberphysical Systems, ICPS 2020. Temperept_PT
dc.identifier.doi10.1109/ICPS48405.2020.9274757pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/27259
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEE Xplorept_PT
dc.relationMaking our Workforce Fit for the Factory of the Future
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectIndustry 4.0pt_PT
dc.subjectDigitisationpt_PT
dc.subjectRe-qualificationpt_PT
dc.subjectSoft skillspt_PT
dc.subjectTechnical skillspt_PT
dc.titleAnalysis of the workforce Skills for the factories of the futurept_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleMaking our Workforce Fit for the Factory of the Future
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/820701/EU
oaire.citation.conferencePlaceTemperept_PT
oaire.citation.endPage358pt_PT
oaire.citation.startPage353pt_PT
oaire.citation.title3rd IEEE Conference on Industrial Cyberphysical Systems, ICPS 2020pt_PT
oaire.fundingStreamH2020
person.familyNameLeitão
person.familyNameGeraldes
person.familyNameFernandes
person.givenNamePaulo
person.givenNameCarla A.S.
person.givenNameFlorbela P.
person.identifierA-8390-2011
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.ciencia-id501D-6FD0-CC53
person.identifier.orcid0000-0002-2151-7944
person.identifier.orcid0000-0003-0187-1281
person.identifier.orcid0000-0001-9542-4460
person.identifier.ridV-4290-2017
person.identifier.scopus-author-id35584388900
person.identifier.scopus-author-id25122283900
person.identifier.scopus-author-id35179471000
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication68d9eb25-ad4f-439b-aeb2-35e8708644cc
relation.isAuthorOfPublication7c251b32-de29-4ea1-8455-87a8aa49c8ef
relation.isAuthorOfPublication1f7a9fde-7a4d-4b2c-8f9d-dab571163c33
relation.isAuthorOfPublication.latestForDiscovery7c251b32-de29-4ea1-8455-87a8aa49c8ef
relation.isProjectOfPublicationfe01ed62-2ef2-4d08-89e6-4d0706267f06
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