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dc.contributor.authorAkyazi, Tugce
dc.contributor.authorGoti, Aitor
dc.contributor.authorOyarbide Zubillaga, Aitor
dc.contributor.authorAlberdi Celaya, Elisabete ORCID
dc.contributor.authorCarballedo, Roberto
dc.contributor.authorIbeas, Rafael
dc.contributor.authorGarcía Bringas, Pablo
dc.date.accessioned2021-01-07T12:23:28Z
dc.date.available2021-01-07T12:23:28Z
dc.date.issued2020-12-13
dc.identifier.citationMetals 10(12) : (2020) // Article ID 1665es_ES
dc.identifier.issn2075-4701
dc.identifier.urihttp://hdl.handle.net/10810/49647
dc.description.abstractAbstract The machine tool industry, which is the starting point of all the metal producing activities, is presently undergoing rapid and continuous changes as a result of the fourth industrial revolution Industry 4.0. Manufacturing models are profoundly transforming with emerging digitalization. Smart technologies like artificial intelligence (AI), big data, the Internet of Things (IoT), digital twin, allow the machine tool companies to optimize processes, increase efficiency and reduce waste through a new phase of automation. These technologies, as well, enable the machine tool producers to reach the aim of creating products with improved performance, extended life, high reliability that are eco-efficient. Therefore, Industry 4.0 could be perceived as an invaluable opportunity for the machine tool sector, only if the sector has a competent workforce capable of handling the implementation of new business models and technological developments. The main condition to create this highly qualified workforce is reskilling and upskilling of the current workforce. Once we define the expected evolution of skills requirements, we can clarify the skills mismatch between the workers and job profiles. Only then, we can reduce them by delivering well-developed trainings. For this purpose, this article identifies the current and foreseen skills requirements demanded by the machine tool industry workforce. To this end, we generated an integrated database for the sector with the present and prospective skills needs of the metal processing sector professionals. The presented sectoral database is a fundamental structure that will make the sector acquire targeted industrial reforms. It can also be an essential instrument for machine tool companies, policymakers, academics and education or training centers to build well-designed and effective training programs to enhance the skills of the labor forcees_ES
dc.description.sponsorshipThis research was partly funded by (a) the European Union through the Erasmus Plus Programme (Grant Agreement No. 2018-3019/001-001, Project No. 600886-1-2018-1-DE-EPPKA2-SSA-B). (b) the HAZITEK call of the Basque Government, project acronym Adit4All and (c) Accenture, Inzu Group, Fundación Telefónica and Fundación BBK, partners of the Deusto Digital Industry Chair.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectIndustry 4.0es_ES
dc.subjectskillses_ES
dc.subjectworkforcees_ES
dc.subjectmachininges_ES
dc.subjectmachine tool sectores_ES
dc.subjectmetal sub-sectores_ES
dc.subjectdigitalizationes_ES
dc.titleSkills Requirements for the European Machine Tool Sector Emerging from Its Digitalizationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2020-12-24T15:55:19Z
dc.rights.holder2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2075-4701/10/12/1665/htmes_ES
dc.identifier.doi10.3390/met10121665
dc.departamentoesMatemática aplicada
dc.departamentoeuMatematika aplikatua


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2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).