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Data Science for Industry 4.0 and Sustainability: A Survey and Analysis Based on Open Data

2023Journal article Open access
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dc.contributor.authorCastro, Helio
dc.contributor.authorCosta, Filipe
dc.contributor.authorFerreira, Tânia
dc.contributor.authorÁvila, Paulo
dc.contributor.authorCruz-Cunha, Manuela
dc.contributor.authorFerreira, Luís
dc.contributor.authorPutnik, Goran D.
dc.contributor.authorBastos, João
dc.date.accessioned2023-07-14T08:55:18Z
dc.date.available2023-07-14T08:55:18Z
dc.date.issued2023
dc.description.abstractIn the last few years, the industrial, scientific, and technological fields have been subject to a revolutionary process of digitalization and automation called Industry 4.0. Its implementation has been successful mainly in the economic field of sustainability, while the environmental field has been gaining more attention from researchers recently. However, the social scope of Industry 4.0 is still somewhat neglected by researchers and organizations. This research aimed to study Industry 4.0 and sustainability themes using data science, by incorporating open data and open-source tools to achieve sustainable Industry 4.0. To that end, a quantitative analysis based on open data was developed using open-source software in order to study Industry 4.0 and sustainability trends. The main results show that manufacturing is a relevant value-added activity in the worldwide economy; that, foreseeing the importance of Industry 4.0, countries in America, Asia, Europe, and Oceania are incorporating technological principles of Industry 4.0 in their cities, creating so-called smart cities; and that the industries that invest most in technology are computers and electronics, pharmaceuticals, transport equipment, and IT (information technology) services. Furthermore, the G7 countries have a prevalent positive trend for the migration of technological and social skills toward sustainability, as it relates to the social pillar, and to Industry 4.0. Finally, on the global scale, a positive correlation between data openness and happiness was found.pt_PT
dc.description.sponsorshipThis work was financed by national funds through the Portuguese funding agency,FCT—Fundação para a Ciência e a Tecnologia, within project LA/P/0063/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/machines11040452pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/23225
dc.language.isoengpt_PT
dc.publisherMDPIpt_PT
dc.relationLA/P/0063/2020pt_PT
dc.relation.publisherversionhttps://www.mdpi.com/2075-1702/11/4/452pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectIndustry 4.0pt_PT
dc.subjectData sciencept_PT
dc.subjectSustainabilitypt_PT
dc.subjectSocial sustainability open datapt_PT
dc.subjectOpen-source toolspt_PT
dc.titleData Science for Industry 4.0 and Sustainability: A Survey and Analysis Based on Open Datapt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue4pt_PT
oaire.citation.startPage452pt_PT
oaire.citation.titleMachinespt_PT
oaire.citation.volume11pt_PT
person.familyNameCastro
person.familyNameÁvila
person.familyNameFerreira
person.givenNameHelio
person.givenNamePaulo
person.givenNameLuís
person.identifier631747
person.identifier.ciencia-id5F17-10EE-C0CE
person.identifier.ciencia-idAD10-8EAE-8EE2
person.identifier.ciencia-id0919-7ED7-85AC
person.identifier.orcid0000-0001-5712-9954
person.identifier.orcid0000-0001-8420-0875
person.identifier.orcid0000-0001-9635-5372
person.identifier.orcid0000-0002-9082-3291
person.identifier.ridE-2348-2019
person.identifier.ridAAC-7395-2020
person.identifier.scopus-author-id55175839700
person.identifier.scopus-author-id8609138000
person.identifier.scopus-author-id57193618060
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication21b8fcc5-040e-4238-91e5-499ec0cc0bff
relation.isAuthorOfPublication444efa0f-ca28-4743-8e78-7d31b0abde47
relation.isAuthorOfPublication0e38d198-7cf1-4d4f-bf3f-fb2a02ef8bc2
relation.isAuthorOfPublication4d87cfaf-50d1-4efc-8e0f-5b39a3700bdd
relation.isAuthorOfPublication.latestForDiscovery21b8fcc5-040e-4238-91e5-499ec0cc0bff

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