Data science for Industry 4.0 and sustainability: a survey and analysis based on open data

Detalhes bibliográficos
Autor(a) principal: Castro, Hélio
Data de Publicação: 2023
Outros Autores: Costa, Filipe, Ferreira, Tânia, Ávila, Paulo, Cruz-Cunha, Manuela, Ferreira, Luís, Putnik, Goran D., Bastos, João
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/85538
Resumo: In 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.
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spelling Data science for Industry 4.0 and sustainability: a survey and analysis based on open dataIndustry 4.0Data scienceSustainabilitySocial sustainability open dataOpen-source toolsIndustry 40Science & TechnologyIn 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.This 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.Multidisciplinary Digital Publishing InstituteUniversidade do MinhoCastro, HélioCosta, FilipeFerreira, TâniaÁvila, PauloCruz-Cunha, ManuelaFerreira, LuísPutnik, Goran D.Bastos, João2023-04-032023-04-03T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/85538engCastro, H.; Costa, F.; Ferreira, T.; Ávila, P.; Cruz-Cunha, M.; Ferreira, L.; Putnik, G.D.; Bastos, J. Data Science for Industry 4.0 and Sustainability: A Survey and Analysis Based on Open Data. Machines 2023, 11, 452. https://doi.org/10.3390/machines110404522075-170210.3390/machines11040452https://www.mdpi.com/2075-1702/11/4/452info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:09:17Zoai:repositorium.sdum.uminho.pt:1822/85538Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:00:40.635885Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Data science for Industry 4.0 and sustainability: a survey and analysis based on open data
title Data science for Industry 4.0 and sustainability: a survey and analysis based on open data
spellingShingle Data science for Industry 4.0 and sustainability: a survey and analysis based on open data
Castro, Hélio
Industry 4.0
Data science
Sustainability
Social sustainability open data
Open-source tools
Industry 4
0
Science & Technology
title_short Data science for Industry 4.0 and sustainability: a survey and analysis based on open data
title_full Data science for Industry 4.0 and sustainability: a survey and analysis based on open data
title_fullStr Data science for Industry 4.0 and sustainability: a survey and analysis based on open data
title_full_unstemmed Data science for Industry 4.0 and sustainability: a survey and analysis based on open data
title_sort Data science for Industry 4.0 and sustainability: a survey and analysis based on open data
author Castro, Hélio
author_facet Castro, Hélio
Costa, Filipe
Ferreira, Tânia
Ávila, Paulo
Cruz-Cunha, Manuela
Ferreira, Luís
Putnik, Goran D.
Bastos, João
author_role author
author2 Costa, Filipe
Ferreira, Tânia
Ávila, Paulo
Cruz-Cunha, Manuela
Ferreira, Luís
Putnik, Goran D.
Bastos, João
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Castro, Hélio
Costa, Filipe
Ferreira, Tânia
Ávila, Paulo
Cruz-Cunha, Manuela
Ferreira, Luís
Putnik, Goran D.
Bastos, João
dc.subject.por.fl_str_mv Industry 4.0
Data science
Sustainability
Social sustainability open data
Open-source tools
Industry 4
0
Science & Technology
topic Industry 4.0
Data science
Sustainability
Social sustainability open data
Open-source tools
Industry 4
0
Science & Technology
description In 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.
publishDate 2023
dc.date.none.fl_str_mv 2023-04-03
2023-04-03T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/85538
url https://hdl.handle.net/1822/85538
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Castro, H.; Costa, F.; Ferreira, T.; Ávila, P.; Cruz-Cunha, M.; Ferreira, L.; Putnik, G.D.; Bastos, J. Data Science for Industry 4.0 and Sustainability: A Survey and Analysis Based on Open Data. Machines 2023, 11, 452. https://doi.org/10.3390/machines11040452
2075-1702
10.3390/machines11040452
https://www.mdpi.com/2075-1702/11/4/452
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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