Repository logo
 
Publication

Manufacturing and Management Paradigms, Methods and Tools for Sustainable Industry 4.0-Oriented Manufacturing Systems

dc.contributor.authorVarela, Leonilde
dc.contributor.authorÁvila, Paulo
dc.contributor.authorCastro, Helio
dc.contributor.authorPutnik, Goran D.
dc.contributor.authorFonseca, Luís
dc.contributor.authorFerreira, Luís
dc.date.accessioned2022-05-13T09:56:55Z
dc.date.available2022-05-13T09:56:55Z
dc.date.issued2022-01-29
dc.description.abstractIn the current Industry 4.0 era (I4.0, for short) [1–3], manufacturing and management (M&M) paradigms, methods and tools should be wisely developed to fulfil sustainability issues, regarding not just economic but also social and environmental concerns by simultaneously fostering organizational efficiency excellence and transformational initiatives, therefore contributing to enduring business results.This Special Issue aims to provide new insights regarding manufacturing or management paradigms (strategies), methods, tools, and practices aligned with the contemporary necessity to create and implement sustainable I4.0 manufacturing systems. Each of the five selected papers of this Special Issue makes a novel contribution to that aim.pt_PT
dc.description.sponsorshipThis work was supported by national funds through the FCT—Fundação para a Ciência e Tecnologia through the R&D Units Project Scopes: UIDB/00319/2020, UIDB/50014/2020, and EXPL/EME-SIS/1224/2021.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationVarela, L.; Ávila, P.; Castro, H.; Putnik, G.D.; Fonseca, L.M.C.; Ferreira, L. Manufacturing and Management Paradigms, Methods and Tools for Sustainable Industry 4.0-Oriented Manufacturing Systems. Sustainability 2022, 14, 1574. https://doi.org/10.3390/ su14031574pt_PT
dc.identifier.doi10.3390/su14031574pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/20516
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationALGORITMI Research Center
dc.relationCollaborative Platform based on Data Normalization Techniques and Dynamic Fuzzy Multi-criteria approaches for Integrated Manufacturing and Maintenance Information Processing
dc.relationINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectManufacturingpt_PT
dc.subjectMethods and Tools for Sustainable Industry 4.0-Oriented Manufacturing Systemspt_PT
dc.subjectManagement Paradigmspt_PT
dc.titleManufacturing and Management Paradigms, Methods and Tools for Sustainable Industry 4.0-Oriented Manufacturing Systemspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleALGORITMI Research Center
oaire.awardTitleCollaborative Platform based on Data Normalization Techniques and Dynamic Fuzzy Multi-criteria approaches for Integrated Manufacturing and Maintenance Information Processing
oaire.awardTitleINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/EXPL%2FEME-SIS%2F1224%2F2021/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50014%2F2020/PT
oaire.citation.issue3pt_PT
oaire.citation.startPage1574pt_PT
oaire.citation.titleSustainabilitypt_PT
oaire.citation.volume14pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream3599-PPCDT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameÁvila
person.familyNameCastro
person.familyNameFonseca
person.givenNamePaulo
person.givenNameHelio
person.givenNameLuis
person.identifier631747
person.identifier.ciencia-id5F17-10EE-C0CE
person.identifier.ciencia-idDA12-4855-5FAE
person.identifier.orcid0000-0001-8420-0875
person.identifier.orcid0000-0001-5712-9954
person.identifier.orcid0000-0001-5668-0656
person.identifier.ridE-2348-2019
person.identifier.ridL-4285-2014
person.identifier.scopus-author-id8609138000
person.identifier.scopus-author-id55175839700
person.identifier.scopus-author-id56356558600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication444efa0f-ca28-4743-8e78-7d31b0abde47
relation.isAuthorOfPublication21b8fcc5-040e-4238-91e5-499ec0cc0bff
relation.isAuthorOfPublication7fc78bf1-1399-4460-8ee9-0bccbf304291
relation.isAuthorOfPublication.latestForDiscovery444efa0f-ca28-4743-8e78-7d31b0abde47
relation.isProjectOfPublicationc9f04b82-b1b1-46ea-b7f6-87f447dd79f0
relation.isProjectOfPublicationb63c68a9-bd41-47af-8005-a9a216dcf5e2
relation.isProjectOfPublication7a2d9a82-ee07-4c57-bbbf-2d88b942688d
relation.isProjectOfPublication.latestForDiscoveryb63c68a9-bd41-47af-8005-a9a216dcf5e2

Files

Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
ART_CIDEM_lmf_2022.pdf
Size:
217.15 KB
Format:
Adobe Portable Document Format
No Thumbnail Available
Name:
license.txt
Size:
1.74 KB
Format:
Item-specific license agreed upon to submission