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Literature review on autonomous production control methods

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dc.contributor.authorMartins, Luis
dc.contributor.authorVarela, Leonilde
dc.contributor.authorFernandes, Nuno O.
dc.contributor.authorSilva, Sílvio do Carmo
dc.contributor.authorMachado, José
dc.date.accessioned2020-12-11T17:17:13Z
dc.date.available2020-12-11T17:17:13Z
dc.date.issued2020
dc.description.abstractProduction environments are becoming more complex and dynamics. This is influenced by external factors related with products’ characteristics and costumers’ requirements and internal factors related with processing times variability, machine failures, setup times, between others. To face this increasing complexity and dynamics, it is crucial to have effective production control methods, considering Interoperability Enablers for Cyber-Physical Systems. However, production control methods most in used today, are focused on centralised decision-making and planning, and considered inadequate to deal with the increasing dynamics of these systems. Autonomous Production Control (APC) may be an adequate alternative to face this complexity, allowing flexible and rapid reaction to possible disturbances that may occur in the production system. However, as APC is the relatively new concept, there are no existing surveys. Therefore, we review and discuss the literature on APC methods to bring more attention to this promising topic of research, highlighting future research directions.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMARTINS, Kuís [et al.] (2020) - Literature review on autonomous production control methods, Enterprise Information Systems, 14:8, 1219-1231, DOI: 10.1080/17517575.2020.1731611pt_PT
dc.identifier.doi10.1080/17517575.2020.1731611pt_PT
dc.identifier.issn0020-7543
dc.identifier.urihttp://hdl.handle.net/10400.11/7353
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherTaylor and Francispt_PT
dc.relationALGORITMI Research Centre
dc.relation.publisherversionhttps://www.tandfonline.com/doi/ref/10.1080/17517575.2020.1731611?scroll=toppt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAutonomous production controlpt_PT
dc.subjectIndustry 4.0pt_PT
dc.subjectCyber-physical systemspt_PT
dc.subjectLiterature reviewpt_PT
dc.titleLiterature review on autonomous production control methodspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleALGORITMI Research Centre
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FCEC%2F00319%2F2019/PT
oaire.citation.endPage1231pt_PT
oaire.citation.issue8pt_PT
oaire.citation.startPage1219pt_PT
oaire.citation.titleEnterprise Information Systemspt_PT
oaire.citation.volume14pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFernandes
person.familyNameMachado
person.givenNameNuno
person.givenNameJosé
person.identifier174718
person.identifier.ciencia-idD211-6272-AF3B
person.identifier.ciencia-idEC15-FB4B-70B6
person.identifier.orcid0000-0002-4682-1790
person.identifier.orcid0000-0002-4917-2474
person.identifier.ridL-9312-2013
person.identifier.scopus-author-id14064512000
person.identifier.scopus-author-id55936466500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
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