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A genetic algorithm approach for the scheduling in a robotic-centric flexible manufacturing system

dc.contributor.authorPereira, Ana I.
dc.contributor.authorFerreira, Adriano
dc.contributor.authorBarbosa, José
dc.contributor.authorLima, José
dc.contributor.authorLeitão, Paulo
dc.date.accessioned2018-02-23T15:25:07Z
dc.date.available2018-02-23T15:25:07Z
dc.date.issued2017
dc.description.abstractScheduling assumes a crucial importance in manufacturing systems, optimizing the allocation of operations to the right resources at the most appropriate time. Particularly in the Flexible Manufacturing System (FMS) topology, where the combination of possibilities for this association exponential increases, the scheduling task is even more critical. This paper presents a heuristic scheduling method based on genetic algorithm for a robotic-centric FMS. Real experiments show the effectiveness of the proposed algorithm, ensuring a reliable and optimized scheduling process.pt_PT
dc.description.sponsorshipThis work was funded by the ERDF European Regional Development Fund through the COMPETE Programme (operational programme for competitive-ness) and by National Funds through the FCT within projects SAICTPAC/0034/2015,POCI-01-0145-FEDER-016418, POCI-01-0145-FEDER-007043 and UID/CEC/00319/2013.
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPereira, Ana I.; Ferreira, Adriano; Barbosa, José; Lima, José; Leitão, Paulo (2017). A genetic algorithm approach for the scheduling in a robotic-centric flexible manufacturing system. In the 20th International Conference on CLAWAR 2017. Portopt_PT
dc.identifier.doi10.1142/9789813231047_0062pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/15962
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSchedulingpt_PT
dc.subjectRobotic-centric FMSpt_PT
dc.subjectGenetic algorithmspt_PT
dc.titleA genetic algorithm approach for the scheduling in a robotic-centric flexible manufacturing systempt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FCEC%2F00319%2F2013/PT
oaire.citation.conferencePlacePortopt_PT
oaire.citation.titlethe 20th International Conference on CLAWAR 2017pt_PT
oaire.fundingStream5876
person.familyNamePereira
person.familyNameFerreira
person.familyNameBarbosa
person.familyNameLima
person.familyNameLeitão
person.givenNameAna I.
person.givenNameAdriano
person.givenNameJosé
person.givenNameJosé
person.givenNamePaulo
person.identifier609187
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person.identifier.orcid0000-0003-3803-2043
person.identifier.orcid0000-0002-3680-1171
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person.identifier.orcid0000-0001-7902-1207
person.identifier.orcid0000-0002-2151-7944
person.identifier.ridF-3168-2010
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person.identifier.ridL-3370-2014
person.identifier.scopus-author-id15071961600
person.identifier.scopus-author-id7402999589
person.identifier.scopus-author-id48360905400
person.identifier.scopus-author-id55851941311
person.identifier.scopus-author-id35584388900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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