Please use this identifier to cite or link to this item: http://repositorio.unitau.br/jspui/handle/20.500.11874/2038
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dc.contributor.authorSouza, Edson Melo dept_BR
dc.contributor.authorCoppini, Nivaldo Lemospt_BR
dc.contributor.authorBaptista, Elesandro Antoniopt_BR
dc.contributor.authorRosa, Aparecida de Fátima Castellopt_BR
dc.contributor.authorLacerda, Felipe Soarespt_BR
dc.date.accessioned2019-09-12T16:32:45Z-
dc.date.available2019-09-12T16:32:45Z-
dc.date.issued2014-
dc.citation.volume12pt_BR
dc.citation.issue6pt_BR
dc.citation.spage1169-
dc.citation.epage1175-
dc.identifier.doi10.1109/TLA.2014.6894016pt_BR
dc.identifier.issn15480992-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84959539629&doi=10.1109%2fTLA.2014.6894016&partnerID=40&md5=3cd6fe53ded96a8c10266003fceb0dcf-
dc.identifier.urihttp://repositorio.unitau.br/jspui/handle/20.500.11874/2038-
dc.description6894016pt_BR
dc.description.abstractManufacturing cost minimization and productivity maximization are essential for the machining industries sector to survive in the market. The production shop floor is a source of achieving strategic data, providing information to assist cutting processes optimization and better help to use equipment and resources efficiently. In this sense, the objective of this work is to present the development of a New Cutting Process Operational and Decision Support System which is following the most modern computational architecture (this system is being known in Portuguese as SIAPU. The system development is being based on new optimization cutting process approaches. The expectation is that the system offers features as practicability, usability, mobility, beyond contain a help system intuitive on-line. Finally, this work has concluded that the use of the system in industry shop floor can contribute as a remarkable tool to minimize costs or maximize productivity, given to the industries, an opportunity to look for larger profits. © 2003-2012 IEEE.en
dc.description.provenanceMade available in DSpace on 2019-09-12T16:32:45Z (GMT). No. of bitstreams: 0 Previous issue date: 2014en
dc.languagePortuguêspt_BR
dc.publisherIEEE Computer Society-
dc.relation.ispartofIEEE Latin America Transactions-
dc.rightsAcesso Restritopt_BR
dc.sourceScopuspt_BR
dc.subject.othercutting processen
dc.subject.otherdecision support systemen
dc.subject.otheroperational support systemen
dc.subject.otheroptimizationen
dc.subject.otherArtificial intelligenceen
dc.subject.otherCutting equipmenten
dc.subject.otherCutting toolsen
dc.subject.otherFloorsen
dc.subject.otherOptimizationen
dc.subject.otherProductivityen
dc.subject.otherComputational architectureen
dc.subject.otherCutting processen
dc.subject.otherHelp systemsen
dc.subject.otherManufacturing costen
dc.subject.otherOperational support systemsen
dc.subject.otherProduction shopsen
dc.subject.otherStrategic dataen
dc.subject.otherSystem developmenten
dc.subject.otherDecision support systemsen
dc.titleNew Operational and Decision Support System for Cutting Process Optimizationen
dc.typeArtigo de Periódicopt_BR
dc.description.affiliationDe Souza, E.M., Universidade Nove de Julho (Uninove), São Paulo, São Paulo, Brazil-
dc.description.affiliationCoppini, N.L., Universidade de Taubaté (Unitau), Taubaté, São Paulo, Brazil-
dc.description.affiliationBaptista, E.A., Universidade Nove de Julho (Uninove), São Paulo, São Paulo, Brazil-
dc.description.affiliationRosa, A.F.C., Universidade Nove de Julho (Uninove), São Paulo, São Paulo, Brazil-
dc.description.affiliationLacerda, F.S., Universidade de Taubaté (Unitau), Taubaté, São Paulo, Brazil-
dc.identifier.scopus2-s2.0-84959539629-
dc.contributor.scopus55561358000pt_BR
dc.contributor.scopus6506782812pt_BR
dc.contributor.scopus6603172700pt_BR
dc.contributor.scopus57150093500pt_BR
dc.contributor.scopus57150772900pt_BR
Appears in Collections:Artigos de Periódicos

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