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dc.date.accessioned2021-11-24T20:07:30Z
dc.date.available2021-11-24T20:07:30Z
dc.date.issued2021-07-02es_MX
dc.identifier.isbn978-3-030-68663-5 (eBook)es_MX
dc.identifier.isbn978-3-030-68662-8es_MX
dc.identifier.urihttp://cathi.uacj.mx/20.500.11961/19234
dc.description.abstractThis paper presents an intelligent model which uses Artificial Intelligence within the Industry 4.0. It is of utmost importance to be able to choose the best supplier in order to identify a competitiveness model associated with the reduction of direct and indirect costs. The present investigation describes a novel Blockchain that uses big data for adequately determining critical factors of the purchasing department and then using a hashing model verifying and validating with real data from a manufacturing company as a components supplier within the automotive industry. This research focuses mainly on specifying the mathematical modelling involved in Blockchain and its implementation using innovative factors from the financial area.es_MX
dc.description.urihttps://doi.org/10.1007/978-3-030-68663-5es_MX
dc.language.isoen_USes_MX
dc.publisherSpringeres_MX
dc.relation.ispartofProducto de investigación IITes_MX
dc.relation.ispartofInstituto de Ingeniería y Tecnologíaes_MX
dc.rightsAtribución-NoComercial-SinDerivadas 2.5 México*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/mx/*
dc.subjectBlockchaines_MX
dc.subjectSupply chaines_MX
dc.subjectOptimal bid using artificial intelligencees_MX
dc.subject.otherinfo:eu-repo/classification/cti/7es_MX
dc.titleBlockchain Model Implementation to Select the Best Bid in an Industrial Supply Chaines_MX
dc.typeCapítulo de libroes_MX
dcterms.thumbnailhttp://ri.uacj.mx/vufind/thumbnails/rupiiit.pnges_MX
dcrupi.institutoInstituto de Ingeniería y Tecnologíaes_MX
dcrupi.cosechableSies_MX
dcrupi.subtipoInvestigaciónes_MX
dcrupi.nopagina291-314es_MX
dcrupi.alcanceInternacionales_MX
dcrupi.paisSwitzerlandes_MX
dc.identifier.doihttps://doi.org/10.1007/978-3-030-68663-5_19es_MX
dc.contributor.coauthorPerez Olguin, Ivan Juan Carlos
dc.contributor.coauthorMartinez Gomez, Erwin Adan
dcrupi.estadoChames_MX
dcrupi.titulolibroTechnological and Industrial Applications Associated With Industry 4.0es_MX
dc.contributor.authorexternoBorunda Agular, María Inés
dc.contributor.coauthorexternoOchoa, Gilberto
dcrupi.impactosocialNo Aplicaes_MX
dcrupi.vinculadoproyextNo Aplicaes_MX
dcrupi.pronacesEducaciónes_MX
dcrupi.vinculadoproyintNo Aplicaes_MX


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