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dc.date.accessioned2021-12-02T20:45:57Z
dc.date.available2021-12-02T20:45:57Z
dc.date.issued2021-09-30es_MX
dc.identifier.isbn978-607-609-220-0es_MX
dc.identifier.urihttp://cathi.uacj.mx/20.500.11961/19461
dc.description.abstractThis research presents an innovative model associated with the human factor and its future change in Industry 4.0, considering a model of future competitiveness associated with a set of Pythagorean Fuzzy Topsis to determine the real impact of the effects of the Generation Z envelope on the use of this type of technology. Considering the radical evolution in the way working methods are conceived, the collaborative team structure based on technical knowledge, capable of creating and sustaining technological infrastructures. A Pythagorean Model is implemented to adequately model the competitiveness of a company associated with Industry 4.0 under a Blockchain Model. This paper applies a decision method under the paradigm of the Multicriteria Decision Making (MCDM) Theory under the perspective of fuzzy logic, to carry out the decision making in simulated environments. The fundamental contribution lies in the adaptation of this theory for this type of environment.es_MX
dc.description.urihttps://www.itson.mx/publicaciones/Documents/ingytec/Libro%20AN%C3%81LISIS%20LOG%C3%8DSTICO_compressed.pdfes_MX
dc.language.isospaes_MX
dc.publisherAsociación Mexicana de Logística & Cadena de Suministroes_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.subjectIntelligent forecastes_MX
dc.subjectHuman factores_MX
dc.subjectHolt-winterses_MX
dc.subjectPredictive numerical modeles_MX
dc.subjectCross correlationes_MX
dc.subject.otherinfo:eu-repo/classification/cti/7es_MX
dc.titleCompetitiveness model based on Pythagorean Fuzzy Topsis approach to establish the labor indicator in a future scenario of the Industry 4.0es_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.nopagina60-71es_MX
dcrupi.alcanceNacionales_MX
dcrupi.paisMéxicoes_MX
dc.identifier.doiNo Aplicaes_MX
dc.contributor.coauthorPerez Olguin, Ivan Juan Carlos
dc.contributor.coauthorMartinez Gomez, Erwin Adan
dcrupi.estadoPublicadoes_MX
dcrupi.titulolibroAnálisis Logístico: Un Enfoque Integrales_MX
dc.contributor.authorexternoBorunda Agular, María Inés
dcrupi.colaboracionextNo Aplicaes_MX
dc.contributor.alumnoprincipal187052es_MX
dcrupi.impactosocialNo Aplicaes_MX
dcrupi.vinculadoproyextNo Aplicaes_MX
dcrupi.pronacesEducaciónes_MX
dcrupi.vinculadoproyintNo Aplicaes_MX


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