Mostrar el registro sencillo del ítem

dc.contributor.advisorCollao Díaz, Martín Fidel
dc.contributor.authorValdivia Castro, Andrea Ximena
dc.contributor.authorVillavicencio Condor, Joselyn Estefanny
dc.date.accessioned2023-09-21T15:57:27Z
dc.date.available2023-09-21T15:57:27Z
dc.date.issued2023
dc.identifier.citationValdivia Castro, A. X. & Villavicencio Condor, J. E. (2023). Service model under the lean service and machine learning approach to increase external user satisfaction: a case study in the health sector smes in Peru [Tesis para optar el Título Profesional de Ingeniero Industrial, Universidad de Lima]. Repositorio institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/18991es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12724/18991
dc.description.abstractIn managing health services, one of the crucial factors is user satisfaction, from how the service is perceived and behaves to what is expected and what is obtained from the quality of care [1]. Furthermore, in good management, the processes that contribute more to care must be correctly established, knowing the needs of the public, having qualified medical staff, and knowing how to communicate effectively with patients [2]. In the Peruvian health sector, a per capita expenditure of $51 is recorded, which is lower than in most Latin American countries [3]. It shows that the budget execution for the sector has been low, according to the Peruvian Foreign Trade Society [4]; this influences the management of resources since it would not be investing to cover gaps such as human capital, infrastructure, and equipment.es_PE
dc.formatapplication/pdf
dc.language.isospa
dc.publisherUniversidad de Lima
dc.rightsinfo:eu-repo/semantics/openAccess*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.sourceRepositorio Institucional Ulima
dc.sourceUniversidad de Lima
dc.subjectServicios de saludes_PE
dc.subjectProducción eficientees_PE
dc.subjectMantenimiento productivo totales_PE
dc.subjectEstándares de desempeñoes_PE
dc.subjectAprendizaje automáticoes_PE
dc.subjectSatisfacción del clientees_PE
dc.subjectPequeñas y medianas empresases_PE
dc.subjectHealth serviceses_PE
dc.subjectLean manufacturinges_PE
dc.subjectTotal productive maintenancees_PE
dc.subjectPerformance standardses_PE
dc.subjectMachine learninges_PE
dc.subjectConsumer satisfactiones_PE
dc.subjectSmall businesses_PE
dc.subject.classificationIngeniería industrial / Tecnología de procesoses_PE
dc.titleService model under the lean service and machine learning approach to increase external user satisfaction: a case study in the health sector smes in Perues_PE
dc.typeinfo:eu-repo/semantics/bachelorThesis
thesis.degree.disciplineIngeniería Industrial
thesis.degree.grantorUniversidad de Lima. Facultad de Ingeniería y Arquitectura
thesis.degree.levelTítulo profesional
dc.type.otherTesis
thesis.degree.nameIngeniero Industrial
dc.publisher.countryPE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.11.04
renati.author.dni72922711
renati.author.dni76802670
renati.advisor.orcidhttps://orcid.org/0000-0001-6874-4629
renati.advisor.dni9481628
renati.jurorFlores Pérez, Alberto Enrique
renati.jurorCollao Díaz, Martín Fidel
renati.jurorQuiroz Flores, Juan Carlos
renati.levelhttp://purl.org/pe-repo/renati/level#tituloProfesional*
renati.typehttps://purl.org/pe-repo/renati/type#tesis*
renati.discipline722026
ulima.cat9
dc.identifier.isni121541816


Ficheros en el ítem

Thumbnail
Thumbnail
Thumbnail
Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

info:eu-repo/semantics/openAccess
Excepto si se señala otra cosa, la licencia del ítem se describe como info:eu-repo/semantics/openAccess