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dc.contributor.authorLopez Osorio, Adrian Tetsuo
dc.contributor.authorVila Moretti, Nancy Francesca
dc.contributor.authorFlores Pérez, Alberto Enrique
dc.contributor.authorQuiroz Flores, Juan Carlos
dc.contributor.authorCollao Diaz, Martin Fidel
dc.contributor.otherFlores Pérez, Alberto Enrique
dc.contributor.otherQuiroz Flores, Juan Carlos
dc.contributor.otherCollao Diaz, Martin Fidel
dc.date.accessioned2023-02-14T16:31:50Z
dc.date.available2023-02-14T16:31:50Z
dc.date.issued2022
dc.identifier.citationLopez-Osorio, A. T., Vila-Moretti, N. F., Flores-Perez, A. E., Quiroz-Flores, J. C. & Collao-Diaz, M. F. (2022). Production Model Integrating TOC and Lean for Lead Time Reduction in Chemical Manufacturing: An Empirical Research in Peru. In 2022 The 9th International Conference on Industrial Engineering and Applications (Europe) (pp. 44-49. https://doi.org/10.1145/3523132.3523140.es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12724/17598
dc.descriptionIndexado en Scopuses_PE
dc.description.abstractThe chemical industry allows the creation of a wide range of products such as polymers, emulsions, among others. In the world, this sector generates $5.7 billion of the world's Gross Domestic Product (GDP), and in Peru it represents 1% of the national GDP. This article describes the implementation of an integrated system containing the Theory of Constraints (TOC) and Lean Manufacturing (5s and Single Minute Exchange of Die) for the reduction of the lead time in the production process of the RA-401 resin in a chemical SME in Peru. The general problem is analyzed through the Value Stream Mapping tool, where the root causes, the time of each activity, and the incidence of the worker are evidenced. The validation of the developed model was carried out in the stage of filling and labeling of 200 kg resin cylinders through Arena Simulator. The results showed that the processing lead time was reduced by 7.88%, cycle time by 7.94% and productivity was increased by 8.48%.es_PE
dc.language.isoenges_PE
dc.publisherAssociation for Computing Machineryes_PE
dc.relation.ispartofurn:isbn:978-145039605-9
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceRepositorio Institucional - Ulimaes_PE
dc.sourceUniversidad de Limaes_PE
dc.subjectIndustria químicaes_PE
dc.subjectProducción eficientees_PE
dc.subjectControl de procesoses_PE
dc.subjectChemical industryes_PE
dc.subjectLean manufacturinges_PE
dc.subjectProcess controles_PE
dc.titleProduction Model Integrating TOC and Lean for Lead Time Reduction in Chemical Manufacturing: An Empirical Research in Perues_PE
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.otherArtículo de conferencia en Scopuses_PE
ulima.areas.lineasdeinvestigacionDesarrollo empresarial / Operaciones y logísticaes_PE
dc.identifier.journalACM International Conference Proceeding Serieses_PE
dc.publisher.countryUSes_PE
dc.description.peer-reviewRevisión por pareses_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.11.04
dc.identifier.doihttps://doi.org/10.1145/3523132.3523140
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.contributor.studentLopez Osorio, Adrian Tetsuo (Ingeniería Industrial)
dc.contributor.studentVila Moretti, Nancy Francesca (Ingeniería Industrial)
ulima.cat009
ulima.autor.afiliacionFlores Pérez, Alberto Enrique (Facultad de Ingeniería y Arquitectura, Universidad de Lima)es_PE
ulima.autor.afiliacionQuiroz Flores, Juan Carlos (Facultad de Ingeniería y Arquitectura, Universidad de Lima)es_PE
ulima.autor.afiliacionCollao Diaz, Martin Fidel (Facultad de Ingeniería y Arquitectura, Universidad de Lima)es_PE
ulima.autor.carreraFlores Pérez, Alberto Enrique (Ingeniería Industrial)es_PE
ulima.autor.carreraQuiroz Flores, Juan Carlos (Ingeniería Industrial)es_PE
ulima.autor.carreraCollao Diaz, Martin Fidel (Ingeniería Industrial)es_PE


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