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dc.contributor.authorQuiroz Flores, Juan Carlos
dc.contributor.authorCaso Vicente, Katterin Jennyfer
dc.contributor.authorGalarreta Bellido, Marina Elvira
dc.contributor.otherQuiroz Flores, Juan Carlos
dc.date.accessioned2023-11-29T17:07:59Z
dc.date.available2023-11-29T17:07:59Z
dc.date.issued2023
dc.identifier.citationQuiroz-Flores, J. C., Caso-Vicente, K. & Galarreta-Bellido, M. (2023). Service model based on lean tools to improve order fulfillment rate in a SMEs in the commercial sector. In Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023, Buenos Aires, Argentina, July 2023. https://laccei.org/LACCEI2023-BuenosAires/meta/FP113.htmles_PE
dc.identifier.issn2414-6390
dc.identifier.urihttps://hdl.handle.net/20.500.12724/19451
dc.description.abstractThe commercial sector has been growing steadily in recent years. However, there are problems within logistics that are detrimental to customer satisfaction; the objective of companies is to deliver orders on time and avoid large losses. That said, in the present research, the problem that generates the greatest economic losses for the company is the high percentage of unfulfilled orders. The objective is to reduce the technical gap of unfulfilled orders by implementing a model based on the Lean methodology, through the application of 5S, ABC and Kanban; achieving the improvement of the objectives of the proposed indicators. The research focuses on a warehouse where the root causes of the problem are identified and quantified, to subsequently attack them through Lean tools. Finally, through the use of Arena software simulation, it was demonstrated that the proposed model achieves a reduction of 38.8%, 12.32% and 47.23% in picking times, registration to the system and total simulation time, respectively, thus improving the fulfillment of deliveries to the customer until reaching the target of 5%.es_PE
dc.formatapplication/htmles_PE
dc.language.isoenges_PE
dc.publisherLatin American and Caribbean Consortium of Engineering Institutionses_PE
dc.relation.ispartofurn:issn: 2414-6390
dc.relation.ispartofurn:isbn: 978-628952074-3
dc.relation.urihttps://laccei.org/LACCEI2023-BuenosAires/meta/FP113.html
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceRepositorio Institucional - Ulimaes_PE
dc.sourceUniversidad de Limaes_PE
dc.subjectServicio al clientees_PE
dc.subjectPequeñas y medianas empresases_PE
dc.subjectLogística empresariales_PE
dc.subjectCustomer serviceses_PE
dc.subjectBusiness logisticses_PE
dc.subjectSmall and medium-sized enterpriseses_PE
dc.titleService model based on lean tools to improve order fulfillment rate in a SMEs in the commercial sectores_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.journalProceedings of the LACCEI international Multi-conference for Engineering, Education and Technologyes_PE
dc.publisher.countryUSes_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.11.04es_PE
dc.identifier.doihttps://dx.doi.org/10.18687/LACCEI2023.1.1.113
dc.contributor.studentCaso Vicente, Katterin Jennyfer (Ingeniería Industrial)
dc.contributor.studentGalarreta Bellido, Marina Elvira (Ingeniería Industrial)
ulima.cat9
ulima.autor.afiliacionQuiroz Flores, Juan Carlos (Facultad de Ingeniería, Carrera de Ingeniería Industrial, Universidad de Lima)es_PE
ulima.autor.carreraQuiroz Flores, Juan Carlos (Ingeniería Industrial)es_PE


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