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dc.contributor.authorAmbrosio Flores, Kevin Luis
dc.contributor.authorLazo de la Vega Baca, Maria Fernanda
dc.contributor.authorQuiroz Flores, Juan Carlos
dc.contributor.authorCabrera Gil Grados, Ezilda María
dc.contributor.otherQuiroz Flores, Juan Carlos
dc.contributor.otherCabrera Gil Grados, Ezilda María
dc.date.accessioned2023-03-27T13:42:45Z
dc.date.available2023-03-27T13:42:45Z
dc.date.issued2022
dc.identifier.citationAmbrosio-Flores, K. L., Lazo-de-la-Vega-Baca, M., Quiroz-Flores, J. C. & Cabrera-Gil-Grados, E. (2022). Warehouse management model integrating BPM-Lean Warehousing to increase order fulfillment in SME distribution companies. In Proceedings of the 8th International Engineering, Sciences and Technology Conference, IESTEC 2022, Panama, Panama, October 2022, 17-24. https://doi.org/10.1109/IESTEC54539.2022.00012es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12724/17970
dc.description.abstractIn many cases, warehouse logistics in the distribution SMEs usually do not have a standardization, structure, and methodology for the reception, storage, and dispatch. Most of the flows within the warehouse tend to occur over time, but there is no feedback or a choice of logistics tools to make it more efficient. This lack of tools causes problems such as a non-existent flow of information, a lack of warehouse organization, inventory control, and a non-existent work protocol. These problems cause the customer satisfaction index to shallow since mishaps usually occur during order delivery. The general objective of this research is to increase the indicator of complete orders, so the root causes of the problem are identified and quantified. After that, a model based on implementing Lean Warehousing tools such as multi-criteria ABC, 5S, Kardex and work standardization, and BPM methodology was also applied. Subsequently, the model's reliability was guaranteed using a simulation through Arena software and a pilot test. Finally, the model increased the indicator of orders entirely delivered by 12%. Likewise, as a secondary consequence, other indicators were increased: inventory record accuracy, location registration accuracy, coverage, cycle time, and productivity by 16%, 32%, 57%, 3%, and 24%, respectively.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherIEEEes_PE
dc.relation.ispartofurn:isbn: 978-166549843-2
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceRepositorio Institucional Ulimaes_PE
dc.sourceUniversidad de Limaes_PE
dc.subjectAlmaceneses_PE
dc.subjectGestión de almaceneses_PE
dc.subjectDistribución comerciales_PE
dc.subjectPequeñas y medianas empresases_PE
dc.subjectWarehouseses_PE
dc.subjectWarehouses managementes_PE
dc.subjectPhysical distribution of goodses_PE
dc.subjectSmall and medium-sized enterpriseses_PE
dc.titleWarehouse management model integrating BPM-Lean Warehousing to increase order fulfillment in SME distribution companieses_PE
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.otherArtículo de conferencia en Scopus
ulima.areas.lineasdeinvestigacionDesarrollo empresarial / Operaciones y logísticaes_PE
dc.identifier.journalInternational Engineering, Sciences and Technology Conference (IESTEC)en_EN
dc.publisher.countryUSes_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.11.04
dc.identifier.doihttps://doi.org/10.1109/IESTEC54539.2022.00012
dc.contributor.studentAmbrosio Flores, Kevin Luis
dc.contributor.studentLazo de la Vega Baca, Maria Fernanda (Ingeniería Industrial)
ulima.cat9
ulima.autor.afiliacionQuiroz Flores, Juan Carlos (Universidad de Lima, Facultad de Ingeniería y Arquitectura) (Scopus)es_PE
ulima.autor.afiliacionCabrera Gil Grados, Ezilda María (Universidad de Lima, Facultad de Ingeniería y Arquitectura) (Scopus)es_PE
ulima.autor.carreraQuiroz Flores, Juan Carlos (Ingeniería Industrial)es_PE
ulima.autor.carreraCabrera Gil Grados, Ezilda María (Ingeniería Industrial)es_PE
dc.identifier.scopusid2-s2.0-85149401755


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