Model to Increase the Level of Service Using the 5S Tools, Work Standardization, SLP and Demand Forecasting in a Peruvian Quick Commerce SME
Descripción del Articulo
The digital sales market has grown significantly in recent years, especially during the global pandemic. Quick commerce companies have gained popularity due to their ability to provide quality products at the customer's doorstep in a short amount of time. To remain competitive in this industry,...
Autores: | , , , |
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Formato: | objeto de conferencia |
Fecha de Publicación: | 2023 |
Institución: | Universidad de Lima |
Repositorio: | ULIMA-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.ulima.edu.pe:20.500.12724/19483 |
Enlace del recurso: | https://hdl.handle.net/20.500.12724/19483 https://doi.org/10.18178/wcse.2023.06.057 |
Nivel de acceso: | acceso abierto |
Materia: | Gestión de almacenes Producción eficiente Ferreterías Warehouse management Lean manufacturing Hardware stores https://purl.org/pe-repo/ocde/ford#5.02.04 |
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Cueto Santander, Daniela FernandaCueto Castañeda, Sebastián ÁlvaroQuiroz Flores, Juan CarlosFlores Pérez, Alberto EnriqueQuiroz Flores, Juan CarlosFlores Pérez, Alberto EnriqueCueto Santander, Daniela Fernanda (Ingeniería Industrial)Cueto Castañeda, Sebastián Álvaro (Ingeniería Industrial)2023-12-13T17:08:14Z2023-12-13T17:08:14Z2023Cueto Santander, D., Cueto Castañeda, S., Quiroz Flores, J. C., & Flores Pérez, A. (2023). Model to Increase the Level of Service Using the 5S Tools, Work Standardization, SLP and Demand Forecasting in a Peruvian Quick Commerce SME. In Proceedings of the 13th International Workshop on Computer Science and Engineering (WCSE 2023). https://doi.org/10.18178/wcse.2023.06.057https://hdl.handle.net/20.500.12724/1948313th International Workshop on Computer Science and Engineering, WCSE 2023https://doi.org/10.18178/wcse.2023.06.0572-s2.0-85176393760The digital sales market has grown significantly in recent years, especially during the global pandemic. Quick commerce companies have gained popularity due to their ability to provide quality products at the customer's doorstep in a short amount of time. To remain competitive in this industry, companies must maintain their delivery time and provide excellent service. This study aims to optimize the processes of a quick commerce company by applying four selected tools. The goal is to complete the highest number of orders within the first 15 minutes of placing an order. The proposed model includes demand forecasting, systematic layout planning, 5's, and work standardization, resulting in an 18.6% increase in the service level. This model can be replicated by other companies in the industry and serve as a basis for further research.application/htmlengUniversity of Houston-DowntownUSurn:isbn: 978-981187950-0info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/Repositorio Institucional - UlimaUniversidad de Limareponame:ULIMA-Institucionalinstname:Universidad de Limainstacron:ULIMAGestión de almacenesProducción eficienteFerreteríasWarehouse managementLean manufacturingHardware storeshttps://purl.org/pe-repo/ocde/ford#5.02.04Model to Increase the Level of Service Using the 5S Tools, Work Standardization, SLP and Demand Forecasting in a Peruvian Quick Commerce SMEinfo:eu-repo/semantics/conferenceObjectArtículo de conferencia en ScopusQuiroz Flores, Juan Carlos (Ingeniería Industrial)Flores Pérez, Alberto Enrique (Ingeniería Industrial)Quiroz Flores, Juan Carlos (Facultad de Ingeniería, Industrial Engineering Career, Universidad de Lima)Flores Pérez, Alberto Enrique (Facultad de Ingeniería, Industrial Engineering Career, Universidad de Lima)920.500.12724/19483oai:repositorio.ulima.edu.pe:20.500.12724/194832025-03-06 19:37:44.547Repositorio Universidad de Limarepositorio@ulima.edu.pe |
dc.title.none.fl_str_mv |
Model to Increase the Level of Service Using the 5S Tools, Work Standardization, SLP and Demand Forecasting in a Peruvian Quick Commerce SME |
title |
Model to Increase the Level of Service Using the 5S Tools, Work Standardization, SLP and Demand Forecasting in a Peruvian Quick Commerce SME |
spellingShingle |
Model to Increase the Level of Service Using the 5S Tools, Work Standardization, SLP and Demand Forecasting in a Peruvian Quick Commerce SME Cueto Santander, Daniela Fernanda Gestión de almacenes Producción eficiente Ferreterías Warehouse management Lean manufacturing Hardware stores https://purl.org/pe-repo/ocde/ford#5.02.04 |
title_short |
Model to Increase the Level of Service Using the 5S Tools, Work Standardization, SLP and Demand Forecasting in a Peruvian Quick Commerce SME |
title_full |
Model to Increase the Level of Service Using the 5S Tools, Work Standardization, SLP and Demand Forecasting in a Peruvian Quick Commerce SME |
title_fullStr |
Model to Increase the Level of Service Using the 5S Tools, Work Standardization, SLP and Demand Forecasting in a Peruvian Quick Commerce SME |
title_full_unstemmed |
Model to Increase the Level of Service Using the 5S Tools, Work Standardization, SLP and Demand Forecasting in a Peruvian Quick Commerce SME |
title_sort |
Model to Increase the Level of Service Using the 5S Tools, Work Standardization, SLP and Demand Forecasting in a Peruvian Quick Commerce SME |
author |
Cueto Santander, Daniela Fernanda |
author_facet |
Cueto Santander, Daniela Fernanda Cueto Castañeda, Sebastián Álvaro Quiroz Flores, Juan Carlos Flores Pérez, Alberto Enrique |
author_role |
author |
author2 |
Cueto Castañeda, Sebastián Álvaro Quiroz Flores, Juan Carlos Flores Pérez, Alberto Enrique |
author2_role |
author author author |
dc.contributor.other.none.fl_str_mv |
Quiroz Flores, Juan Carlos Flores Pérez, Alberto Enrique |
dc.contributor.student.none.fl_str_mv |
Cueto Santander, Daniela Fernanda (Ingeniería Industrial) Cueto Castañeda, Sebastián Álvaro (Ingeniería Industrial) |
dc.contributor.author.fl_str_mv |
Cueto Santander, Daniela Fernanda Cueto Castañeda, Sebastián Álvaro Quiroz Flores, Juan Carlos Flores Pérez, Alberto Enrique |
dc.subject.es_PE.fl_str_mv |
Gestión de almacenes Producción eficiente Ferreterías Warehouse management Lean manufacturing Hardware stores |
topic |
Gestión de almacenes Producción eficiente Ferreterías Warehouse management Lean manufacturing Hardware stores https://purl.org/pe-repo/ocde/ford#5.02.04 |
dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#5.02.04 |
description |
The digital sales market has grown significantly in recent years, especially during the global pandemic. Quick commerce companies have gained popularity due to their ability to provide quality products at the customer's doorstep in a short amount of time. To remain competitive in this industry, companies must maintain their delivery time and provide excellent service. This study aims to optimize the processes of a quick commerce company by applying four selected tools. The goal is to complete the highest number of orders within the first 15 minutes of placing an order. The proposed model includes demand forecasting, systematic layout planning, 5's, and work standardization, resulting in an 18.6% increase in the service level. This model can be replicated by other companies in the industry and serve as a basis for further research. |
publishDate |
2023 |
dc.date.accessioned.none.fl_str_mv |
2023-12-13T17:08:14Z |
dc.date.available.none.fl_str_mv |
2023-12-13T17:08:14Z |
dc.date.issued.fl_str_mv |
2023 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
dc.type.other.none.fl_str_mv |
Artículo de conferencia en Scopus |
format |
conferenceObject |
dc.identifier.citation.es_PE.fl_str_mv |
Cueto Santander, D., Cueto Castañeda, S., Quiroz Flores, J. C., & Flores Pérez, A. (2023). Model to Increase the Level of Service Using the 5S Tools, Work Standardization, SLP and Demand Forecasting in a Peruvian Quick Commerce SME. In Proceedings of the 13th International Workshop on Computer Science and Engineering (WCSE 2023). https://doi.org/10.18178/wcse.2023.06.057 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12724/19483 |
dc.identifier.event.none.fl_str_mv |
13th International Workshop on Computer Science and Engineering, WCSE 2023 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.18178/wcse.2023.06.057 |
dc.identifier.scopusid.none.fl_str_mv |
2-s2.0-85176393760 |
identifier_str_mv |
Cueto Santander, D., Cueto Castañeda, S., Quiroz Flores, J. C., & Flores Pérez, A. (2023). Model to Increase the Level of Service Using the 5S Tools, Work Standardization, SLP and Demand Forecasting in a Peruvian Quick Commerce SME. In Proceedings of the 13th International Workshop on Computer Science and Engineering (WCSE 2023). https://doi.org/10.18178/wcse.2023.06.057 13th International Workshop on Computer Science and Engineering, WCSE 2023 2-s2.0-85176393760 |
url |
https://hdl.handle.net/20.500.12724/19483 https://doi.org/10.18178/wcse.2023.06.057 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
urn:isbn: 978-981187950-0 |
dc.rights.*.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.*.fl_str_mv |
https://creativecommons.org/licenses/by-nc-sa/4.0/ |
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openAccess |
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https://creativecommons.org/licenses/by-nc-sa/4.0/ |
dc.format.none.fl_str_mv |
application/html |
dc.publisher.none.fl_str_mv |
University of Houston-Downtown |
dc.publisher.country.es_PE.fl_str_mv |
US |
publisher.none.fl_str_mv |
University of Houston-Downtown |
dc.source.es_PE.fl_str_mv |
Repositorio Institucional - Ulima Universidad de Lima |
dc.source.none.fl_str_mv |
reponame:ULIMA-Institucional instname:Universidad de Lima instacron:ULIMA |
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Universidad de Lima |
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12.884314 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).