Picking Optimization in a Peruvian SMEs Based on Lean Warehousing Techniques
Descripción del Articulo
Picking is a basic process within warehouse management, comprising the activities carried out since the order is received until the products are located in the warehouse and are ready for dispatch. The objective of this study was to optimize the productivity of the picking process in a Peruvian food...
Autores: | , |
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Formato: | tesis de grado |
Fecha de Publicación: | 2023 |
Institución: | Universidad de Lima |
Repositorio: | ULIMA-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.ulima.edu.pe:20.500.12724/19141 |
Enlace del recurso: | https://hdl.handle.net/20.500.12724/19141 |
Nivel de acceso: | acceso abierto |
Materia: | Sistemas de preparación de pedidos Pequeñas y medianas empresas Producción eficiente Procesos de manufactura Gestión de almacenes Order picking systems Small business Lean manufacturing Manufacturing processes Warehouses management https://purl.org/pe-repo/ocde/ford#2.11.04 |
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dc.title.es_PE.fl_str_mv |
Picking Optimization in a Peruvian SMEs Based on Lean Warehousing Techniques |
title |
Picking Optimization in a Peruvian SMEs Based on Lean Warehousing Techniques |
spellingShingle |
Picking Optimization in a Peruvian SMEs Based on Lean Warehousing Techniques Barrantes Rosas, Daniela Sistemas de preparación de pedidos Pequeñas y medianas empresas Producción eficiente Procesos de manufactura Gestión de almacenes Order picking systems Small business Lean manufacturing Manufacturing processes Warehouses management https://purl.org/pe-repo/ocde/ford#2.11.04 |
title_short |
Picking Optimization in a Peruvian SMEs Based on Lean Warehousing Techniques |
title_full |
Picking Optimization in a Peruvian SMEs Based on Lean Warehousing Techniques |
title_fullStr |
Picking Optimization in a Peruvian SMEs Based on Lean Warehousing Techniques |
title_full_unstemmed |
Picking Optimization in a Peruvian SMEs Based on Lean Warehousing Techniques |
title_sort |
Picking Optimization in a Peruvian SMEs Based on Lean Warehousing Techniques |
author |
Barrantes Rosas, Daniela |
author_facet |
Barrantes Rosas, Daniela Galdos Serra, Maria Belen |
author_role |
author |
author2 |
Galdos Serra, Maria Belen |
author2_role |
author |
dc.contributor.advisor.fl_str_mv |
Ruiz Ruiz, Marcos Fernando |
dc.contributor.author.fl_str_mv |
Barrantes Rosas, Daniela Galdos Serra, Maria Belen |
dc.subject.es_PE.fl_str_mv |
Sistemas de preparación de pedidos Pequeñas y medianas empresas Producción eficiente Procesos de manufactura Gestión de almacenes Order picking systems Small business Lean manufacturing Manufacturing processes Warehouses management |
topic |
Sistemas de preparación de pedidos Pequeñas y medianas empresas Producción eficiente Procesos de manufactura Gestión de almacenes Order picking systems Small business Lean manufacturing Manufacturing processes Warehouses management https://purl.org/pe-repo/ocde/ford#2.11.04 |
dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#2.11.04 |
description |
Picking is a basic process within warehouse management, comprising the activities carried out since the order is received until the products are located in the warehouse and are ready for dispatch. The objective of this study was to optimize the productivity of the picking process in a Peruvian food company. For this purpose, a pre-test and post-test methodology was designed with a qualitative and descriptive approach in order to suggest an innovative proposal. Lean Warehousing techniques, such as 5s and Systematic Layout Planning (SLP) were utilized, as well as an inventory record automation model and ADKAR, a change management model. The proposal was validated through pilot tests and a simulation in the Arena software (16.1 version), proving its effectiveness in increasing productivity by more than 36%. The value of this study lies in that it can be applied both in companies in the same sector or other areas that have their own warehouse and want to increase its productivity. |
publishDate |
2023 |
dc.date.accessioned.none.fl_str_mv |
2023-10-27T19:29:34Z |
dc.date.available.none.fl_str_mv |
2023-10-27T19:29:34Z |
dc.date.issued.fl_str_mv |
2023 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/bachelorThesis |
dc.type.other.none.fl_str_mv |
Tesis |
format |
bachelorThesis |
dc.identifier.citation.es_PE.fl_str_mv |
Barrantes Rosas, D. & Galdos Serra, M. B. (2023). Picking Optimization in a Peruvian SMEs Based on Lean Warehousing Techniques [Tesis para optar el Título Profesional de Ingeniero Industrial, Universidad de Lima]. Repositorio institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/19141 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12724/19141 |
dc.identifier.isni.none.fl_str_mv |
121541816 |
identifier_str_mv |
Barrantes Rosas, D. & Galdos Serra, M. B. (2023). Picking Optimization in a Peruvian SMEs Based on Lean Warehousing Techniques [Tesis para optar el Título Profesional de Ingeniero Industrial, Universidad de Lima]. Repositorio institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/19141 121541816 |
url |
https://hdl.handle.net/20.500.12724/19141 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.fl_str_mv |
SUNEDU |
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/ |
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application/pdf |
dc.publisher.none.fl_str_mv |
Universidad de Lima |
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PE |
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Universidad de Lima |
dc.source.none.fl_str_mv |
Repositorio Institucional - Ulima Universidad de Lima reponame:ULIMA-Institucional instname:Universidad de Lima instacron:ULIMA |
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Universidad de Lima |
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Ruiz Ruiz, Marcos FernandoBarrantes Rosas, DanielaGaldos Serra, Maria Belen2023-10-27T19:29:34Z2023-10-27T19:29:34Z2023Barrantes Rosas, D. & Galdos Serra, M. B. (2023). Picking Optimization in a Peruvian SMEs Based on Lean Warehousing Techniques [Tesis para optar el Título Profesional de Ingeniero Industrial, Universidad de Lima]. Repositorio institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/19141https://hdl.handle.net/20.500.12724/19141121541816Picking is a basic process within warehouse management, comprising the activities carried out since the order is received until the products are located in the warehouse and are ready for dispatch. The objective of this study was to optimize the productivity of the picking process in a Peruvian food company. For this purpose, a pre-test and post-test methodology was designed with a qualitative and descriptive approach in order to suggest an innovative proposal. Lean Warehousing techniques, such as 5s and Systematic Layout Planning (SLP) were utilized, as well as an inventory record automation model and ADKAR, a change management model. The proposal was validated through pilot tests and a simulation in the Arena software (16.1 version), proving its effectiveness in increasing productivity by more than 36%. The value of this study lies in that it can be applied both in companies in the same sector or other areas that have their own warehouse and want to increase its productivity.application/pdfengUniversidad de LimaPEinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/Repositorio Institucional - UlimaUniversidad de Limareponame:ULIMA-Institucionalinstname:Universidad de Limainstacron:ULIMASistemas de preparación de pedidosPequeñas y medianas empresasProducción eficienteProcesos de manufacturaGestión de almacenesOrder picking systemsSmall businessLean manufacturingManufacturing processesWarehouses managementhttps://purl.org/pe-repo/ocde/ford#2.11.04Picking Optimization in a Peruvian SMEs Based on Lean Warehousing Techniquesinfo:eu-repo/semantics/bachelorThesisTesisSUNEDUTítulo ProfesionalIngeniería IndustrialUniversidad de Lima. 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Nota importante:
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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).