Localization System for Optimization of Picking in a Manual Warehouse

Detalhes bibliográficos
Autor(a) principal: Pereira, Maria Teresa
Data de Publicação: 2019
Outros Autores: Sousa, J.M.C., Ferreira, Luís Pinto, Sá, José Carlos, Silva, F.J.G.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/15800
Resumo: Inbound logistics assumes increasing importance in retail operations, because there are usually hidden inefficiencies that contribute to higher labour costs and more time spent in the usual procedures in warehouses. The work developed was carried out in a manual warehouse of a retail company, with the main goal being the optimization of picking tasks and the improvement of the warehouse operations, as well as stock management. The solution is based on the development and implementation of a localization system, to reduce one of the most time-consuming components of picking, the search time for products in the warehouse. This application led to a reduction of this unproductive time by 93% to 100%, meaning the complete elimination of this component, which led to an optimization of the picking activity, by increasing the warehouse preparation capacity by 63%. Apart from the software upgrade, the operators now use Personal Digital Assistants to perform and validate the picking of items, increasing the accuracy of picking and the traceability of stock.
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spelling Localization System for Optimization of Picking in a Manual WarehouseLogisticsSupply Chain ManagementStock ManagementContinuous ImprovementPerformance MonitoringInbound logistics assumes increasing importance in retail operations, because there are usually hidden inefficiencies that contribute to higher labour costs and more time spent in the usual procedures in warehouses. The work developed was carried out in a manual warehouse of a retail company, with the main goal being the optimization of picking tasks and the improvement of the warehouse operations, as well as stock management. The solution is based on the development and implementation of a localization system, to reduce one of the most time-consuming components of picking, the search time for products in the warehouse. This application led to a reduction of this unproductive time by 93% to 100%, meaning the complete elimination of this component, which led to an optimization of the picking activity, by increasing the warehouse preparation capacity by 63%. Apart from the software upgrade, the operators now use Personal Digital Assistants to perform and validate the picking of items, increasing the accuracy of picking and the traceability of stock.ElsevierRepositório Científico do Instituto Politécnico do PortoPereira, Maria TeresaSousa, J.M.C.Ferreira, Luís PintoSá, José CarlosSilva, F.J.G.2020-04-21T09:32:40Z20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/15800eng10.1016/j.promfg.2020.01.213info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T13:00:02Zoai:recipp.ipp.pt:10400.22/15800Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:35:30.237758Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Localization System for Optimization of Picking in a Manual Warehouse
title Localization System for Optimization of Picking in a Manual Warehouse
spellingShingle Localization System for Optimization of Picking in a Manual Warehouse
Pereira, Maria Teresa
Logistics
Supply Chain Management
Stock Management
Continuous Improvement
Performance Monitoring
title_short Localization System for Optimization of Picking in a Manual Warehouse
title_full Localization System for Optimization of Picking in a Manual Warehouse
title_fullStr Localization System for Optimization of Picking in a Manual Warehouse
title_full_unstemmed Localization System for Optimization of Picking in a Manual Warehouse
title_sort Localization System for Optimization of Picking in a Manual Warehouse
author Pereira, Maria Teresa
author_facet Pereira, Maria Teresa
Sousa, J.M.C.
Ferreira, Luís Pinto
Sá, José Carlos
Silva, F.J.G.
author_role author
author2 Sousa, J.M.C.
Ferreira, Luís Pinto
Sá, José Carlos
Silva, F.J.G.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Pereira, Maria Teresa
Sousa, J.M.C.
Ferreira, Luís Pinto
Sá, José Carlos
Silva, F.J.G.
dc.subject.por.fl_str_mv Logistics
Supply Chain Management
Stock Management
Continuous Improvement
Performance Monitoring
topic Logistics
Supply Chain Management
Stock Management
Continuous Improvement
Performance Monitoring
description Inbound logistics assumes increasing importance in retail operations, because there are usually hidden inefficiencies that contribute to higher labour costs and more time spent in the usual procedures in warehouses. The work developed was carried out in a manual warehouse of a retail company, with the main goal being the optimization of picking tasks and the improvement of the warehouse operations, as well as stock management. The solution is based on the development and implementation of a localization system, to reduce one of the most time-consuming components of picking, the search time for products in the warehouse. This application led to a reduction of this unproductive time by 93% to 100%, meaning the complete elimination of this component, which led to an optimization of the picking activity, by increasing the warehouse preparation capacity by 63%. Apart from the software upgrade, the operators now use Personal Digital Assistants to perform and validate the picking of items, increasing the accuracy of picking and the traceability of stock.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01T00:00:00Z
2020-04-21T09:32:40Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/15800
url http://hdl.handle.net/10400.22/15800
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.promfg.2020.01.213
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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