Decision support system for the application of lean healthcare in stock management in health facilities

Detalhes bibliográficos
Autor(a) principal: Agostinho, Ana
Data de Publicação: 2021
Outros Autores: Guilherme, Henrique, Marcelino, Sara, Lima, Tânia M., Gaspar, Pedro Dinis
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.6/14123
Resumo: The scarcity of consumables in health facilities has important implications for the quality of healthcare services, the user’s well-being, and costs. The negative impacts associated with the lack of necessary products for the treatment of patients can be minimized by applying the Lean philosophy to stock management in healthcare facilities. Therefore, an easy-to-use virtual Kanban decision support system with low implementation costs was created. The quantitative model includes the calculation of maximum and minimum stocks for each item and makes it possible to determine the level of urgency for placing orders. This model presupposes the classification of items according to the level of demand, providing, depending on that classification, the quantity to be purchased. The inventory optimization system is described and then tested using the items of a first-aid kit
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spelling Decision support system for the application of lean healthcare in stock management in health facilitiesInventory managementLean healthcareDecision support systeme-KanbanStockThe scarcity of consumables in health facilities has important implications for the quality of healthcare services, the user’s well-being, and costs. The negative impacts associated with the lack of necessary products for the treatment of patients can be minimized by applying the Lean philosophy to stock management in healthcare facilities. Therefore, an easy-to-use virtual Kanban decision support system with low implementation costs was created. The quantitative model includes the calculation of maximum and minimum stocks for each item and makes it possible to determine the level of urgency for placing orders. This model presupposes the classification of items according to the level of demand, providing, depending on that classification, the quantity to be purchased. The inventory optimization system is described and then tested using the items of a first-aid kitIEEEuBibliorumAgostinho, AnaGuilherme, HenriqueMarcelino, SaraLima, Tânia M.Gaspar, Pedro Dinis2024-01-23T17:00:08Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/14123eng10.1109/DASA53625.2021.9682338info: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:RCAAP2024-01-24T04:57:48Zoai:ubibliorum.ubi.pt:10400.6/14123Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:56:55.305217Repositório 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 Decision support system for the application of lean healthcare in stock management in health facilities
title Decision support system for the application of lean healthcare in stock management in health facilities
spellingShingle Decision support system for the application of lean healthcare in stock management in health facilities
Agostinho, Ana
Inventory management
Lean healthcare
Decision support system
e-Kanban
Stock
title_short Decision support system for the application of lean healthcare in stock management in health facilities
title_full Decision support system for the application of lean healthcare in stock management in health facilities
title_fullStr Decision support system for the application of lean healthcare in stock management in health facilities
title_full_unstemmed Decision support system for the application of lean healthcare in stock management in health facilities
title_sort Decision support system for the application of lean healthcare in stock management in health facilities
author Agostinho, Ana
author_facet Agostinho, Ana
Guilherme, Henrique
Marcelino, Sara
Lima, Tânia M.
Gaspar, Pedro Dinis
author_role author
author2 Guilherme, Henrique
Marcelino, Sara
Lima, Tânia M.
Gaspar, Pedro Dinis
author2_role author
author
author
author
dc.contributor.none.fl_str_mv uBibliorum
dc.contributor.author.fl_str_mv Agostinho, Ana
Guilherme, Henrique
Marcelino, Sara
Lima, Tânia M.
Gaspar, Pedro Dinis
dc.subject.por.fl_str_mv Inventory management
Lean healthcare
Decision support system
e-Kanban
Stock
topic Inventory management
Lean healthcare
Decision support system
e-Kanban
Stock
description The scarcity of consumables in health facilities has important implications for the quality of healthcare services, the user’s well-being, and costs. The negative impacts associated with the lack of necessary products for the treatment of patients can be minimized by applying the Lean philosophy to stock management in healthcare facilities. Therefore, an easy-to-use virtual Kanban decision support system with low implementation costs was created. The quantitative model includes the calculation of maximum and minimum stocks for each item and makes it possible to determine the level of urgency for placing orders. This model presupposes the classification of items according to the level of demand, providing, depending on that classification, the quantity to be purchased. The inventory optimization system is described and then tested using the items of a first-aid kit
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-01-01T00:00:00Z
2024-01-23T17:00:08Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.6/14123
url http://hdl.handle.net/10400.6/14123
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1109/DASA53625.2021.9682338
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dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
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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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