Decision support system for the application of lean healthcare in stock management in health facilities
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
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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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 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
IEEE |
publisher.none.fl_str_mv |
IEEE |
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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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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