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

2021Journal article Open access
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dc.contributor.authorAgostinho, Ana
dc.contributor.authorGuilherme, Henrique
dc.contributor.authorMarcelino, Sara
dc.contributor.authorLima, Tânia M.
dc.contributor.authorGaspar, Pedro Dinis
dc.date.accessioned2024-01-23T17:00:08Z
dc.date.available2024-01-23T17:00:08Z
dc.date.issued2021
dc.description.abstractThe 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 kitpt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/DASA53625.2021.9682338pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/14123
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationCentre for Mechanical and Aerospace Science and Technologies
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectInventory managementpt_PT
dc.subjectLean healthcarept_PT
dc.subjectDecision support systempt_PT
dc.subjecte-Kanbanpt_PT
dc.subjectStockpt_PT
dc.titleDecision support system for the application of lean healthcare in stock management in health facilitiespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCentre for Mechanical and Aerospace Science and Technologies
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00151%2F2020/PT
oaire.citation.conferencePlaceUBI, Covilhãpt_PT
oaire.citation.titleIEEEpt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameRodrigues Agostinho
person.familyNameMarcelino
person.familyNameLima
person.familyNameGaspar
person.givenNameAna Gisela
person.givenNameSara
person.givenNameTânia
person.givenNamePedro Dinis
person.identifier1710267
person.identifier.ciencia-idE81B-5455-20C5
person.identifier.ciencia-idB713-A5A0-6958
person.identifier.ciencia-id771E-3B60-A936
person.identifier.ciencia-id6111-9F05-2916
person.identifier.orcid0009-0003-7018-4458
person.identifier.orcid0000-0003-2509-7702
person.identifier.orcid0000-0002-7540-3854
person.identifier.orcid0000-0003-1691-1709
person.identifier.ridV-5052-2017
person.identifier.ridN-3016-2013
person.identifier.scopus-author-id48661120000
person.identifier.scopus-author-id57419570900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication3d8fee4d-3e8c-4068-921b-30a58b621e9a
relation.isAuthorOfPublication08aed44c-eafd-43fc-84ab-8cad432f0656
relation.isAuthorOfPublicationef58bc1e-8e06-46cc-93e3-bba8e6ed8388
relation.isAuthorOfPublicationb69e2ba0-43af-4cf7-873e-090fd9fc6c94
relation.isAuthorOfPublication.latestForDiscoveryef58bc1e-8e06-46cc-93e3-bba8e6ed8388
relation.isProjectOfPublicationc1aeadcb-d7fa-4d70-959a-2447dc0b2276
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