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A Mathematical Model Under Uncertainty for Optimizing Medicine Logistics in Hospitals

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dc.creatorFranco Franco, Carlos Albertospa
dc.creatorLópez-Santana E.R.spa
dc.creatorFigueroa-García J.C.spa
dc.date.accessioned2020-05-26T00:05:06Z
dc.date.available2020-05-26T00:05:06Z
dc.date.created2018spa
dc.description.abstractManaging resources in hospitals is one of the most challenging duties in healthcare. The complexity of supply chain management in hospitals is high due to different factors such as life cycle of medicines, demand uncertainty, variation of prices, monetary resources, space constraints, among others. The main important factor of the supply chain in hospitals is the welfare of patients which depends of the correct management and administration of medicines, in this way backorders or stockouts are not allowed. In this paper we propose a mathematical model to make real planning over a health care supply chain considering real factors face by decision makers. For testing results we have used real data considering different sources of uncertainty. We have choose 5 different types of medicines and run the optimization model to determine the optimal solution over a set of scenarios generated for modeling uncertainty. For testing the results, we have compare over a year planning the results obtained by our policy and the results obtained by the hospital, improving the results in terms of costs. © 2018, Springer Nature Switzerland AG.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1007/978-3-030-00353-1_5
dc.identifier.issn18650929
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/23753
dc.language.isoengspa
dc.publisherSpringer Verlagspa
dc.relation.citationEndPage60
dc.relation.citationStartPage53
dc.relation.citationTitleCommunications in Computer and Information Science
dc.relation.citationVolumeVol. 916
dc.relation.ispartofCommunications in Computer and Information Science, ISSN:18650929, Vol.916,(2018); pp. 53-60spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85053994555&doi=10.1007%2f978-3-030-00353-1_5&partnerID=40&md5=f9ab5fd3375d1b6248ab1615965b78bcspa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordDecision makingspa
dc.subject.keywordHealth carespa
dc.subject.keywordHospitalsspa
dc.subject.keywordLife cyclespa
dc.subject.keywordOptimizationspa
dc.subject.keywordUncertainty analysisspa
dc.subject.keywordDemand uncertaintyspa
dc.subject.keywordManaging resourcesspa
dc.subject.keywordModel uncertaintiesspa
dc.subject.keywordMonetary resourcesspa
dc.subject.keywordOptimal solutionsspa
dc.subject.keywordOptimization modelingspa
dc.subject.keywordRobust optimizationspa
dc.subject.keywordSources of uncertaintyspa
dc.subject.keywordSupply chain managementspa
dc.subject.keywordHospital planningspa
dc.subject.keywordOptimizationspa
dc.subject.keywordOptimization under scenariosspa
dc.subject.keywordPharmaceutical logisticsspa
dc.subject.keywordRobust optimizationspa
dc.titleA Mathematical Model Under Uncertainty for Optimizing Medicine Logistics in Hospitalsspa
dc.typeconferenceObjecteng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaDocumento de conferenciaspa
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