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Vehicle location models for Emergency Medical Services. An application for a Colombian company

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dc.contributor.authorZapata Murillo, Pablospa
dc.contributor.authorBaldoquin de la Peña, Maria Gulnaraspa
dc.date.accessioned2018-04-30 00:00:00
dc.date.accessioned2022-06-17T20:19:47Z
dc.date.available2018-04-30 00:00:00
dc.date.available2022-06-17T20:19:47Z
dc.date.issued2018-04-30
dc.description.abstractAmbulance location, in a certain area of coverage, is a key element in reducing the waiting time of a potential patient and the initiation a healthcare service in Emergency Medical Services (EMS). The Operations Research area, developing and solving adequate mathematical models, helps to make good decisions in EMS. We propose two variants of a Mixed Integer Linear Programming model for locating heterogeneous fleet vehicles to support different types of services in emergency medical care, taking into account the operational requirements of a health care service company in Colombia. The proposed models do not exactly match any of those found in the literature. The models are solved with Gurobi solver and the modeling language AMPL and they are successfully validated with historical data of the company under study and some estimates based on external sources. These obtained results are compared using an adaptation of the concept of Preparedness taken from the literature for ambulance positioning, as regard to measure the readiness of the system to the expected demand. The new results show that the relevance of each model depends of the prioritization of services and/or areas that the company considers.spa
dc.description.abstractAmbulance location, in a certain area of coverage, is a key element in reducing the waiting time of a potential patient and the initiation a healthcare service in Emergency Medical Services (EMS). The Operations Research area, developing and solving adequate mathematical models, helps to make good decisions in EMS. We propose two variants of a Mixed Integer Linear Programming model for locating heterogeneous fleet vehicles to support different types of services in emergency medical care, taking into account the operational requirements of a health care service company in Colombia. The proposed models do not exactly match any of those found in the literature. The models are solved with Gurobi solver and the modeling language AMPL and they are successfully validated with historical data of the company under study and some estimates based on external sources. These obtained results are compared using an adaptation of the concept of Preparedness taken from the literature for ambulance positioning, as regard to measure the readiness of the system to the expected demand. The new results show that the relevance of each model depends of the prioritization of services and/or areas that the company considers.eng
dc.format.mimetypeapplication/pdfspa
dc.identifier.doi10.24050/reia.v15i29.1211
dc.identifier.eissn2463-0950
dc.identifier.issn1794-1237
dc.identifier.urihttps://repository.eia.edu.co/handle/11190/5032
dc.identifier.urlhttps://doi.org/10.24050/reia.v15i29.1211
dc.language.isospaspa
dc.publisherFondo Editorial EIA - Universidad EIAspa
dc.relation.bitstreamhttps://revistas.eia.edu.co/index.php/reveia/article/download/1211/1174
dc.relation.citationeditionNúm. 29 , Año 2018spa
dc.relation.citationendpage46
dc.relation.citationissue29spa
dc.relation.citationstartpage31
dc.relation.citationvolume15spa
dc.relation.ispartofjournalRevista EIAspa
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dc.rightsRevista EIA - 2018spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/spa
dc.sourcehttps://revistas.eia.edu.co/index.php/reveia/article/view/1211spa
dc.subjectEmergency Medical Servicesspa
dc.subjecthospital logisticsspa
dc.subjectambulance locationspa
dc.subjectmathematical modelsspa
dc.subjectlinear programmingspa
dc.subjectmathematical modelsspa
dc.subjectlinear programmingspa
dc.subjectoptimization modelsspa
dc.titleVehicle location models for Emergency Medical Services. An application for a Colombian companyspa
dc.title.translatedVehicle location models for Emergency Medical Services. An application for a Colombian companyeng
dc.typeArtículo de revistaspa
dc.typeJournal articleeng
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
dc.type.coarversionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTREFspa
dc.type.versioninfo:eu-repo/semantics/publishedVersionspa
dspace.entity.typePublication
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