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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/129855
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dc.contributor.authorSouza, Regiane Máximo de-
dc.contributor.authorMorabito, Reinaldo-
dc.contributor.authorChiyoshi, Fernando Y.-
dc.contributor.authorIannoni, Ana Paula-
dc.date.accessioned2015-10-22T07:21:59Z-
dc.date.accessioned2016-10-25T21:16:38Z-
dc.date.available2015-10-22T07:21:59Z-
dc.date.available2016-10-25T21:16:38Z-
dc.date.issued2015-04-01-
dc.identifierhttp://www.sciencedirect.com/science/article/pii/S0377221714007954-
dc.identifier.citationEuropean Journal Of Operational Research. Amsterdam: Elsevier Science Bv, v. 242, n. 1, p. 274-285, 2015.-
dc.identifier.issn0377-2217-
dc.identifier.urihttp://hdl.handle.net/11449/129855-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/129855-
dc.description.abstractEmergency medical services (EMS) assist different classes of patients according to their medical seriousness. In this study, we extended the well-known hypercube model, based on the theory of spatially distributed queues, to analyze systems with multiple priority classes and a queue for waiting customers. Then, we analyzed the computational results obtained when applying this approach to a case study from an urban EMS in the city of Ribeirao Preto, Brazil. We also investigated some scenarios for this system studying different periods of the day and the impact of increasing the demands of the patient classes. The results showed that relevant performance measures can be obtained to analyze such a system by using the analytical model extended to deal with queuing priority. In particular, it can accurately evaluate the average response time for each class of emergency calls individually, paying particular attention to high priority calls. (C) 2014 Elsevier B.V. All rights reserved.en
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
dc.format.extent274-285-
dc.language.isoeng-
dc.publisherElsevier B.V.-
dc.sourceWeb of Science-
dc.subjectOR in health servicesen
dc.subjectHypercube modelen
dc.subjectQueuing priorityen
dc.subjectEmergency medical servicesen
dc.subjectSAMUen
dc.titleIncorporating priorities for waiting customers in the hypercube queuing model with application to an emergency medical service system in Brazilen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade Federal de São Carlos (UFSCar)-
dc.contributor.institutionUniversidade Federal do Rio de Janeiro (UFRJ)-
dc.contributor.institutionEcole Centrale Paris-
dc.description.affiliationDepartment of Production Engineering, Federal University of Sao Carlos, SP, Brazil-
dc.description.affiliationDepartment of Production Engineering, Federal University of Rio de Janeiro, RJ, Brazil-
dc.description.affiliationLaboratoire Genie Industriel, Ecole Centrale Paris, France-
dc.description.affiliationUnespState Univ Sao Paulo, UNESP, Dept Prod Engn, Sao Paulo, Brazil-
dc.identifier.doihttp://dx.doi.org/10.1016/j.ejor.2014.09.056-
dc.identifier.wosWOS:000348687900025-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofEuropean Journal Of Operational Research-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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