dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidade Federal de São Carlos (UFSCar)
dc.contributorUniversidade Federal do Rio de Janeiro (UFRJ)
dc.contributorEcole Centrale Paris
dc.creatorSouza, Regiane Máximo de [UNESP]
dc.creatorMorabito, Reinaldo
dc.creatorChiyoshi, Fernando Y.
dc.creatorIannoni, Ana Paula
dc.date2015-10-22T07:21:59Z
dc.date2015-10-22T07:21:59Z
dc.date2015-04-01
dc.date.accessioned2023-09-12T07:04:16Z
dc.date.available2023-09-12T07:04:16Z
dc.identifierhttp://www.sciencedirect.com/science/article/pii/S0377221714007954
dc.identifierEuropean Journal Of Operational Research. Amsterdam: Elsevier Science Bv, v. 242, n. 1, p. 274-285, 2015.
dc.identifier0377-2217
dc.identifierhttp://hdl.handle.net/11449/129855
dc.identifier10.1016/j.ejor.2014.09.056
dc.identifierWOS:000348687900025
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8779184
dc.descriptionEmergency 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.
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionDepartment of Production Engineering, Federal University of Sao Carlos, SP, Brazil
dc.descriptionDepartment of Production Engineering, Federal University of Rio de Janeiro, RJ, Brazil
dc.descriptionLaboratoire Genie Industriel, Ecole Centrale Paris, France
dc.descriptionState Univ Sao Paulo, UNESP, Dept Prod Engn, Sao Paulo, Brazil
dc.format274-285
dc.languageeng
dc.publisherElsevier B.V.
dc.relationEuropean Journal Of Operational Research
dc.relation3.428
dc.relation2,437
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectOR in health services
dc.subjectHypercube model
dc.subjectQueuing priority
dc.subjectEmergency medical services
dc.subjectSAMU
dc.titleIncorporating priorities for waiting customers in the hypercube queuing model with application to an emergency medical service system in Brazil
dc.typeArtigo


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