Determination of server location in emergency care systems: an index proposal using data envelopment analysis and the hypercube queuing model

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorÉcole Polytechnique Fédérale de Lausanne (EPFL)-
Autor(es): dc.creatorMariano, Enzo Barberio-
Autor(es): dc.creatorSiqueira, Regiane Máximo-
Autor(es): dc.creatorBeojone, Caio Vitor-
Autor(es): dc.creatorLuiz, Octaviano Rojas-
Autor(es): dc.creatorLuiz, João Victor Rojas-
Autor(es): dc.creatordos Santos, Hugo Henrique-
Data de aceite: dc.date.accessioned2025-08-21T18:11:06Z-
Data de disponibilização: dc.date.available2025-08-21T18:11:06Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2022-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.7717/PEERJ-CS.1637-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/297957-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/297957-
Descrição: dc.descriptionThe objective of this article is to propose a new composite index (CI) that helps to determine the most effective location of servers in an Emergency Care System (ECS), using Benefit of the Doubt (BoD)/Data Envelopment Analysis (DEA) and the Hypercube queuing model. The CI proposed was developed in four stages: (1) definition of a number of possible ECS configurations through the application of mathematical partitions and permutations; (2) application of the hypercube queuing model to determine performance parameters for each ECS configuration; (3) application of DEA/BoD to build the CI and generate performance rankings, and (4) evaluation of the rankings obtained to define the best configuration for the ECS analyzed. Data from two real cases from Brazil were used to assess the CI proposal. The results obtained confirm that: (a) the hypercube model could, relatively quickly, determine the configuration parameters generated; (b) the application of an appropriate DEA/BoD model enabled the different configurations to be ranked with good discrimination; (c) a pattern in the relationship between ambulance concentration and configuration effectiveness could be identified; and (d) the CI proposed would benefit ECS managers who are making resource location decisions.-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionDepartment of Production Engineering College of Engineering São Paulo State University (UNESP), São Paulo-
Descrição: dc.descriptionUrban Transport Systems Laboratory (LUTS) École Polytechnique Fédérale de Lausanne (EPFL)-
Descrição: dc.descriptionDepartment of Engineering Institute of Sciences and Engineering São Paulo State University (Unesp), São Paulo-
Descrição: dc.descriptionDepartment of Production Engineering College of Engineering São Paulo State University (UNESP), São Paulo-
Descrição: dc.descriptionDepartment of Engineering Institute of Sciences and Engineering São Paulo State University (Unesp), São Paulo-
Descrição: dc.descriptionFAPESP: 14/19051-7-
Idioma: dc.languageen-
Relação: dc.relationPeerJ Computer Science-
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Palavras-chave: dc.subjectBenefit of the doubt-
Palavras-chave: dc.subjectData envelopment analysis-
Palavras-chave: dc.subjectEmergency care systems-
Palavras-chave: dc.subjectHypercube queuing model-
Palavras-chave: dc.subjectLocation problems-
Palavras-chave: dc.subjectQueuing theory-
Título: dc.titleDetermination of server location in emergency care systems: an index proposal using data envelopment analysis and the hypercube queuing model-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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