Publicação: An efficient exact hypercube model with fully dedicated servers
dc.contributor.author | Beojone, Caio Vitor [UNESP] | |
dc.contributor.author | de Souza, Regiane Máximo [UNESP] | |
dc.contributor.author | Iannoni, Ana Paula | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.contributor.institution | Ecole Centrale Paris | |
dc.contributor.institution | Universidade Federal de São Carlos (UFSCar) | |
dc.date.accessioned | 2021-06-25T10:22:18Z | |
dc.date.available | 2021-06-25T10:22:18Z | |
dc.date.issued | 2021-01-01 | |
dc.description.abstract | The hypercube model is a useful descriptive tool to evaluate emergency services such as firefighters, police, and emergency medical services where geographically distributed vehicles and personnel serve users in emergencies. This study proposes an extension of the hypercube model to represent a dispatch policy in which advanced equipped servers serve solely life-threatening calls (called dedicated servers). The proposed approach is applied to two case studies of public medical emergency services in two different cities in Brazil and validated with discrete-event simulations. The computational experiments show the proposed model as more sensitive to respond to more life-threatening requests than other hypercube models in the literature, serving more of these requests under increased demand. In addition, to reduce the number of equilibrium equations and, consequently, the computational effort of the hypercube model, an aggregate model is shown based on the grouping of homogeneous servers located in the same station. The aggregation policy does not generate additional losses in the accuracy of the model, as shown through several experiments. | en |
dc.description.affiliation | Department of Production Engineering São Paulo State University (UNESP) | |
dc.description.affiliation | Laboratoire Genie Industriel Ecole Centrale Paris | |
dc.description.affiliation | Department of Production Engineering São Carlos Federal University (UFSCar) | |
dc.description.affiliationUnesp | Department of Production Engineering São Paulo State University (UNESP) | |
dc.description.sponsorship | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
dc.description.sponsorship | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
dc.description.sponsorshipId | FAPESP: 2015/05324-4 | |
dc.description.sponsorshipId | CNPq: 400221/2016-0 | |
dc.format.extent | 222-237 | |
dc.identifier | http://dx.doi.org/10.1287/TRSC.2020.1007 | |
dc.identifier.citation | Transportation Science, v. 55, n. 1, p. 222-237, 2021. | |
dc.identifier.doi | 10.1287/TRSC.2020.1007 | |
dc.identifier.issn | 1526-5447 | |
dc.identifier.issn | 0041-1655 | |
dc.identifier.scopus | 2-s2.0-85100510743 | |
dc.identifier.uri | http://hdl.handle.net/11449/205849 | |
dc.language.iso | eng | |
dc.relation.ispartof | Transportation Science | |
dc.source | Scopus | |
dc.subject | Aggregation of states | |
dc.subject | Distinct servers | |
dc.subject | Emergency medical services | |
dc.subject | Probabilistic location model | |
dc.subject | Queueing theory | |
dc.title | An efficient exact hypercube model with fully dedicated servers | en |
dc.type | Artigo | |
dspace.entity.type | Publication | |
unesp.author.orcid | 0000-0002-6491-7104[1] | |
unesp.author.orcid | 0000-0002-4695-2678[2] | |
unesp.author.orcid | 0000-0001-8169-1728 0000-0001-8169-1728[3] |