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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

An Efficient Exact Hypercube Model with Fully Dedicated Servers

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Autor(es):
Beojone, Caio Vitor [1] ; de Souza, Regiane Maximo [1] ; Iannoni, Ana Paula [2, 3]
Número total de Autores: 3
Afiliação do(s) autor(es):
[1] Sao Paulo State Univ UNESP, Dept Prod Engn, BR-17033360 Bauru, SP - Brazil
[2] Ecole Cent Paris, Lab Genie Ind, F-92295 Chatenay Malabry - France
[3] Sao Carlos Fed Univ UFSCar, Dept Prod Engn, BR-13565905 Sao Carlos - Brazil
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: TRANSPORTATION SCIENCE; v. 55, n. 1, p. 222-237, JAN-FEB 2021.
Citações Web of Science: 0
Resumo

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. (AU)

Processo FAPESP: 15/05324-4 - Estudo e Modelagem de Problemas de Logística de Atendimento Emergencial
Beneficiário:Regiane Máximo de Souza
Modalidade de apoio: Auxílio à Pesquisa - Regular