Banca de DEFESA: Charles Paulino de Oliveira

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : Charles Paulino de Oliveira
DATA : 27/02/2020
HORA: 16:00
LOCAL: Sala 101, prédio 17, DECOM, 1º andar, Campus II, Av. Amazonas, 7675, Belo Horizonte – MG
TÍTULO:

Optimization Modelos Applied To The Maximum Coverage Location Problem: a case study on SAMU-BH

PALAVRAS-CHAVES:

SAMU. Operations Research. Simulation. Optimization. Ambulance Location.

PÁGINAS: 110
GRANDE ÁREA: Ciências Sociais Aplicadas
ÁREA: Administração
RESUMO:

The Brazilian Emergency Medical System (SAMU), performs an important role for its healthcare system, providing emergency services to attend the population’s need for first aid services, victims transports or patients transfers between hospitals. To assure a successful service for victims in need, it is essential that ambulances may reach incident sites’ quickly. One of several factors that can affect the ambulances’ agility to reach victims refers to its locations, vehicles shall be placed in a way that enables them to cover its demands properly. Therefore, SAMU managers must be aware with the location of ambulance bases and the number of vehicles as signed to each one,inorder to afford effective coverage for its requests. To support the decision making process in this field, Operations Research (OR) offers a set of methods and tools that can indicate the ideal locations to install bases and determine the best way to allocate ambulances. Hence, this work aims to apply the Facility Location Problem in the SAMU of Belo Horizonte city, state of Minas Gerais. The objective is to contribute to the development of optimization models that divide the day into multi-periods to handle the problem of bases locations, and ambulances allocation/realocation, in order to maximize the coverage of demands within satisfactory response times. This is a case study with a quantitative and applied approach, with an exploratory objective that draws on two OR’s techniques, Simulation and Mathematical Programming. Based on literature references, two models are presented. The first formulation has a deterministic approach while the second uses a stochastic approach. In addition, a multiobjective analysis is applied to the problem, aimming to maximize the coverage while the number of bases to be installed is minimized. Lastly, a simulator is used, allowing a comparison of the proposed settings by both optimization models and also a comparison of them with the current operating framework. Results from optimization suggest that the installation of new bases and/or the deferral for ambulances to move among bases may increase the coverage level of the system about to 30% (deterministic formulation) and about to 24,6% (stochastic formulation). Through simulation it is possible to infer that the stochastic model without realocation generates the best coverage results. It is also observed that, given the current base locations, the realocation proposal suggested by the stochastic formulation is the one that provides the best results.

MEMBROS DA BANCA:
Presidente - ELISANGELA MARTINS DE SA
Interno - FELIPE DIAS PAIVA
Externo ao Programa - FLAVIO VINICIUS CRUZEIRO MARTINS
Externo à Instituição - PEDRO MARINHO SIZENANDO SILVA - IFMG