Modelos de localização e análise econômica de unidade de serviço de atendimento médico de urgência
International Journal of Development Research
Modelos de localização e análise econômica de unidade de serviço de atendimento médico de urgência
Received 28th March, 2021; Received in revised form 11th April, 2021; Accepted 18th May, 2021; Published online 30th June, 2021
Copyright © 2021, Tamires Gabriela Silva Goveia et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This study shows how location models such as p-median, p-center, and a proposed variation were employed to improve urgent and emergency care provided through the emergency mobile health units (SAMU). Besides incurring unnecessary additional operational costs, it is important to note that the failure or inefficiency of these mobile units can result in loss of human lives. The SAMU system in question serves a city with a population of approximately 213,576 inhabitants and it handles more than 1,400 calls per year. Operations research techniques like mixed integer linear programming and facility location principles were used to assertively and quantitatively define the best locations for SAMU units. The location problems were solved using the Julia 1.5.0 programming language, and other softwares were also used for organizing the data. The Lagrangian relaxation proved to be an efficient method to solve the problems which are considered NP-hard. Under the different scenarios tested, it was concluded that when compared with the p-median model, the p-center method found the best locations for the emergency mobile health units as it reduced the maximum distance between patient and the mobile units, in addition to other analyses.
