OPTIMIZATION MODEL FOR THE INSTALLATION OF SAMU BASES: APPLICATION IN NATAL-RN
| Autor: | Ricardo Pires de Souza, Eric Lucas dos Santos Cabral, Claudia Aparecida Cavalheiro Francisco, Wilkson Ricardo Silva Castro |
|---|---|
| Přispěvatelé: | CAPES, CNPq, Coordenadoria de Aperfeiçoamento do Pessoal de Nível Superior (CAPES), Conselho Nacional de Pesquisa(CNPq) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Service (business)
medicine.medical_specialty education.field_of_study Data collection Computer science business.industry Population Health care Emergency medical service health care model simulation Model simulation Pesquisa Operacional Kilometer Acute care medicine Operations management General Agricultural and Biological Sciences Relocation business education |
| Zdroj: | Revista Gestão da Produção Operações e Sistemas; v. 15, n. 4 (2020); 205 GEPROS. Gestão da Produção. Operações e Sistemas Universidade Estadual Paulista (UNESP) instacron:UNESP Repositório Institucional da UFRN Universidade Federal do Rio Grande do Norte (UFRN) instacron:UFRN Revista Gestão da Produção Operações e Sistemas; v. 14, n. 5 (2019); 161 |
| ISSN: | 1984-2430 |
| Popis: | Purpose – The objective of this study was the application of a mathematical model aiming to designate neighborhoods for the installation of new Mobile Emergency Care Service (SAMU) bases that minimize the distance traveled by the ambulances in the city of Natal / RN. Design/methodology/approach –The data were grouped in order to obtain parameters, such as: call district, time, day of the week, number of accidents. After data collection and processing, a matrix of neighborhood-to-neighborhood distance in the city of Natal based on Google Maps was created. A model was created to minimize the distance traveled by ambulances with the aid of the AIMMS program. Findings – The application of the model allowed for the simulation of scenarios with the installation of 3 to 8 fixed bases. There was a significant reduction in the distance traveled by the ambulances which reached 48%, after the installation of eight bases. In other words, there was a reduction of 6,560 kilometers traveled per month by ambulances. Research, Practical & Social implications – The reduction in the total distance covered by the ambulances has practical and social implications, since it provides an increase in the number of ambulances available to serve the population and directly reflects in the reduction in the average response time of the service. Originality/value – The article contributes to the debate on efficiency in Brazilian medical emergency services by proposing engineering and management solutions for monitoring critical indicators such as response time. Keywords - Emergency medical service. Health care. Model simulation. |
| Databáze: | OpenAIRE |
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