Multi-criteria analysis applied to humanitarian assistance: an approach based on ELECTRE-MOr

The recent increase in the number of cases of COVID-19 in Brazil and worldwide, caused by the Omicron Variant, has brought to light concern to the population and the government, especially in the states most affected by the pandemic. To find a way to help combat the pandemic, a case study was conduc...

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Veröffentlicht in:Procedia computer science 2022, Vol.214, p.63-70
Hauptverfasser: da Costa, Leandro Machado Aveiro, Gomes, Ian José Agra, Costa, Igor Pinheiro de Araújo, da Silva, Ricardo Franceli, Muradas, Fernando Martins, Moreira, Miguel Ângelo Lellis, Corriça, José Victor de Pina, Costa, Arthur Pinheiro de Araújo, dos Santos, Marcos, Gomes, Carlos Francisco Simões
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Sprache:eng
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Zusammenfassung:The recent increase in the number of cases of COVID-19 in Brazil and worldwide, caused by the Omicron Variant, has brought to light concern to the population and the government, especially in the states most affected by the pandemic. To find a way to help combat the pandemic, a case study was conducted to acquire new speedboats by the Brazilian Navy (BN), through the application of the ELECTRE-MOr multicriteria method. The boats would be employed as mobile hospitals, aiming to perform first aid and evacuation of patients from riverside regions to qualified hospitals. Another important use would be the transport of vaccines, medicines and basic supplies for riverside populations, such as water, food and hygiene materials. For the proposed analysis, we consulted three specialists from the BN, who evaluated eight boat models in seven tactical, operational and medical criteria. After the application of the method, the Guardian 25 and RAC boats were chosen to be employed in humanitarian assistance. This study brings a valuable contribution to academia and society since it represents the application of a multi-criteria decision-aid method in the state of the art to contribute to the solution of a real problem that affects millions of people in Brazil and worldwide.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2022.11.149