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 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.

Strategic support for the distribution of vaccines against Covid-19 to Brazilian remote areas: A multicriteria approach in the light of the ELECTRE-MOr method.

The pandemic caused by the new coronavirus has brought to light a series of concerns for the Brazilian population and government departments due to the different costly consequences that it has generated. It has also mobilized different strategic fronts that plan and implement several mitigating measures against the virus. Besides, the search for solutions for adequate care for individuals in need of support has been constant. This work uses ELECTRE-MOr, a Multi-Criteria Decision Aid (MCDA) method, to support the logistic plan for the vaccine distribution throughout Brazil, essentially to remote areas. The method allows an objective and structured classification of ideal types of thermal boxes for the storage of immunobiological inside the Cold Chain, presenting the best alternative that maintains the quality of materials until the final destination and has the best cost-benefit. Currently, the ELECTRE-MOr model is under development in a computational tool in Python, allowing the use of the method intuitively and clearly, enabling professionals of any area of expertise to apply it.