Desenvolvimento de uma tecnologia computacional para tomada de decisão de alto nível: uma contribuição da Marinha do Brasil para seleção de autoclaves no combate à COVID-19

Abstract

This paper aimed to propose and present to the scien-tific community and to society a new method of Multicriteria Decision Support (MDS) – ELECTRE-MOr. The method con-sists of a proposal for classification of multiple criteria with input of ordinal weights, which includes multiple alternative decision makers and distribution in predefined categories. In order to faci-litate the dissemination and use by society in general, the axio-matics of ELECTRE-MOr was implemented in a simple and intuitive online computational tool, which is also presented in this article. To illustrate the application, a real case study was conduc-ted with public health experts for the selection of autoclaves to be used in the production of the vaccine against the new coronavirus. As a result, the Finnaqua model was selected as the one with the highest cost-benefit among the analyzed alternatives. This article seeks to solve a problem of extreme relevance to academia and society, as it proposes the application of a new MDS method to contribute to the solution of a problem that affects millions of peo-ple in Brazil and worldwide. It is emphasized that the model pre-sented can be expanded and applied in several types of tactical, operational and strategic problems in the civil and military envi-ronments, thus being a great method focused on the contribution of high-level decision-making.