Avaliação da política ótima de gerenciamento de estoque de sangue do HEMORIO via processo de decisão de markov

Abstract

This work develops a Markovian decision model in order to dimension the external collection in HEMORIO, a Brazilian blood institute, focusing on minimizing costs and considering aspects inherent to the problem of blood storage, such as the perishability of the items. In addition to dealing with blood stock management, our mathematical modeling handles waiting queues with variable rates, focusing on controlling the demand one. Although there are several models in the literature dealing with that, the way we apply Markov’s decision-making process to find switchovers to manage the blood stock is a new approach to optimization in this topic. The model is validated based on the literature and we show how the results could be used to improve the institution’s policy and its data. The text concludes the number of external collection teams to be sent according to the number of blood bags in stock, parameterized to guarantee 7 days of self-sufficiency in blood