Identificação de práticas que aumentam a saúde e bem-estar de bovinos para corte com o auxílio da modelagem multicritério

Abstract

With increasingly consumers and a strong advance in legislation, animal health and welfare has gained prominence and importance. Inside this theme, a production that has been questioned is cattle raising, because of its representativeness, it is estimated that there are more than 1 billion cattle in the world. As a result, some companies have proposed actions with their suppliers to improve the quality of life of animals, perceiving the market trend. Given this context, the following objective is to identify practices that increase the health and welfare of cattle in beef production with the use of multicriteria modeling. To achieve this goal, the preparation of a multicriteria modeling is proposed, employing the following methods: SWARA, to weight the criteria and Fuzzy TOPSIS, to sort and select as alternatives. The results defined the use of six criteria, establishing the Body Weight and Condition as the most important. Through the model, the alternative A5, Animal Population Density was elected the main practice. The model is flexible and useful for solving the problem, meeting the producer's needs with the answer of a reliable ranking that helps decision making.