LINEAR PROGRAMMING AND METHODS OF MULTIVARIATE REGRESSION APPLIED TO THE PREDICTION OF THE REFRACTORY CAMPAIGN DURATION IN A STEEL COMPANY

Vol 2, 2019 - 107721
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Resumo

When it comes to steel processes, it is known that refractory materials are responsible for a significant portion of the steel production costs. For this reason, this work aimed to understand the high variability and the low durability of the refractory campaign that compose a process of continuous casting in a large LD mill in the state of Minas Gerais , identifying the relationship between the process variables so it was possible to make estimates about the duration of its refractory campaign. For the selection of the explanatory factors, a variation of the method Stepwise was used. In each step of the algorithm, a model based on linear programming was responsible for the calculations of the linear regression coefficients. In the end, a prediction model was obtained for the duration of the campaign containing 12 explanatory factors and 97.66% of statistical significance.

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Instituições
  • 1 Universidade Federal de Ouro Preto
  • 2 Engenharia de Produção e Manufatura / Faculdade de Ciências Aplicadas (FCA) / Universidade Estadual de Campinas (UNICAMP)
Eixo Temático
  • PO na Indústria
Palavras-chave
Refractory Materials
Multivariate Regression
Linear Programming