Forecast management of the refractory campaign duration in a steel industry

• Main Author: Baesso, Dalila Rodrigues
• Publication Date: 2020
• Other Authors: Bonelli Junior, Marco Antonio, Alvarenga, Júlio César
• Format: Article
• Language: eng
• Source: Revista Exacta (Online)
• Download full: https://periodicos.uninove.br/exacta/article/view/14537
• topic: Refractory materials; Multivariate regression; Linear programming.; Materiais refratários; Regressão multivariada; Programação linear.

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.