@conference {18051,
	title = {Linear programming and methods of multivariate regression applied to the prediction of the refractory campaign duration in a steel company},
	booktitle = {LI SBPO - Simp{\'o}sio Brasileiro de Pesquisa Operacional},
	volume = {2},
	year = {2019},
	pages = {107721},
	address = {Limeira, SP},
	abstract = {
	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.

},
	url = {https://proceedings.science/sbpo-2019/papers/linear-programming-and-methods-of-multivariate-regression-applied-to-the-prediction-of-the-refractory-campaign-duration-?lang=pt-br},
	author = {Dalila Rodrigues Baesso and Marco Ant{\^o}nio Bonelli J{\'u}nior and Julio C{\'e}sar Alvarenga}
}
