<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dalila Rodrigues Baesso</style></author><author><style face="normal" font="default" size="100%">Marco Antônio Bonelli Júnior</style></author><author><style face="normal" font="default" size="100%">Julio César Alvarenga</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Linear programming and methods of multivariate regression applied to the prediction of the refractory campaign duration in a steel company</style></title><secondary-title><style face="normal" font="default" size="100%">LI SBPO - Simpósio Brasileiro de Pesquisa Operacional</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">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</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">Limeira, SP</style></pub-location><volume><style face="normal" font="default" size="100%">2</style></volume><pages><style face="normal" font="default" size="100%">107721</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;
	&lt;span style=&quot;font-size:14px;&quot;&gt;&lt;span style=&quot;font-family:Arial,Helvetica,sans-serif;&quot;&gt;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.&lt;/span&gt;&lt;/span&gt;
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