Anais dos Seminários de Redução, Minério de Ferro e Aglomeração


ISSN 2594-357X

Título

STATISTICAL MODELLING OF CHARCOAL CONSUMPTION OF V & M DO BRASIL’S BLAST FURNACES IN RELATION TO HOT PIG PRODUCTION AND FERROUS LOADS

STATISTICAL MODELLING OF CHARCOAL CONSUMPTION OF V & M DO BRASIL’S BLAST FURNACES IN RELATION TO HOT PIG PRODUCTION AND FERROUS LOADS

DOI

10.5151/2594-357X-21625

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Resumo

The need to increase the blast furnaces productivity indexes and to produce hot pig with costs each time lower has led to deep analysis of the factors that affect the cost and the behavior of these reactors. V & M do Brasil is conducting such studies, which have increased since the economic crisis in late 2008, using historical data on raw materials consumption and blast furnaces hot pig production and turning them into information for evaluate the production cost and achieve better planning and economic results for the company. The models developed are based on statistical techniques of Response Surface Models (RSM) and Linear Regression. These models are used strategically to make a cost immediate estimate and the decisions on the offers and opportunities in the market of raw materials for immediate financial return. This work represents a major step in the blast furnaces operation, with a differential for V & M do Brasil, that left to set standard ferrous loads for blast furnaces and started to operate with greater flexibility and variability in the type of load seeks to achieve better economic results.

 

The need to increase the blast furnaces productivity indexes and to produce hot pig with costs each time lower has led to deep analysis of the factors that affect the cost and the behavior of these reactors. V & M do Brasil is conducting such studies, which have increased since the economic crisis in late 2008, using historical data on raw materials consumption and blast furnaces hot pig production and turning them into information for evaluate the production cost and achieve better planning and economic results for the company. The models developed are based on statistical techniques of Response Surface Models (RSM) and Linear Regression. These models are used strategically to make a cost immediate estimate and the decisions on the offers and opportunities in the market of raw materials for immediate financial return. This work represents a major step in the blast furnaces operation, with a differential for V & M do Brasil, that left to set standard ferrous loads for blast furnaces and started to operate with greater flexibility and variability in the type of load seeks to achieve better economic results.

Palavras-chave

Charcoal consumption; Blast furnaces; Hot pig production; Pellet.

Charcoal consumption; Blast furnaces; Hot pig production; Pellet.

Como citar

Faleiro, Rosiane Mary Rezende; Velloso, Cláudio Musso; Castro, Luiz Fernando Andrade de; Sampaio., Ronaldo Santos. STATISTICAL MODELLING OF CHARCOAL CONSUMPTION OF V & M DO BRASIL’S BLAST FURNACES IN RELATION TO HOT PIG PRODUCTION AND FERROUS LOADS , p. 139-143. In: 42º Seminário de Redução de Minério de Ferro e Matérias-primas / 13º Seminário Brasileiro de Minério de Ferro / 6th International Congress on the Science and Technology of Ironmaking, Rio de Jabeiro, 2012.
ISSN: 2594-357X , DOI 10.5151/2594-357X-21625