ISSN 2594-5297
49º Seminário de Laminação — vol. 49, num.49 (2012)
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Abstract
Many industrial plants are still using simple and popular tools such as spreadsheet applications to analyze complex and multi-variable problems, which do not take into account the probabilistic relations. Excessive time consumption to solve problems, productivity loss, unreliable results and dimensional constraints can be stated as typical limitations of these tools. To eliminate these drawbacks, ArcelorMittal has successfully developed a new methodology that extracts high level information within production database and uses unconventional statistical tools based on Bayesian Network (BN) Modeling for addressing production issues. ArcelorMittal’s VEGA facility has deployed internally this new approach to perform defect analysis in a more efficient and effective manner.
Many industrial plants are still using simple and popular tools such as spreadsheet applications to analyze complex and multi-variable problems, which do not take into account the probabilistic relations. Excessive time consumption to solve problems, productivity loss, unreliable results and dimensional constraints can be stated as typical limitations of these tools. To eliminate these drawbacks, ArcelorMittal has successfully developed a new methodology that extracts high level information within production database and uses unconventional statistical tools based on Bayesian Network (BN) Modeling for addressing production issues. ArcelorMittal’s VEGA facility has deployed internally this new approach to perform defect analysis in a more efficient and effective manner.
Keywords
Defect modelling; Bayesian network; Quality defect; Galvanizing line.
Defect modelling; Bayesian network; Quality defect; Galvanizing line.
How to refer
Souza, Fabricio Brandão Pereira de;
Fernandes, Tiago da Silva;
Colzani, Luciano;
Oliveira, Danilo Gonçalves de;
Patil., Ram.
DEFECT MODELING: AN ADVANCED APPROACH TO
SOLVE QUALITY PROBLEMS
,
p. 838-846.
In: 49º Seminário de Laminação,
Rio de Jabeiro,
2012.
ISSN: 2594-5297
, DOI 10.5151/2594-5297-22680
