Kvali-Metal: A Probability Model Tool for Optimizing Product Properties in the Steel Industry. J, J., I., &., R. In 3rd International Conference on Process Development in Iron and Steelmaking (SCANMET III), June 8-11 2008, Luleå, Sweden, pages 263-271, 2008.
abstract   bibtex   
Kvali-metal is a combination of an advanced modelling approach and a software tool. It provides an advanced probability-based approach to planning and controlling the properties of steel products. The most important part of the kvali-metal solution is fitting statistical models to the mean and variance of product properties with the aim of accurately predicting the statistical distribution of product properties. The models are then implemented into a software tool that is used to plan and control properties so that the disqualification probability given by the predicted statistical distribution is low enough. The proposed approach takes into account the dependence of variance on process variables, which enables more accurate prediction of probabilities and more effective minimization of rejections. The system has been implemented in Ruukki's plate mill and the tool has been found to be useful.
@inProceedings{
 title = {Kvali-Metal: A Probability Model Tool for Optimizing Product Properties in the Steel Industry},
 type = {inProceedings},
 year = {2008},
 pages = {263-271},
 id = {f877adbf-60b6-3655-bc61-986e1aa4aa97},
 created = {2019-11-19T13:01:15.301Z},
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 profile_id = {bddcf02d-403b-3b06-9def-6d15cc293e20},
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 last_modified = {2019-11-19T13:47:16.547Z},
 read = {false},
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 citation_key = {isg:1181},
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 private_publication = {false},
 abstract = {Kvali-metal is a combination of an advanced modelling approach and
a software tool. It provides an advanced probability-based
approach to planning and controlling the properties of steel
products. The most important part of the kvali-metal solution is
fitting statistical models to the mean and variance of product
properties with the aim of accurately predicting the statistical
distribution of product properties. The models are then
implemented into a software tool that is used to plan and control
properties so that the disqualification probability given by the
predicted statistical distribution is low enough. The proposed
approach takes into account the dependence of variance on process
variables, which enables more accurate prediction of probabilities
and more effective minimization of rejections. The system has been
implemented in Ruukki's plate mill and the tool has been found to
be useful.},
 bibtype = {inProceedings},
 author = {J, Juutilainen I & Röning},
 booktitle = {3rd International Conference on Process Development in Iron and Steelmaking (SCANMET III), June 8-11 2008, Luleå, Sweden}
}

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