2019
DOI: 10.2355/isijinternational.isijint-2018-770
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A Mill Set-up Model Using a Multi-output Regression Tree for a Tandem Cold Mill Producing Stainless Steel

Abstract: In a tandem cold mill for stainless steel, an optimum reduction rate is necessary for each stand. A conventional mill set-up uses a lookup-table to optimize the rolling schedule. However, to reflecting all the input conditions and manual interventions on a model is difficult. In this paper, we propose a mill set-up model that can efficiently predict the reduction rate for each stand by considering various input conditions. The proposed prediction model has a multi-output tree structure with a smaller time comp… Show more

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Cited by 3 publications
(1 citation statement)
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“…This came as a surprise to us since the decision tree algorithm is often recommended to be used in industrial settings, since it is easy to use and understand and is also claimed to perform tolerably well. [39,40] The explanatory properties of decision trees are useful in an applied setting, so again, it is needed to explain classifications and predictions, and we aim to pursue this in subsequent work.…”
Section: Discussionmentioning
confidence: 99%
“…This came as a surprise to us since the decision tree algorithm is often recommended to be used in industrial settings, since it is easy to use and understand and is also claimed to perform tolerably well. [39,40] The explanatory properties of decision trees are useful in an applied setting, so again, it is needed to explain classifications and predictions, and we aim to pursue this in subsequent work.…”
Section: Discussionmentioning
confidence: 99%