Title :
Optimum quality design support system for steel products using locally-weighted regression model
Author :
Shigemori, Hiroyasu ; Kawamura, Shuji
Author_Institution :
JFE Steel Corp., Okayama
Abstract :
A new quality design support system for steel products using a locally-weighted regression model was developed by utilizing a data mining tool. Design accuracy was improved and design time was shortened in comparison with the conventional technique. The system was applied practically at JFE Steel´s West Japan Works and is contributing to reduction of quality deviations and production costs.
Keywords :
data mining; product design; regression analysis; steel; data mining; locally-weighted regression model; quality design support system; steel product; Costs; Data mining; Electronic mail; Linear regression; Mechanical factors; Predictive models; Product design; Production; Quality control; Steel; Locally-weighted regression model; data mining; quality design; steel products;
Conference_Titel :
SICE, 2007 Annual Conference
Conference_Location :
Takamatsu
Print_ISBN :
978-4-907764-27-2
Electronic_ISBN :
978-4-907764-27-2
DOI :
10.1109/SICE.2007.4421095
