DocumentCode :
2073090
Title :
Performance Prediction of Rolling Coil Based on Data Warehouse
Author :
Zhao, Xiang-Dong ; Zhang, Hao ; Lu, Jian-Feng
Author_Institution :
CIMS Res. Center, Tongji Univ., Shanghai, China
fYear :
2009
fDate :
20-22 Sept. 2009
Firstpage :
1
Lastpage :
4
Abstract :
The inspection process of rolling coil wastes time and increases cost of enterprise. The enterprise is eager to find a prediction analysis method which can predict performance of rolling coil by some of relative data. Data Warehouse provide plenty of data for performance prediction. Because productive process is complicated, the statistical analysis method and the traditional machine learning method have some limitations in the application in this field. This paper reviews the construction of data warehouse and use support vector machine to solve the prediction problem. It is proved that by using the support vector machine, the enterprise´s requirement can be met, and it can improve efficiency of production.
Keywords :
data warehouses; learning (artificial intelligence); quality control; statistical analysis; support vector machines; data warehouse; enterprise; machine learning method; performance prediction; prediction analysis method; rolling coil; statistical analysis method; support vector machine; Coils; Computer integrated manufacturing; Costs; Data warehouses; Inspection; Learning systems; Performance analysis; Predictive models; Statistical analysis; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
Type :
conf
DOI :
10.1109/ICMSS.2009.5301042
Filename :
5301042
Link To Document :
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