DocumentCode
2482217
Title
Data Mining for the Optimization in Manufacturing Process
Author
He, Tao
Author_Institution
Key Lab. Opto-Electron. Technol. & Intell. Control, Lanzhou Jiaotong Univ., Lanzhou, China
fYear
2010
fDate
22-23 May 2010
Firstpage
1
Lastpage
4
Abstract
In the real manufacturing process, many conditions influence its process. However, there are three important factors consisting of final customer feedback information, flexible manufacturing and supplier selection affect the manufacturing process. In order to satisfy the real requirements of manufacturing process, this paper employs association rule mining of data mining technology including the above three factors to optimize the process of manufacturing.
Keywords
customer relationship management; data mining; manufacturing processes; production engineering computing; association rule mining; customer feedback information; customer relationship management; data mining; manufacturing process optimisation; supplier relationship management; Association rules; Companies; Costs; Customer relationship management; Customer satisfaction; Data envelopment analysis; Data mining; Flexible manufacturing systems; Manufacturing processes; Virtual manufacturing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5872-1
Electronic_ISBN
978-1-4244-5874-5
Type
conf
DOI
10.1109/IWISA.2010.5473459
Filename
5473459
Link To Document