Title :
Data Mining for the Optimization in Manufacturing Process
Author_Institution :
Key Lab. Opto-Electron. Technol. & Intell. Control, Lanzhou Jiaotong Univ., Lanzhou, China
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;
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
DOI :
10.1109/IWISA.2010.5473459
