Application of new Apriori algorithm MDNC to TFT-LCD array manufacturing yield improvement
by Chiung-Fen Huang, Ruey-Shun Chen
International Journal of Computer Applications in Technology (IJCAT), Vol. 28, No. 2/3, 2007

Abstract: With the trend and demand of larger panels and higher resolution in Thin Film Transistor-Liquid Crystal Display (TFT-LCD) panels, yield improvement has become the key factor in TFT-LCD manufacturing. This paper presents a successful and effective data mining methodology for TFT-LCD manufacturing yield improvement. We have modified an Apriori algorithm called Multi-Dimension Non-Continuous (MDNC) by eliminating the limitations imposed by traditional pattern matching of continuous data, to mine the association rules in the cross-day discrete manufacturing data and find out some valuable information. The results show how to effectively locate any machine with low yield and vastly improve it in TFT-LCD large panel manufacturing yield-rate, thereby reducing the manufacturing cycle time, the frequency of holding lot by adaptation of MDNC.

Online publication date: Sun, 22-Apr-2007

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com