Cycle time prediction in wafer fabrication line by applying data mining methods

Author(s):  
Israel Tirkel
2006 ◽  
Vol 19 (2) ◽  
pp. 252-258 ◽  
Author(s):  
P. Backus ◽  
M. Janakiram ◽  
S. Mowzoon ◽  
G.C. Runger ◽  
A. Bhargava

2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Toly Chen ◽  
Richard Romanowski

Many data mining methods have been proposed to improve the precision and accuracy of job cycle time forecasts for wafer fabrication factories. This study presents a fuzzy data mining approach based on an innovative fuzzy backpropagation network (FBPN) that determines the lower and upper bounds of the job cycle time. Forecasting accuracy is also significantly improved by a combination of principal component analysis (PCA), fuzzy c-means (FCM), and FBPN. An applied case that uses data collected from a wafer fabrication factory illustrates this fuzzy data mining approach. For this applied case, the proposed methodology performs better than six existing data mining approaches.


Author(s):  
I.M. Burykin ◽  
◽  
G.N. Aleeva ◽  
R.Kh. Khafizianova ◽  
◽  
...  
Keyword(s):  

2021 ◽  
pp. 111144
Author(s):  
Yuzhou Wang ◽  
Zhengfei Li ◽  
Huanxin Chen ◽  
Jianxin Zhang ◽  
Qian Liu ◽  
...  

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 228598-228604
Author(s):  
Yongqiang Zhao ◽  
Shirui Pan ◽  
Jia Wu ◽  
Huaiyu Wan ◽  
Huizhi Liang ◽  
...  

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