A job-classifying and data-mining approach for estimating job cycle time in a wafer fabrication factory

2011 ◽  
Vol 62 (1-4) ◽  
pp. 317-328 ◽  
Author(s):  
Toly Chen
Keyword(s):  
Data Mining ◽  
Cycle Time ◽  
Wafer Fabrication ◽  
Data Mining Approach

scholarly journals Precise and Accurate Job Cycle Time Forecasting in a Wafer Fabrication Factory with a Fuzzy Data Mining Approach

2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Toly Chen ◽  
Richard Romanowski
Keyword(s):  
Data Mining ◽  
Cycle Time ◽  
Principal Component ◽  
Wafer Fabrication ◽  
Fuzzy Data ◽  
Lower And Upper Bounds ◽  
Forecasting Accuracy ◽  
Data Mining Approach ◽  
Backpropagation Network ◽  
Better Than

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.

Factory Cycle-Time Prediction With a Data-Mining Approach

2006 ◽  
Vol 19 (2) ◽  
pp. 252-258 ◽  
Author(s):  
P. Backus ◽  
M. Janakiram ◽  
S. Mowzoon ◽  
G.C. Runger ◽  
A. Bhargava
Keyword(s):  
Data Mining ◽  
Cycle Time ◽  
Time Prediction ◽  
Data Mining Approach

Data mining approach to construction productivity prediction for cutter suction dredgers

2019 ◽  
Vol 105 ◽  
pp. 102833 ◽  
Author(s):  
Shuo Bai ◽  
Mingchao Li ◽  
Rui Kong ◽  
Shuai Han ◽  
Heng Li ◽  
...  
Keyword(s):  
Data Mining ◽  
Construction Productivity ◽  
Data Mining Approach ◽  
Productivity Prediction
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