Principal component analysis (PCA) is a multivariate statistical analysis method. This method constructs a series of linear combinations of the original variables to form a new variable, so that these new variables are unrelated to each other as much as possible to reflect information in a better way. A fuzzy PCA and fuzzy back propagation network (FPCA-FBPN) approach is proposed in this study for forecasting the cycle time of a job in a wafer fabrication factory, which is a critical task to the wafer fabrication factory. For evaluating the effectiveness of the proposed methodology, production simulation is also applied in this study to generate some test data.
|Number of pages||5|
|Journal||International Review on Computers and Software|
|State||Published - 1 Dec 2011|
- Back propagation network
- Cycle time
- Fuzzy principal component analysis
- Wafer fabrication factory