A look-ahead back propagation network to predict wafer lot output time

Tin-Chih Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Output time prediction is a critical task to a wafer fab (fabrication plant). However, traditional wafer lot output time prediction methods are based on the historical data of the fab. The importance of the (future) release plan has been neglected. In addition, a lot that will be released in the future might appear in front of another lot that currently exists in the fab. For these reasons, to further improve the accuracy of wafer lot output time prediction, the future release plan of the fab has to be considered and the traditional BPN can be restructured by incorporating the plan. A look-ahead BPN called the BPNf is then constructed. For evaluating the effectiveness and efficiency of the BPNf and to make some comparisons with two traditional approaches - BPN and CBR, PS is applied in this study to generate test data. Then all the three methods are applied to five cases elicited from the test data. According to experimental results, the prediction accuracy represented with the RMSE of the BPNf was significantly better than those of the other approaches in all cases by achieving a 5%-24% (and an average of 12%) reduction in the RMSE over the comparison basis - the BPN. The advantage over the CBR was 1%-12%.

Original languageEnglish
Pages (from-to)910-915
Number of pages6
JournalWSEAS Transactions on Computers
Volume5
Issue number5
StatePublished - 1 May 2006

Keywords

  • Back propagation network
  • Future release plan
  • Fuzzy set application
  • Output time prediction

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