Optimized fuzzy-neuro system for scheduling wafer fabrication

Tin-Chih Chen*

*Corresponding author for this work

Research output: Contribution to journalArticle

9 Scopus citations


Optimized fuzzy-neuro system is proposed to improve performance of scheduling jobs in a wafer fabrication factory (WFF). Fluctuation smoothing rules are normalized. Remaining cycle time of a job is accurately estimated by applying selforganization map with fuzzy back propagation network (SOM-FBPN). Division operator is applied instead of traditional subtraction operator to enhance responsiveness of fuzzy rule. Production simulation using proposed methodology outperformed existing approaches in reducing average cycle time and cycle time standard deviation.

Original languageEnglish
Pages (from-to)680-685
Number of pages6
JournalJournal of Scientific and Industrial Research
Issue number8
StatePublished - 1 Aug 2009


  • Optimized fuzzy-neuro system
  • Scheduling
  • Wafer fabrication

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