Evaluating lot output time forecast achievability in a wafer fab with a systematic procedure

Yu Cheng Lin, Tin-Chih Chen*

*Corresponding author for this work

Research output: Contribution to journalReview article

Abstract

A systematic procedure is proposed in this study for output time forecast achievability evaluation in a wafer fab (fabrication plant), which is a critical task to the wafer fab. At first, a BPN is used to predict the output time of a wafer lot. Subsequently, a set of fuzzy inference rules (FIRs) is established to evaluate the achievability of an output time forecast, which is defined as the possibility that the fabrication on the wafer lot can be finished in time before the output time forecast. Managerially, achievability is as important as the other two performance measures in this field: precision and efficiency. However, the evaluation of achievability has not been investigated in traditional studies.

Original languageEnglish
Pages (from-to)1868-1874
Number of pages7
JournalWSEAS Transactions on Systems
Volume5
Issue number8
StatePublished - 1 Aug 2006

Keywords

  • Achievability
  • Back propagation network
  • Fuzzy inference rules
  • Output time prediction
  • Systematic procedure
  • Wafer fab

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