Advanced semiconductor fabrication process control using dual filter exponentially weighted moving average

Hyo Heon Ko, Jihyun Kim, Sang Hoon Park, Jun-Geol Baek, Sung Shick Kim

Research output: Contribution to journalArticle

3 Citations (Scopus)


Semiconductor industry needs to meet high standards to ensure survival and success in the 21st century. Rising expectations from the customers are demanding the semiconductor industry to manufacture products with both accuracy and precision. To comply with the strict demands, an effective control method for semiconductor manufacturing is introduced. The process environment is afflicted by process disturbances. Different characteristics of the process disturbances require the controlmethod to be able to respond accordingly. This study utilizes two separate exponentially weighted moving average (EWMA) filters simultaneously to improve the performance of the control method. By utilizing dual filters, the influence of the white noise is reduced and the accurate process control is made possible. The proposed methodology is evaluated through simulation in comparison with two other control methods.

Original languageEnglish
Pages (from-to)443-455
Number of pages13
JournalJournal of Intelligent Manufacturing
Issue number3
Publication statusPublished - 2012 Jun 1



  • Dual filter EWMA
  • EWMA
  • Process control
  • Run-to-run
  • Semiconductor fabrication process

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Industrial and Manufacturing Engineering

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