• DocumentCode
    2075333
  • Title

    Run to run control based on adaptive cluster method for high-mix semiconductor manufacturing processes

  • Author

    Pan, Tian-Hong ; Sheng, Bi-Qi ; Chang, Chun-Cheng ; Wong, David Shan-Hill ; Jang, Shi-Shang

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    3428
  • Lastpage
    3431
  • Abstract
    In the semiconductor manufacturing process, products with different recipe will be produced on the same tool or products with same recipe will be produced on different tools due to the capacity of tools. Therefore, it is difficult to control a mixed run production process containing low production frequency products with high profit. We proposed a control scheme which combines adaptive k-means cluster method and run-to-run control to improve the performance of low frequency products in the mixed run process. Similar products could be classified into the same group adaptively and be controlled by a EWMA controller. The cluster controller is updated by large and small frequency products, so the low frequency products can be improved by the information from similar large frequency products. The proposed control scheme is also evaluated by an industrial application.
  • Keywords
    adaptive control; process control; semiconductor industry; EWMA controller; adaptive k-means cluster method; exponentially weighted moving average controller; high-mix semiconductor manufacturing; low frequency product; run-to-run control; Artificial neural networks; Estimation; Frequency control; Manufacturing processes; Process control; Stability analysis; EWMA; Mix Product Process; Run-to-Run Control; k-means Cluster;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5572208