• DocumentCode
    3313823
  • Title

    Cycle prediction EWMA run-to-run controller for mixed-product drifting process

  • Author

    Ai, B. ; Zheng, Y. ; Zhang, H. ; Wang, Z. ; Zhang, Z.

  • Author_Institution
    Control Sci. & Eng. Dept., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    1908
  • Lastpage
    1913
  • Abstract
    In semiconductor manufacturing processes, mixed-products are usually fabricated on the same set of process tool with different recipes. Run-to-run controllers which based on the exponential weighted moving average (EWMA) statistic are probably the most frequently used in industry for the quality control of certain semiconductor manufacturing process steps. However, for mixed-product drifting process, if the break length of a product is large, then the process output at the beginning runs of cycle 1,2,¿ will be far deviated from target which will lead to a possible high rework rate and lots of waste wafers. Therefore, this study aims to develop a cycle prediction EWMA (CP-EWMA) approach to deal with the problem of large deviations in the first few runs of cycle 1,2,¿. Simulation study showed that the proposed approaches are effective.
  • Keywords
    exponential distribution; predictive control; semiconductor device manufacture; EWMA statistic; break length; cycle prediction EWMA run-to-run controller; exponential weighted moving average; mixed-product drifting process; semiconductor manufacturing process; waste wafer; Error analysis; Industrial control; Manufacturing industries; Manufacturing processes; Optimal control; Production; Quality control; Semiconductor device manufacture; Stability; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5400660
  • Filename
    5400660