• DocumentCode
    3120871
  • Title

    Overlay metrology sampling capability analysis and implementation in manufacturing

  • Author

    Sullivan, Daniel B. ; Conrad, Edward W. ; Smyth, John S.

  • Author_Institution
    Mask Lithogr., IBM Microelectron., Essex Junction, VT, USA
  • fYear
    2004
  • fDate
    4-6 May 2004
  • Firstpage
    208
  • Lastpage
    212
  • Abstract
    This paper outlines a technique for determining the sampling capability ratio (Csk)for overlay metrology and the implementation into the manufacturing line. This technique is analogous to the traditionally used process capability ratio (Cpk) with modifications to account for the systematic nature of misalignment. Specifically, the Csk analysis is based only on historical data which was available for metrology skips, uses modeled systematic data, and uses a statistical analysis based on the lognormal distribution including confidence intervals, and normality checking. In addition, upgrades to the statistical process control (SPC) strategy in photolithography are outlined as well as a future upgrade to the current system known as adaptive sampling.
  • Keywords
    integrated circuit manufacture; log normal distribution; photolithography; sampling methods; statistical process control; SPC; adaptive sampling; lognormal distribution; metrology skips; photolithography; sampling capability analysis; statistical analysis; statistical process control; Costs; Lithography; Logic devices; Metrology; Microelectronics; Process control; Programmable control; Pulp manufacturing; Sampling methods; Semiconductor device manufacture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Semiconductor Manufacturing, 2004. ASMC '04. IEEE Conference and Workshop
  • Print_ISBN
    0-7803-8312-5
  • Type

    conf

  • DOI
    10.1109/ASMC.2004.1309567
  • Filename
    1309567