• DocumentCode
    2400403
  • Title

    Optimizing a 32nm development fab´s HOL defect pareto using iDO and eADC

  • Author

    Boye, C.A. ; Yathapu, N. ; Kini, S.

  • Author_Institution
    IBM Corp., Albany, NY, USA
  • fYear
    2009
  • fDate
    10-12 May 2009
  • Firstpage
    38
  • Lastpage
    40
  • Abstract
    This paper presents a methodology for optimizing a fab defect pareto for 32 nm Health of Line (HOL). HOL involves running a selected product as a means of generating defect baseline paretos and electrical test for key process sectors. Optimizing HOL pareto consists of increasing the capture of key yield limiting defects and minimizing the capture of non yield limiting defects. This was achieved by implementing smart binning (iDO) on the BF inspection system in conjunction with auto defect classification (eADC) on the SEM review tool.
  • Keywords
    Pareto optimisation; inspection; scanning electron microscopy; BF inspection system; SEM; autodefect classification; defect baseline paretos; electrical test; fab HOL defect pareto; health-of-line; implementing smart binning; key process sectors; key yield limiting defects; size 32 nm; Apertures; Classification tree analysis; Inspection; Manufacturing; Pareto optimization; Sampling methods; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Semiconductor Manufacturing Conference, 2009. ASMC '09. IEEE/SEMI
  • Conference_Location
    Berlin
  • ISSN
    1078-8743
  • Print_ISBN
    978-1-4244-3614-9
  • Electronic_ISBN
    1078-8743
  • Type

    conf

  • DOI
    10.1109/ASMC.2009.5155949
  • Filename
    5155949