• DocumentCode
    1898102
  • Title

    Advanced methods for analysis of lot-to-lot yield variation

  • Author

    Pak, James ; Kittler, Richard ; Wen, Ping

  • Author_Institution
    Submicron Dev. Center, Adv. Micro Devices Inc., Sunnyvale, CA, USA
  • fYear
    1997
  • fDate
    6-8 Oct 1997
  • Abstract
    An automated system for analyzing lot-to-lot yield variation has been developed and implemented at AMD´s Submicron Development Center (SDC). The automated nature of data preparation and analysis provided an efficient and accurate means to identify process excursions and sub-par processing tools. The signal detection capability of this system has been greatly enhanced by advanced features such as interaction and spatial analyses. Furthermore, its link to the inline defect monitor and the wafer-position-tracking system (WPT) added to the robustness of the system. Quick and accurate identification of process variations has led to tightening of the yield distribution and thus increased die output
  • Keywords
    data analysis; integrated circuit yield; production engineering computing; tracking; AMD; data preparation; die output; inline defect monitor; interaction; lot-to-lot yield variation; process excursions; process variations; signal detection capability; spatial analyses; sub-par processing tools; wafer-position-tracking system; yield distribution; Data analysis; Data engineering; Data mining; Databases; Manufacturing automation; Monitoring; Robustness; Signal analysis; Signal detection; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semiconductor Manufacturing Conference Proceedings, 1997 IEEE International Symposium on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-3752-2
  • Type

    conf

  • DOI
    10.1109/ISSM.1997.664556
  • Filename
    664556