• DocumentCode
    1742121
  • Title

    A novel method for statistical process control of gate oxide and front-end cleans monitoring in a manufacturing environment

  • Author

    Cosway, Richard G. ; Pirastehfar, Lisa S. ; Root, R. Paul ; Roche, Thomas S. ; Naujokaitis, Janie R.

  • Author_Institution
    Motorola Inc., Chandler, AZ, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    392
  • Lastpage
    396
  • Abstract
    A novel approach to monitoring the integrity of front-end cleans and gate oxidation is presented. This approach utilizes difference statistics of the 10-, 50-, and 90-percentile values in the charge-to-breakdown (QBD) distributions. Difference statistics are utilized to achieve improvements in the signal-to-noise ratio of potential issues and to minimize the number of wafers used in the monitoring matrix. Implementation of the analyses in this statistical process control (SPC) methodology enables the origin of issues to be brought to the attention of sustaining personnel without the need for in-depth understanding of gate oxide integrity (GOI) testing, thus making it 100% applicable to a manufacturing environment
  • Keywords
    oxidation; process monitoring; statistical process control; surface cleaning; charge-to-breakdown distribution; front-end cleaning; gate oxidation; gate oxide integrity; process monitoring; semiconductor manufacturing; signal-to-noise ratio; statistical process control; Condition monitoring; Design for quality; Frequency; Manufacturing processes; Modems; Oxidation; Process control; Semiconductor device manufacture; Statistical distributions; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Semiconductor Manufacturing Conference and Workshop, 2000 IEEE/SEMI
  • Conference_Location
    Boston, MA
  • ISSN
    1078-8743
  • Print_ISBN
    0-7803-5921-6
  • Type

    conf

  • DOI
    10.1109/ASMC.2000.902617
  • Filename
    902617