• DocumentCode
    3064054
  • Title

    Sampling methodology for SEM-based defect classification: risk, cost, and benefit analysis

  • Author

    Akella, Ram ; Lin, Chih-Hung ; Chitturi, Prasanna

  • Author_Institution
    Stanford Univ., CA, USA
  • fYear
    1998
  • fDate
    1998
  • Firstpage
    319
  • Lastpage
    323
  • Abstract
    The current paper analyzes the relative merits of optical and SEM-based defect classification systems, the needs and costs associated with these systems, and the factors limiting the usability of these systems. In particular, we consider the impact of throughput rate and classification accuracy, on excursion detection and the resulting economic benefits. The paper includes a discussion of these models and a comparison is made to obtain the maximum benefits from existing optical and SEM review and classification methodologies. Scenarios for 0.25 micron fabs are used to indicate the procedures and policies that are the most effective from a fab economic perspective
  • Keywords
    cost-benefit analysis; flaw detection; inspection; integrated circuit economics; integrated circuit modelling; integrated circuit yield; process monitoring; sampling methods; scanning electron microscopy; statistical process control; 0.25 micron; SEM-based defect classification; automated process; classification accuracy; classification methodology; economic benefits; excursion detection; in-line monitoring; optical-based defect classification; review methodology; risk/cost/benefit analysis; sampling methodology; semiconductor manufacturing; throughput rate; yield management; Cost benefit analysis; Inspection; Optical materials; Risk analysis; Sampling methods; Semiconductor device manufacture; Semiconductor device modeling; Technology management; Throughput; Usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Solid-State and Integrated Circuit Technology, 1998. Proceedings. 1998 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-4306-9
  • Type

    conf

  • DOI
    10.1109/ICSICT.1998.785885
  • Filename
    785885