• DocumentCode
    1579828
  • Title

    Equipment productivity improvement via inline qualification implementation

  • Author

    Lafferty, Neal ; Fiol, Bennie ; Jowett, Paul ; Karzhavin, Yuri ; Urenda, Tim

  • Author_Institution
    Rochester Inst. of Technol., NY, USA
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    218
  • Lastpage
    222
  • Abstract
    This paper discusses inline etch equipment qualification implementation at the 200 mm Infineon Technologies Richmond fab. Traditional etch equipment qualification requires offline etching of test blanket (or pattern) wafers of known thickness during a defined period. The process etch rate can be calculated using known film thickness and etch time. Data is obtained using an SPC system, which is then used to qualify the tool set. As a part of process control and data acquisition, time of etch is currently being monitored for automatic endpoint steps. The etch time is collected by an equipment integration software package, which communicates directly with the tool and records readings from sensors, step times, and other process conditions. The etch time is then combined with SPC gathered pre etch film thickness to determine an inline, on product, process etch rate. This gives the ability to monitor a chamber´s performance without a costly break in the production for purposes of running a test wafer. This also allows instant detection of an out of control (OOC) process and prevents a significant scrap event.
  • Keywords
    computer integrated manufacturing; data acquisition; etching; integrated circuit manufacture; process monitoring; statistical process control; CIM software; SPC system; automatic endpoint steps; chamber conditions; cost savings benefit; data acquisition; equipment integration software package; etch rate monitor; etch time; film thickness; inline etch equipment qualification; manufacturing equipment productivity improvement; out of control process detection; process control; process etch rate; semiconductor manufacturing; Computerized monitoring; Data acquisition; Etching; Event detection; Process control; Production; Productivity; Qualifications; Software packages; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Semiconductor Manufacturing 2002 IEEE/SEMI Conference and Workshop
  • Print_ISBN
    0-7803-7158-5
  • Type

    conf

  • DOI
    10.1109/ASMC.2002.1001607
  • Filename
    1001607