• DocumentCode
    2276527
  • Title

    Leveraging Advanced Process Control (APC) technology in developing Predictive Maintenance (PdM) systems

  • Author

    Moyne, J. ; Ward, N. ; Hawkins, P.

  • Author_Institution
    Appl. Mater., Appl. Global Services, Santa Clara, CA, USA
  • fYear
    2012
  • fDate
    15-17 May 2012
  • Firstpage
    221
  • Lastpage
    226
  • Abstract
    Predictive Maintenance (PdM) systems use process and equipment state information to predict when a tool or a particular component in a tool might need maintenance. PdM systems can be realized cost-effectively by leveraging Advanced Process Control (APC) technologies and infrastructure. APC data collection infrastructure can provide the state information necessary for prediction. APC fault detection systems contain necessary algorithms to identify features important to prediction, including tool health. In leveraging APC systems in a reusable and reconfigurable way, cost-effective PdM systems can be realized as part of existing fab infrastructure, leading to lower unscheduled downtimes, reduced mean-time-to-repair, reduced scrap, and increased life of components and consumables.
  • Keywords
    maintenance engineering; process control; semiconductor industry; APC data collection infrastructure; APC fault detection system; advanced process control technology; predictive maintenance system; semiconductor industry; tool health; Data models; Fault detection; Maintenance engineering; Predictive models; Process control; Prognostics and health management; Schedules; APC; Advanced Process Control; PHM; PdM; Predictive Maintenance; Prognostics Health Management; unscheduled downtime;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Semiconductor Manufacturing Conference (ASMC), 2012 23rd Annual SEMI
  • Conference_Location
    Saratoga Springs, NY
  • ISSN
    1078-8743
  • Print_ISBN
    978-1-4673-0350-7
  • Type

    conf

  • DOI
    10.1109/ASMC.2012.6212893
  • Filename
    6212893