• DocumentCode
    2848584
  • Title

    Automatic virtual metrology system design and implementation

  • Author

    Yi-Ting Huang ; Huang, Hsien-Cheng ; Cheng, Fan-tien ; Liao, Tai-Siang ; Chang, Fu-Chien

  • Author_Institution
    Nat. Sci. Council of the Republic of China, Taipei
  • fYear
    2008
  • fDate
    23-26 Aug. 2008
  • Firstpage
    223
  • Lastpage
    229
  • Abstract
    An automatic virtual metrology (AVM) system that consists of a model-creation server and many AVM servers is proposed. The model-creation server will generate the first set of data quality evaluation models and virtual metrology (VM) conjecture models of a certain equipment type. Under fab-wide VM deployment, the model-creation server can also fan out the first set of models generated to all the AVM servers of the same equipment type. Also, each individual fan-out-accepterpsilas AVM server can perform an automatic model refreshing process to promptly refresh its own data quality evaluation models and VM conjecture models. As such, the VM accuracy can be maintained and the AVM server is then ready to serve. This paper gives an overview to the AVM system and elaborates the automatic data quality evaluation schemes and the automatic model refreshing schemes.
  • Keywords
    measurement systems; virtual instrumentation; virtual manufacturing; automatic model refreshing schemes; automatic virtual metrology system design; data quality evaluation; model-creation server; Algorithm design and analysis; Bridges; Design automation; Design engineering; Etching; Metrology; Real time systems; Remote monitoring; USA Councils; Virtual manufacturing; AVM framework; Virtual metrology (VM); automatic data quality evaluation; automatic fanning out; automatic model refreshing; automatic virtual metrology (AVM) system; model-creation server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering, 2008. CASE 2008. IEEE International Conference on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4244-2022-3
  • Electronic_ISBN
    978-1-4244-2023-0
  • Type

    conf

  • DOI
    10.1109/COASE.2008.4626524
  • Filename
    4626524