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Automated sampling decision scheme for the AVM system

Author

Listed:
  • Fan-Tien Cheng
  • Yao-Sheng Hsieh
  • Chun-Fang Chen
  • Jhao-Rong Lyu

Abstract

Reducing the sampling rate to as low as possible is a high priority for many factories to reduce production cost. Automatic virtual metrology based intelligent sampling decision (ISD) scheme had been previously developed for reducing the sampling rate and sustaining the virtual metrology (VM) accuracy. However, the desired sampling rate of the ISD scheme is fixed and set manually. Hence, whenever the VM accuracy gets worse, it cannot adaptively increase the default sampling rate in the ISD scheme. As a consequence, it would take more time to collect enough samples for improving the VM accuracy. Moreover, when the VM accuracy performs well all the time, it cannot automatically decrease the default sampling rate in ISD, which may result in unnecessary waste. Accordingly, this paper proposes an automated sampling decision (ASD) scheme to adaptively and automatically modify the sampling rate online and in real time for continuous improvement. The ASD scheme can monitor the VM accuracy online as well as update the VM models in real time for maintaining the VM accuracy when the VM accuracy becomes poor. Also, the ASD scheme can automatically reduce the sampling rate while the VM accuracy performs well.

Suggested Citation

  • Fan-Tien Cheng & Yao-Sheng Hsieh & Chun-Fang Chen & Jhao-Rong Lyu, 2016. "Automated sampling decision scheme for the AVM system," International Journal of Production Research, Taylor & Francis Journals, vol. 54(21), pages 6351-6366, November.
    • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:21:p:6351-6366
    DOI: 10.1080/00207543.2015.1072649
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