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Small Sample Properties of an Adaptive Filter Applied to Low Volume SPC

Summary: [This abstract is based on the authors' abstract. A longer abstract is available on the journal's website.]

In many instances manufacturing emphasis has shifted from regular production and delivery of large orders to infrequent small orders. However, the need to maintain the same high quality and reliability standards remains unchanged. To meet this challenge, certain areas require closer attention, specifically the issue of low volume statistical process control. An adaptive filtering approach to process monitoring is investigated. Emphasis is on estimation and minimization of mean squared error rather than methods traditionally associated with process control charting. It is shown that far fewer data values are needed than is typically recommended for process control applications. The techniques are demonstrated with a case study from the nuclear weapons manufacturing complex.

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  • Topics: Sampling, Statistical Process Control (SPC)
  • Keywords: Quality improvement (QI),Control charts,Sample size,Statistical process control (SPC)
  • Author: Crowder, Stephen V.; Eshleman, Larry
  • Journal: Journal of Quality Technology