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Monitoring Serially-Dependent Processes with Attribute Data

Summary: [This abstract is based on the authors' abstract.]

A situation in which unacceptable variability in a product at one point in a production sequence causes unacceptable variability in a product at the succeeding station is discussed. Traditional methods of statistical process control are ineffective in this case because a sequence of serially-dependent work stations with attribute process data is subject to instability. A control system is proposed that maintains stability irrespective of the number of stations or basic defect rates of the individual work stations in the sequence.

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  • Topics: Statistical Process Control (SPC), Data Quality
  • Keywords: Statistical process control (SPC),Regression,Process control,Correlation,Binomial distribution,Control charts,Attribute data
  • Author: Stimson, William A.; Mastrangelo, Christina M.
  • Journal: Journal of Quality Technology