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Design of Multiple Cause-Seeking Charts for Multistage Processes with Model Uncertainty

Summary: [This abstract is based on the authors' abstract.] The multiple cause-seeking chart (MCSC) is an extension of the cause-seeking chart (CSC) for monitoring multistage processes that is used when the output measure is a function of multiple input measures. However, traditional MCSC designs fail to take model parameter uncertainties into account when estimating control limits. MCSC designs using prediction limits to account for these uncertainties are proposed. The limits are developed using the least-squares estimation and principal component regression. Simulation results demonstrate that the prediction limits effectively maintain a satisfactory false-alarm rate.

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  • Topics: Statistical Process Control (SPC)
  • Keywords: Multi-component constraints,Multiple assignable causes,Parameters,False alarm rate (FAR),Uncertainty,Control charts,Design of control charts,Statistical process control (SPC)
  • Author: Shu, Lianjie; Tsung, Fugee; Kapur, Kailash C.
  • Journal: Quality Engineering