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Monitoring Processes with Highly Censored Data

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

There is a ubiquitous need for process monitoring in industry. Process changes can be detected rapidly by monitoring process output, and problems may be corrected. In many industrial and medical applications, however, observations are censored because of inherent limitations or cost/time constraints. For example, when testing breaking strengths or failure times, a limited stress test is often performed, with only a small percentage of the true failure strengths or failure time observed. A direct application of traditional monitoring procedures is not appropriate with highly censored observations. Shewhart-type X and S control charts based on the conditional expected value weight may be used for monitoring processes where the censoring occurs at a fixed level. An example illustrating the application of this methodology is provided.

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  • Topics: Data Quality, Process Management
  • Keywords: Control charts,Censored data,Implementation,Process management
  • Author: Steiner, Stefan H.; Mackay, R. Jock
  • Journal: Journal of Quality Technology