Abstract
Shewhart control charts are extensively used in practice to monitor changes in process characteristics from the in-control state. In Phase I, the initial estimate of μ is based on the 10% trimmed mean of the sample trimeans. This estimator is robust against both localized and diffuse disturbances so that the limits of the Phase I control chart are not affected by potential disturbances. The Phase I data are then screened for localized and diffuse disturbances by means of Phase I sample location and individuals control charts. At the end of Phase I, μ is estimated from the screened data using the grand sample mean, thus ensuring efficiency. The stepwise procedure, together with the procedure for estimating the standard deviation delivers an easy-to-implement procedure for setting up a robust monitoring device.
| Original language | English |
|---|---|
| Pages (from-to) | 246-252 |
| Number of pages | 7 |
| Journal | Quality Engineering |
| Volume | 26 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2014 |
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Industrial and Manufacturing Engineering
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