Data di Pubblicazione:
2017
Abstract:
In process control, variability in dispersion of the quality characteristic is controlled using a dispersion
control chart and it is essential to check variability before applying a location chart. Many dispersion
measures including robust measures are exposed to control charting procedure to improve
quality. The difference in estimating process dispersion when measures from center points like
mean, trimmed mean and Winsor mean and its influence in process control are studied here. This
study presents the robust control charts based on trimming and Winsorization and its performance
comparison with classical dispersion chart in terms of in-control and out-of-control signals as well
as percentage of trimming or Winsorizing. Average Run Length is also studied to ensure the performance
of charts. Performance of charts is compared based on real data also.
control chart and it is essential to check variability before applying a location chart. Many dispersion
measures including robust measures are exposed to control charting procedure to improve
quality. The difference in estimating process dispersion when measures from center points like
mean, trimmed mean and Winsor mean and its influence in process control are studied here. This
study presents the robust control charts based on trimming and Winsorization and its performance
comparison with classical dispersion chart in terms of in-control and out-of-control signals as well
as percentage of trimming or Winsorizing. Average Run Length is also studied to ensure the performance
of charts. Performance of charts is compared based on real data also.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Control Limits, Outliers, Robust Control Charts, Modified Trimmed Standard Deviation,
and Average Run Length.
Elenco autori:
Sindhumol, M. R.; Gallo, M.; Srinivasan, M. R.
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