Improved Hybrid Exponentially Weighted Moving Average Control Chart using Auxiliary Information
Keyword(s):
Statistical process control is an important tool for maintaining the quality of a production process. Several control charts are available to monitor changes in process parameters. In this study, a control chart for the process mean is proposed. For this purpose, an auxiliary variable is used in the form of a regression estimator under the configuration of the hybrid exponentially weighted moving average (HEWMA) control chart. The proposed chart is evaluated by conducting a simulation study. The results showed that the proposed chart is sensitive with respect to the HEWMA chart. A real-life application is also presented to demonstrate the performance of the proposed control chart.
2019 ◽
Vol 42
(2)
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pp. 295-305
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2011 ◽
Vol 201-203
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pp. 1682-1688
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2011 ◽
Vol 337
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pp. 247-254
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2019 ◽
pp. 187-198
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2016 ◽
Vol 40
(2)
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pp. 456-461
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