A new S2‐TEWMA control chart for monitoring process dispersion

Control charts are very popular quality tools used to detect and control industrial process deviations in statistical process control. The current paper presents a new triple exponentially weighted moving average (TEWMA) control chart for monitoring the process dispersion (named as S2‐TEWMA chart),...

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Bibliographic Details
Published in:Quality and reliability engineering international 2021-06, Vol.37 (4), p.1334-1354
Main Authors: Chatterjee, Kashinath, Koukouvinos, Christos, Lappa, Angeliki
Format: Article
Language:English
Subjects:
average run length
control chart
Control charts
Dispersion
exponentially weighted moving average
Monitoring
Performance evaluation
Process controls
process dispersion
Sample variance
standard deviation of run length
Statistical process control
triple exponentially weighted moving average
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Summary:Control charts are very popular quality tools used to detect and control industrial process deviations in statistical process control. The current paper presents a new triple exponentially weighted moving average (TEWMA) control chart for monitoring the process dispersion (named as S2‐TEWMA chart), based on a three‐parameter logarithmic transformation of the sample variance. A performance evaluation of the proposed chart is conducted, through Monte‐Carlo simulations, in terms of the average run length and the standard deviation of the run length. A comparison study with the S2‐EWMA, CUSUM‐S2, CS‐EWMA and S2‐HEWMA charts indicates that the S2‐TEWMA chart is more efficient, than the competing ones, in detecting small shifts in the process variability. Finally, two illustrative examples are provided to explain the application of the S2‐TEWMA control chart.
ISSN:0748-8017
1099-1638
DOI:10.1002/qre.2798