Beyond the EWMA chart: Critiquing hybrid approaches

Haq, Abdul

doi:10.1002/qre.3471

Cited by 2 publications

(1 citation statement)

References 16 publications

(46 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The reader may consult these papers for further clarity. The simple moving averages-based EWMA control chart has an issue in assigning the weights as the statistic assigns more weight to the past observations 33 . This problem occurs as all the observations are assigned equal weights to calculate moving averages.…”

Section: Proposed MM Ewma Control Chart For Joint Monitoringmentioning

confidence: 99%

Max-mixed EWMA control chart for joint monitoring of mean and variance: an application to yogurt packing process

Malik,

Hanif,

Noor-ul-Amin

et al. 2024

Sci Rep

View full text Add to dashboard Cite

The Max-Mixed EWMA Exponentially Weighted Moving Average (MM EWMA) control chart is a statistical process control technique used for joint monitoring of the mean and variance of a process. This control chart is designed to detect small and moderate shifts in the mean and variance of a process by comparing the maximum of two statistics, one based on the mean and the other on the variance. In this paper, we propose a new MM EWMA control chart. The proposed chart is compared with existing control charts using simulation studies, and the results show that the chart performs better in detecting small and moderate shifts in both the mean and variance. The proposed chart can be helpful in quality control applications, where joint monitoring of mean and variance is necessary to ensure a product’s or process’s quality. The real-life application of the proposed control chart on yogurt packing in a cup data set shows the outperformance of the MM EWMA control chart. Both simulations & real-life application results demonstrate the better performance of the proposed chart in detecting smaller shifts during the production process.

show abstract

Section: Proposed MM Ewma Control Chart For Joint Monitoringmentioning

confidence: 99%

Max-mixed EWMA control chart for joint monitoring of mean and variance: an application to yogurt packing process

Malik,

Hanif,

Noor-ul-Amin

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

Extended GWMA control charts: A critical evaluation

Haq,

Woodall

2024

Quality & Reliability Eng

View full text Add to dashboard Cite

We demonstrate that the recently introduced triple generally weighted moving average (GWMA) chart and its counterpart, the double GWMA chart, incorporate sub‐optimal weighting patterns that may assign more weight to certain historical data points at the expense of more recent ones. Moreover, these control charts, when compared to the exponentially weighted moving average (EWMA) chart, exhibit a substantial computational burden. Our findings underscore that a well‐designed EWMA chart offers superior overall performance in comparison to these control charts.

show abstract

Beyond the EWMA chart: Critiquing hybrid approaches

Cited by 2 publications

References 16 publications

Max-mixed EWMA control chart for joint monitoring of mean and variance: an application to yogurt packing process

Max-mixed EWMA control chart for joint monitoring of mean and variance: an application to yogurt packing process

Extended GWMA control charts: A critical evaluation

Contact Info

Product

Resources

About