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Design and evaluation of an enhanced nonparametric EWMA sign control chart for effective monitoring of industrial processes

Muhammad Abid

Journal of Statistical Computation and Simulation2026https://doi.org/10.1080/00949655.2026.2637822article
ABDC C
Weight
0.50

What the paper says

Parametric control charts are most effective when the distribution of the industrial process is normal and their use is doubtful for practitioners in case of the non-normal processes. Non-parametric control charts are helpful to rectify this deficiency of parametric control charts. Recently, non-parametric control charts based on the ranked set sampling (RSS) technique have been suggested in statistical process monitoring literature for efficient monitoring of process parameter(s). However, no study as of yet developed a non-parametric chart using the median RSS (MRSS) scheme. This study suggests a new non-parametric EWMA MRSS sign chart (named as EWMA<sub>MRSN</sub>) for normal, non-normal and contaminated normal environments. Based on various run-length and overall performance measures, it is revealed that the EWMA<sub>MRSN</sub> chart performs better to detect small and persistent changes in the process than existing competitor charts. Simulated and real-life data examples are also provided for practical demonstration of the EWMA<sub>MRSN</sub> chart.

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https://doi.org/https://doi.org/10.1080/00949655.2026.2637822

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@article{muhammad2026,
  title        = {{Design and evaluation of an enhanced nonparametric EWMA sign control chart for effective monitoring of industrial processes}},
  author       = {Muhammad Abid},
  journal      = {Journal of Statistical Computation and Simulation},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/00949655.2026.2637822},
}

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Design and evaluation of an enhanced nonparametric EWMA sign control chart for effective monitoring of industrial processes

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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