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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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DOI：10.1080/00949655.2026.2637822.png)
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Abstract
En 中文
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 EWMAMRSN) for normal, non-normal and contaminated normal environments. Based on various run-length and overall performance measures, it is revealed that the EWMAMRSN 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 EWMAMRSN chart.
Keywords:
Control chart
EWMA
non-parametric
run length profile
real-life
sign test
Journal
J
IF:
1.2
Papers:
114
Citations:
4.1K
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Cited Papers