Improved Nonparametric Control Chart Based on Ranked Set Sampling with Application of Chemical Data Modelling
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Date
2022Author
Rasheed, ZahidKhan, Majid
Abiodun, Nafiu Lukman
Anwar, Syed Masroor
Khalaf, G.
Abbasi, Saddam Akber
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Show full item recordAbstract
e statistical performance of parametric control charts is questionable when the underlying process does not follow any speci ed
probability distribution. Nonparametric control charts are the best substitute for this situation. On the other hand, the ranked set
sampling technique is preferred over the simple random sampling technique because it reduces the variability of process parameters and improves the control chart’s performance. is study aims to o er a nonparametric double homogeneously
weighted moving average control chart under Wilcoxon signed-rank test considering the ranked set sampling technique (regarded
as NPDHWMARSS), to further enhance the process location monitoring. e proposed chart’s run-length performance is
compared with competing control charts, such as DEWMA-X, NPDEWMA-SR, NPRDEWMA-SR, DHWMA, and
NPHWMARSS control charts. e comparison revealed that the proposed NPDHWMARSS control chart outperformed the other
competing control charts, particularly for small to moderate shifts in process location. Finally, a real-life application is also o ered
for quality practitioners to show the strength of the proposed control chart
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- Mathematics, Statistics & Physics [687 items ]
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