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AuthorRasheed, Zahid
AuthorKhan, Majid
AuthorAbiodun, Nafiu Lukman
AuthorAnwar, Syed Masroor
AuthorKhalaf, G.
AuthorAbbasi, Saddam Akber
Available date2023-05-28T10:11:28Z
Publication Date2022
Publication NameMathematical Problems in Engineering
ResourceScopus
URIhttp://dx.doi.org/10.1155/2022/7350204
URIhttp://hdl.handle.net/10576/43515
Abstract 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
Languageen
PublisherHindawi Limited
SubjectFlowcharting
Probability distributions
Process monitoring
Statistical process control
Chemical data
Nonparametric control charts
Parametric control
Probability: distributions
Process location
Process parameters
Ranked set sampling
Sampling technique
Simple random sampling
Statistical performance
Control charts
TitleImproved Nonparametric Control Chart Based on Ranked Set Sampling with Application of Chemical Data Modelling
TypeArticle
Volume Number2022
dc.accessType Open Access


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