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- W3190052023 endingPage "20210135" @default.
- W3190052023 startingPage "20210135" @default.
- W3190052023 abstract "Control charts are used to improve the quality of outputs in manufacturing, industrial, and service processes. The parametric control charts produce more false alarms and unacceptable out-of-control signals when the underlying distribution of the process is not normal. Nonparametric/distribution-free control charts are efficient alternatives to overcome the said situation. In this article, the performance of a distribution-free double exponentially weighted moving average (EWMA) chart has been investigated based on the sign test statistic under simple and ranked set sampling schemes. The run-length properties of the proposed charts have been evaluated and compared with nonparametric EWMA sign, parametric EWMA, and parametric double EWMA control charts, using different run-length measures. The comparison reveals the efficiency of the proposed chart over its alternatives in detecting small and medium shifts in the process location. A real-data application using the substrate manufacturing process has been provided to show the implementation of the proposed chart." @default.
- W3190052023 created "2021-08-16" @default.
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- W3190052023 date "2021-08-12" @default.
- W3190052023 modified "2023-10-01" @default.
- W3190052023 title "A New Distribution-Free Control Chart for Monitoring Process Median Based on the Statistic of the Sign Test" @default.
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- W3190052023 doi "https://doi.org/10.1520/jte20210135" @default.
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