A New Non-Parametric Control Chart for Controlling Variability

Abstract Control charts are used as a statistical process control or SPC tool to identify the presence of assignable cause of variation in the process. Despite of immense use and acceptability of parametric control chart, non-parametric control chart is an emerging area of recent development in the theory of SPC. The main advantage of non-parametric control charts is that it does not require any knowledge about the underlying distribution of the variable. Some researchers have developed different non- parametric control charts for controlling location parameter. Since there exists a very few literature on non-parametric control chart for controlling variability or dispersion we have proposed a chart based on some non-parametric test on variability. We have compared its in control state performance with Shewhart S chart for different distributions and established it as better performer. We have computed its efficiency to detect shift in variability under different situations and have shown its uses by taking a practical data set.

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