A Comparison between the Variable Sample Size (VSS) and Variable Sampling Interval (VSI) Run Sum Charts for the Coefficient of Variation

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Wai Chung Yeong
Yen Yoon Tan
Sok Li Lim

Abstract

The run sum chart was proposed to improve the performance of detecting shifts in the coefficient of variation   , by separating the charting region into different regions where scores are assigned to these regions. Decisions about the in-control status of the process is then made based on the cumulative scores. Further improvements were made on the run sum  chart, by varying the sampling interval (VSI) and sample size (VSS) based on the current cumulative scores. Both the VSI and VSS run sum  charts show better performance than the run sum  chart. This paper compares the performance of the VSI and VSS run sum  charts, and found that the VSS run sum  charts show better performance in detecting small shifts in  , while the VSI run sum  charts show better performance for moderate and large shifts.

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