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- W1987268509 abstract "Recent studies has demonstrated the adaptive (i.e., variable sample sizes, sampling intervals, and/or action limit coefficients) X¯ charts are quicker than standard Shewhart (SS) X¯ control chart in detecting process mean shifts. The usual assumption for designing a control chart is that the data or measurements are normally distributed. However, this assumption may not be true for some processes. In this paper, the performance of the adaptive X¯ chart is evaluated under non-normality. Based on the study, it is shown that the variable parameters (VP) X¯ chart is more effective than the other adaptive control charts in detecting small process mean shifts under non-normality. More importantly, the risk of false alarm of the VP X¯ chart can be substantially decreased." @default.
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- W1987268509 date "2007-01-01" @default.
- W1987268509 modified "2023-09-26" @default.
- W1987268509 title "Non-normality and the variable parameters control charts" @default.
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- W1987268509 doi "https://doi.org/10.1016/j.ejor.2005.06.051" @default.
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