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Title: A study of advanced control charts for complex time-between-events data
Keywords: control charts, time-between-event, Weibull distribution, Gumbel’s bivariate exponential distribution, data transformation, optimal statistical design
Issue Date: 13-Jan-2012
Citation: XIE YUJUAN (2012-01-13). A study of advanced control charts for complex time-between-events data. ScholarBank@NUS Repository.
Abstract: The time-between-events (TBE) control charts have shown to be very effective in monitoring high quality manufacturing process. This thesis reviews the current trend in the area of TBE control charts, develops an advanced control chart for the more generalized Weibull-distributed TBE data, and proposes two multivariate exponential weighted moving average (MEWMA) control charts for the Gumbel?s multivariate exponential data. The Box-Cox transformation and the double square root transformation are employed to transform the skewed populations into approximately normal distributed ones. The optimal statistical designs of the proposed control charts are investigated and guidelines for real applications are provided. The studies show that the proposed approaches do generalize the applications of TBE control charts for complex TBE data, improve the effectiveness of the TBE control charts and extend the current univariate TBE chart research topic to the multivariate control chart technique area.
Appears in Collections:Ph.D Theses (Open)

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