Quality Engineering · 2008 · 177 citations · 23 references
ManagementSystems EngineeringProcess ControlStatisticsUncertainty QuantificationChart DesignControl ChartsStatistical Process ControlControl ChartingFalse Alarm AnalysisFalse Alarm ControlFalse Alarm Rate AnalysisPhase I Control Chart AnalysisPhase I Control Chart DesignProcess Control ChartsUnivariate Analysis
Phase I analysis is a key component of SPC programs, where control charts are essential. The paper reviews literature on Phase I parametric control charts for univariate data. The authors use the joint distribution of charting statistics to control false‑alarm probability in Phase I charts, accounting for dependent multiple signaling events. An illustrative example is provided, and the authors suggest future research directions. Keywords: change‑point, exponential distribution, false‑alarm probability, false‑alarm rate, mean normal distribution, Phase II prospective/retrospective variance; acknowledgements to referees, editor, Department of Statistics, and STATOMET.
ABSTRACT In practice, Phase I analysis constitutes an integral part of an overall SPC program in which control charts play a crucial role. An overview of the literature on Phase I parametric control charts for univariate variables data is presented. Since the Phase I signaling events are dependent and multiple signaling events are to be dealt with simultaneously in making an in-control or out-of-control decision, the joint distribution of the charting statistics is used to control the false alarm probability, which is defined as the probability of at least one false alarm, while designing the charts. An example is given. Concluding remarks include suggestions regarding future research problems. KEYWORDS: change-pointexponential distributionfalse alarm probability (FAP)false alarm rate (FAR)meannormal distributionPhase IIprospectiveretrospectivevariance ACKNOWLEDGEMENTS We thank the referees and the editor for their constructive comments and suggestions. The second and third authors would also like to thank the Department of Statistics and STATOMET of the University of Pretoria for support.
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Introduction to Statistical Quality Control
Roger Sauter, Douglas C. Montgomery · Technometrics · 1992 · 7.9K citations
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