Journal of Quality Technology · 1998 · 165 citations · 18 references
ManagementOperations ManagementOperations AnalyticsQueuing TheoryTime Series AnalysisChart DesignControl ChartsStatistical GraphicsControl Chart AnalysisControl ChartingExponentially Weighted Moving Average ChartsInterarrival Time DistributionsInterarrival TimesOne-sided Control ChartsProcess Control ChartsRun Length Analysis
The paper develops EWMA control charts for monitoring rare event rates via interarrival times and investigates boundary effects, proposing practical boundary selections. Exact average run lengths are derived through differential equations, a simple design procedure for chart parameters is provided, and EWMA charts are compared to CUSUM charts on run‑length performance. The proposed boundary choices improve one‑sided EWMA charts, the design procedure yields an optimal EWMA chart, yet CUSUM charts outperform EWMA in mean‑detection sensitivity.
Exponentially weighted moving average (EWMA) control charts are developed for monitoring the rate of occurrences of rare events based on the interarrival times of these events. The average run lengths of the EWMA charts are determined exactly based on the solution of a set of differential equations. The effects of using boundaries on the one-sided EWMA charts are examined, and reasonable choices of boundaries are proposed. A simple design procedure is provided for determining the chart parameters of a one-sided or a two-sided EWMA chart. The chart obtained using the design procedure is optimal within the class of EWMA charts. The cumulative sum (CUSUM) and EWMA charts are compared based on the average run length. The CUSUM chart is found to be optimal in detecting the intended mean, while the EWMA chart is found to be slightly less sensitive.
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Introduction to Statistical Quality Control
Roger Sauter, Douglas C. Montgomery · Technometrics · 1992 · 7.9K citations
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