The c chart is often used to monitor the number of non-conforming products. When small shiftsin the nonconformities of process mean result from assignable causes, classical c charts are relatively inefficient in detecting small shifts in the nonconformities of process mean. Therefore, the Poisson exponentially weighted moving average (Poisson EWMA) control scheme is another superior alternative to c charts. In this paper, we extended the Poisson EWMA control chart. This generalized chart, is called herein the Poisson generally weighted moving average (Poisson GWMA) control chart. This study presents the Poisson GWMA control chart for monitoring the Poisson counts. Simulation is used herein to evaluate the average run length (ARL) properties of the c chart, the Poisson EWMA control chart and the Poisson GWMA control chart. The Poisson GWMA control chart is superior to the Poisson EWMA control chart as measured by ARL. An example is also given to illustrate this study.
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