Acceptance Control Charts Based on Normal Approximations to the Poisson Distribution

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Abstract
An acceptance control charting scheme is investigated for the case in which observations consist of the number of nonconformities seen when a process is observed for a certain fixed length of time. The counts are assumed to have a Poisson distribution. Two normal approximations for finding the optimum sample size and control limit are compared to the exact values found through the use of Poisson (or chi-square) probabilities. Recommendations for practical usage are made as a result of a numerical study.

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