Abstract
In this manuscript, a new sampling plan based on the exponentially weighted moving average (EWMA) yield index for lot sentencing for autocorrelation between linear profiles is proposed. The advantage of the EWMA statistic is the accumulation of quality history from previous lots. In addition, the number of profiles required for lot sentencing is more economical than the traditional single sampling plan. As the value of the smoothing parameter is equal to one, the sampling plan based on the EWMA statistic becomes a traditional single sampling plan. Considering the acceptable quality level at the producer’s risk and the lot tolerance percent defective at the consumer’s risk, the plan parameters are determined. The plan parameters are tabulated for various combinations of the smoothing constant of the EWMA statistic and the acceptable quality level and lot tolerance proportion defective at the producer’s risk and the consumer’s risk respectively.
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