Development of a new variable repetitive group sampling plan based on EWMA yield index

The present study aims to develop a new variable repetitive group sampling plan using the Exponentially Weighted Moving Average (EWMA) statistic based on the yield index for the submitted lot. The optimal parameters of the proposed plan were determined under three scenarios based on the Average Sample Number (ASN). ASN should be minimized to decrease the inspection time and cost using the optimization problem for the required quality levels and sundry combinations of producer's and consumer's risks. A comparison study was conducted to determine the efficiency of the proposed plan. Furthermore, the proposed plan was presented with an example elaborating its applicability in the industry. The proposed plan was compared with the single sampling plan and repetitive group sampling plan based on the yield index. The upshots were tabulated for different quality levels. The obtained results demonstrated that with respect to performance, the proposed sampling plan was more lucrative than the existing sampling plans in terms of ASN. (C) 2021 Sharif University of Technology. All rights reserved.