Construction and selection of Bayesian double sampling plans indexed through quality levels

Abstract

In acceptance sampling plans, the decisions on either accepting or rejecting a specific batch is still a challenging problem, in order to provide a desired level of production for customers as well as manufactures. In this paper, a new acceptance sampling design is double sampling plan which based on gamma -Poisson distribution and the procedures for selection of Bayesian double sampling plan indexed with relative slopes through incoming and outgoing quality levels are associated with their specified risks, which describe the degree of sharpness of the OC curve, are considered towards designing of sampling plans. Further comparison made with existing sampling plan.