ABSTRACT
An important aspect of any quality control program is estimation of the quality of outgoing products. This paper applies Acceptance Sampling with rectification to the problem of quality assuance when the inspection procedure is imperfect. The objective is to develop effective rectification sampling plans and estimators based on these plans without making the assumption of a perfect inspection procedure. We develop estimators, under two different sampling plans, for the number of undetected defects remaining after a set of lots has been passed. We compare, by extensive simulation, the proposed estimators with existing ones in terms of Root Mean Squares Error (RMSE). One of our estimators, an empirical Bayes estimator, is seen to consistently obtain substantially lower RMSE overall.
