Repetitive acceptance sampling plan for odds exponential log-logistic distribution based on truncated life test

Abstract

ABSTRACT In this paper, we construct repetitive acceptance sampling plan (RASP) by attributes for the truncated life test under odds exponential log-logistic distribution (OELLD). The design parameters are determined by satisfying both the producer’s and consumer’s risk for the specified quality levels based on percentiles. The objective is to minimize the average sample number (ASN), where as the constraints are related to lot acceptance probability at the acceptable and limiting quality levels. The authors compare the average sample number (ASN) of the proposed repetative acceptance sampling plan and the ordinary single sampling plan is discussed. Tables are constructed for various values of shape parameter. The results are demonstrated with the help of real- life data.