New two-sided group chain acceptance sampling plan for Marshall-Olkin extended exponential distribution

Abstract

Acceptance sampling remains as a popular method of quality assurance in many industries. The primary goal is to reach an accurate decision whether to accept or reject a lot based on the results from sample inspection at a minimal cost. In this study, a new two-sided group chain acceptance sampling plan (NTSGChSP) using the Marshall-Olkin Extended Exponential (MOEE) distribution is introduced. This plan emphasizes customer’s protection by considering the consumer’s risk in its development. The findings suggest that the NTSGChSP could potentially offer minimal inspection cost by selection a small sample size for lot inspection. Such advantage should render it as a preferred sampling plan for products with lifetime that follows MOEE distribution.