Open AccessNew two-sided group chain acceptance sampling plan for Marshall-Olkin extended exponential distribution
Author(s) -
Nazrina Aziz,
Zakiyah Zain,
Nurul Ikhlas Md Rifa’at,
Nurul Anis Jannati Mohd Radzi
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1988/1/012115
Subject(s) - acceptance sampling , sample (material) , plan (archaeology) , sampling (signal processing) , quality assurance , lot quality assurance sampling , sample size determination , computer science , distribution (mathematics) , statistics , operations research , mathematics , operations management , sampling design , engineering , geography , mathematical analysis , population , chemistry , external quality assessment , sociology , filter (signal processing) , computer vision , archaeology , chromatography , demography
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.