Sampling Plan for Lab Extracted Beverages Data with Multiple Dependent States Using the Odd Log-Logistic Distribution

In this paper, we propose a Multiple Dependent State Sampling (MDSS) plan for decision-making on lot acceptance/rejection based properties of current and preceding lots sampled. The uses the Odd Log-Logistic Generalized Exponentiated (OLLGE) distribution to determine median life product through truncated-time test. Optimal parameters such as sample size, numbers, are obtained using operating characteristic curve (OC-curve). plan’s performance is compared that single sampling (SS) plans Lab Extracted Beverages data sets carbon dioxide pressure (MPa).