Optimal design of multiple dependent state repetitive group sampling plan for inverse power Lomax distribution

A sampling plan named as Multiple Dependent State Repetitive Group Sampling (MDSRGS) is introduced for a time-truncated life test given that the underlying distribution of product's lifetime Inverse Power Lomax (IPLD). The proposed developed with help two already plans (MDS and RGS). two-point approach OC function known producer's risk customer's used to determine parameters plan. An optimization method different values risk, static experiment termination ratio mean ratio, find out (minimum size sample, number acceptance rejection, successive lots). Tables are created shape distribution. efficiency MDSRGS examined by conducting comparative study. To accompany results, graphs also visualizing average sample probabilities specific ratio. Two real-life applications incorporated demonstrate operating procedure