Bayesian Two-Sided Complete Group Chain Sampling Plan (BT-SCGChSP) for Binomial Distribution Using Beta Prior Through Quality Regions

Acceptance sampling is a technique of statistical quality assurance based on inspection random sample items and making decision about the lot in which it either accepted or rejected. In case available historical knowledge, experts say that Bayesian approach best to correct decision. this study, for average probability acceptance, two-sided complete group chain plan (BT-SCGChSP) proposed. The binomial distribution used derive acceptance beta as prior distribution. Four regions, namely (i) region (QDR), (ii) probabilistic (PQR), (iii) limiting (LQR) (iv) indifference (IQR) are considered consumer producer risks. For selecting parameters BT-SCGChSP, acceptable level (AQL) (LQL) also considered. values extracted BT-SCGChSP different combinations design tabulated inflection point derived. Operating characteristic curves make compression with existing finding exposes better substitute industrial practitioners certain product life research sectors.