Reduction of expectation value for the total cost function of quality control under conditional sampling distribution " Poisson - " with application

Abstract

The aim of this research is the minimization of the expected total cost function of quality control , where (x) the sampling process is Poisson distribution with the parameter (np), (p) is random variable that changes from one production lot to another and has a probability distribution called the prior quality distribution as . And derivation of parameter of single Bayesian sampling plan (n,c).Is done, where n is the sample size, and c is acceptance number In this application we use excel program we use an application data from an Iraq artificial establishment that represent of defective units in production ,we classifying it into Ten class then we compute and find optimum bayes planning with the efficiency .