Optimum Designing of Bayesian Conditional Repetitive Group Sampling Plan Indexed through Quality Regions

Abstract

In this paper, an optimum coming up with methodology is planned to see the standard measures for a brand new procedure for Optimum designing of theorem Conditional Repetitive group Sampling arrange indexed through varied Quality Regions. Tables and procedures are provided for the selection of the parameter for the plan. Numerical illustrations are also provided for the shop floor applications of the Industries. Quality region proposes wider potential applicability in industry ensuring higher standard of quality attainment for product.