On Designing of Bayesian Shewhart-Type Control Charts for Maxwell Distributed Processes with Application of Boring Machine

The quality characteristic(s) are assumed to follow the normal distribution in many control chart constructions, although this assumption may not hold some instances. This study proposes Bayesian-I and Bayesian-II Shewhart-type charts for monitoring Maxwell scale parameter phase II study. posterior predictive distributions used construct limits proposed charts, respectively. Various performance indicators, including average run length, quadratic loss, relative comparison index, utilized evaluate of charts. compared their competitive CUSUMV, EWMAV V Sensitivity analysis is also performed effect hyperparameter values on behavior Finally, real-life data analyzed implementation