A fully Bayesian approach to sample size determination for verifying process improvement

摘要: There has been significant growth in the development and application of Bayesian methods industry. The Bayes’ theorem describes process learning from experience and shows how knowledge about state nature is continually modified as new data become available. This research an effort to introduce Bayesian approach effective tool for evaluating adjustments aimed at causing a change parameter. usually encountered scenarios where found be stable but operating away the desired level. In these scenarios, number changes are proposed tested part the improvement efforts. Typically, it desired evaluate effect soon as possible take appropriate actions. Despite considerable efforts utilize the Bayesian approach, there few guidelines for loss computation sample size determination. This fully determining maximum economic number measurements required verify such Mathematical models were derived used establish implementation boundaries economic technical viewpoints. addition, numerical examples were illustrate steps involved and highlight advantages procedures.