Abstract
Abstract Quality control charts are used in controlling the quality characteristics produced material, and making a suitable decision to the producing operation at each stage of production. This can be fulfilled collecting a sample (observations) randomly selected of the whole production. Quality control charts was demonstrated by shewart who used a traditional statistical approach with the construction and decision - making. This research aims at constructing a new quality control chart which corresponds to shewart’s one of a single value that Bayesian sequential approach is used in the construction and decision - making instead of a classical statistic approach and used in shewart’s charts. A research’s problem concluded that shewart’s chart of single value draws upon single sight by decision - making of a progressed production process (which is used in case of the sampling) is very costly. This considers as a weak point (deficit) at this chart. Data analysis in this research have been depended on Bayesian sequential approach which presented by wald. It deals with sequential sights, i.e. each a new sight will add new information on the distribution parameter estimation. In addition to the prior information use that came from previous experiments, experiences in distributional finding of parameter and finding of posterior sequential distribution for this parameter. Shewart’s chart of a single value, Bayes chart of a single value corresponds it in April factory of marble to control the pressure force of marble, and it is found that Bayes chart of a single value doesn’t affected by outlier values as in shewart’s chart of a single value. .
