Dynamic Optimum Method of Control Charts for Small Batch Manufacturing

For quality control of the developed small batch manufacturing mode,a method based on the stochastic weighted theory is proposed to optimize control parameters of control charts.The small sample data is sampled again through the stochastic weighted method to obtain more information.The sample data's distribution parameters are then estimated.After the estimated distribution parameters are tested through the supposed test method,control parameters of control charts can be dynamically optimized.The method improves traditional control charts under low-volume production and realizes the quality control of small batch of manufacturing.Experiments show that these optimized control parameters approach theory true values and are better than that of the traditional control charts.Therefore,the proposed method is suitable for the quality control of small batch of manufacturing.