The construction and application of process capability rapid determination model with poor information based upon the safest principle

Traditional process capability inspection is established on the basis of large sample and actually at the beginning mass product is difficult, so in the absence of large sample, process capability making use of small sample information can also be quickly judged. In this paper, we will fully dig the small sample information, process capability judgment will be converted to an optimization constraint problem to determine the coefficient of benchmark as decision variables, mean, variance, range, process capability, deviation coefficient as the dynamic constraint variables to build models and eventually the most reasonable decision optimization benchmark table will be found. The model and the benchmark table are applied to the practice test to judge its rationality, and through the final experiment to prove the validity of the model and the simplicity of benchmark table.