传统的过程能力分析假定过程存在单一变异源,在利用方差分量法估计嵌套型多变异源问题的总方差和各方差分量的基础上,给出了过程能力指数的估计方法,并推导了Cp的置信区间.案例应用表明:由于MVA方法对变异来源进行了充分分析和估计,所以能够科学合理的对过程进行评价.
Traditional process capability analysis takes assumption that there is only a variation source in production/process quality characteristics. This paper presents a method for estimating process capability indices, which roots in nested mode of experiment design, and uses variance components to estimate total variance as well as each variance component. In addition, the confidence interval of Cp is derived based on MVA. A case is studied, and it is shown that MVA is good at analyzing the process variation patterns, so the method can remark the process scientifically and rationally.