minitab-msa共同探讨

Gage R&R Study - ANOVA Method

Two-Way ANOVA Table With Interaction

Source DF SS MS F P
Part 9 88.3619 9.81799 492.291 0.000
Operator 2 3.1673 1.58363 79.406 0.000
Part * Operator 18 0.3590 0.01994 0.434 0.974
Repeatability 60 2.7589 0.04598
Total 89 94.6471

Two-Way ANOVA Table Without Interaction

Source DF SS MS F P
Part 9 88.3619 9.81799 245.614 0.000
Operator 2 3.1673 1.58363 39.617 0.000
Repeatability 78 3.1179 0.03997
Total 89 94.6471

Gage R&R

%Contribution
Source VarComp (of VarComp)
Total Gage R&R 0.09143 7.76
Repeatability 0.03997 3.39
Reproducibility 0.05146 4.37
Operator 0.05146 4.37
Part-To-Part 1.08645 92.24
Total Variation 1.17788 100.00

Study Var %Study Var %Tolerance
Source StdDev (SD) (6 * SD) (%SV) (SV/Toler)
Total Gage R&R 0.30237 1.81423 27.86 22.68
Repeatability 0.19993 1.19960 18.42 14.99
Reproducibility 0.22684 1.36103 20.90 17.01
Operator 0.22684 1.36103 20.90 17.01
Part-To-Part 1.04233 6.25396 96.04 78.17
Total Variation 1.08530 6.51180 100.00 81.40

Number of Distinct Categories = 4



分析如下：
数据分析：
1、 因是给定公差的MSA，故看%Study Var，因Total Gage R&R =27.86%，可知主要的误差来自零件
根据判定原则：
、Less than 10%  the measurement system is acceptable.
、Between 10% and 30%  the measurement system is acceptable depending on the application, the cost of the measuring device, cost of repair, or other factors.
C、Greater than 30%  the measurement system is unacceptable and should be improved.
可以知道此测量系统需要根据实际情况而判定是否可以接受
2、Number of Distinct Categories = 4
测量系统不能有效的区分零件或过程，根据The Automobile Industry Action Group (AIAG)一般上述数值要大于等于5，这也说明MSA可能有问题，但具体要根据实际情况看此MSA是否接受

图形分析：
1、 看Components of Variation graph，也可以发现主要的误差来自零件间
2、 MEASURMENT By Part graph 看到个零件差异很的大，说明变异主要来自零件间
3、 看R Chart by Operator 测量人A测量结果一致性好，B最差
4、 MEASURMENT By OPERATOR graph 可以看再生性，三人测量差异较小，但C测试数据较低
5、 XBAR图有多点超出控制线，说明主要的误差来自零件间
改进方向：
1、 仪器精度提高
2、 B、C进行再培训