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Chapter 13: G. Measurement System Analysis 129Continued2 2GageR&R = ( Repeatability) + ( Reproducibility)2 2= ( 863 . ) + (.83)= 867 .The estimate of GR&R standard deviation is given by867 .sˆGage= = 168 . .515 .The ANOVA MethodMeasurement system analysis using the ANOVA method is done by using twotypes of experimental designs; crossed and nested, or hierarchical, designs. Thecrossed designs are used when each operator measures the same parts, whereasnested or hierarchical designs are used when each operator measures differentparts, in which case we say that the parts are nested within operators. In this chapterwe discuss the case when each operator measures the same parts and thus usecrossed designs only.Gage R&R Study—ANOVA MethodInterpretation of Two-Way ANOVA Table with Interaction. In the ANOVA tablein Figure 13.4, we test three hypotheses:• H 0 : All parts are similar versus H 1 : All parts are not similar• H 0 : All operators are equally good versus H 1 : All operators are notequally good• H 0 : Interactions between parts and operators are negligible versus H 1 :Interactions between parts and operators are not negligibleThe decision whether to reject or not to reject any of these hypotheses dependson the p-value (shown in the last column) and the corresponding value of thelevel of significance. If the p-value is less than or equal to the level of significancePart II.GSource DF SS MS F PPart Numbers 9 6135.73 681.748 165.532 0.000Operators 2 6.76 3.378 0.820 0.456Part Numbers*Operators 18 74.13 4.119 1.477 0.131Repeatability 60 167.33 2.789Total 89 6383.96Alpha to remove interaction term = 0.25Figure 13.4 Two-way ANOVA table with interaction (Minitab printout).
130 Part II: MetrologyPart II.G(alpha), we reject the null hypothesis. Otherwise, we do not reject the null hypothesis.Thus, for example, the p-value for parts is zero, which means we reject the nullhypothesis that the parts are similar at any level of significance. In other words,the measurement system is capable of distinguishing the different parts. Thep-value for operators is 0.456. Therefore, at a given level of significance, which isless than 0.456, we do not reject the null hypothesis that the operators are equallygood (in most applications, an acceptable value of the level of significance is 0.05).Finally, the interactions are not negligible at a level significantly greater than 0.131.Since the chosen value of alpha is 0.25, the interaction term is not removed fromthe ANOVA.Interpretation of Two-Way ANOVA Table without Interaction. Since in thiscase the value of a (alpha) is less than 0.131, the interaction term is removed fromthe ANOVA table and the SS (sum of squares) and DF (degrees of freedom) aremerged with corresponding terms of repeatability, which act as an error due touncontrollable factors. The interpretation for parts and operators is the same asin the two-way ANOVA table with interaction. However, it is important to notethat the p-values can change from one ANOVA table to another. Thus, for example,the p-values for operators are different in the two tables. The p-value for operatorschanged since the error due to uncontrolled factors has changed.The first column in the printout in Figure 13.6 provides the breakdown of thevariance components (estimates of variances). The second column provides percentcontribution of the variance components, which becomes the basis of a GR&Rstudy using the ANOVA method. Thus, for instance, the total variation due togage is 4.12 percent, of which 3.55 percent of the variation is contributed by theSource DF SS MS F PPart Numbers 9 6135.73 681.748 220.222 0.000Operators 2 6.76 3.378 1.091 0.341Repeatability 78 241.47 3.096Total 89 6383.96Alpha to remove interaction term = 0.1Figure 13.5 Two-way ANOVA table without interaction (Minitab printout).%ContributionSource Var. Comp (of Var. Comp)Total Gage R&R 3.2321 4.12Repeatability 2.7889 3.55Reproducibility 0.4432 0.56Operators 0.0000 0.00Operators*Part Numbers 0.4432 0.56Part-To-Part 75.2922 95.88Total Variation 78.5243 100.00Process tolerance = 60Figure 13.6 Gage R&R (Minitab printout).
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Chapter 13: G. Measurement System Analysis 129
Continued
2 2
GageR&R = ( Repeatability) + ( Reproducibility)
2 2
= ( 863 . ) + (.
83)
= 867 .
The estimate of GR&R standard deviation is given by
867 .
sˆ
Gage
= = 168 . .
515 .
The ANOVA Method
Measurement system analysis using the ANOVA method is done by using two
types of experimental designs; crossed and nested, or hierarchical, designs. The
crossed designs are used when each operator measures the same parts, whereas
nested or hierarchical designs are used when each operator measures different
parts, in which case we say that the parts are nested within operators. In this chapter
we discuss the case when each operator measures the same parts and thus use
crossed designs only.
Gage R&R Study—ANOVA Method
Interpretation of Two-Way ANOVA Table with Interaction. In the ANOVA table
in Figure 13.4, we test three hypotheses:
• H 0 : All parts are similar versus H 1 : All parts are not similar
• H 0 : All operators are equally good versus H 1 : All operators are not
equally good
• H 0 : Interactions between parts and operators are negligible versus H 1 :
Interactions between parts and operators are not negligible
The decision whether to reject or not to reject any of these hypotheses depends
on the p-value (shown in the last column) and the corresponding value of the
level of significance. If the p-value is less than or equal to the level of significance
Part II.G
Source DF SS MS F P
Part Numbers 9 6135.73 681.748 165.532 0.000
Operators 2 6.76 3.378 0.820 0.456
Part Numbers*Operators 18 74.13 4.119 1.477 0.131
Repeatability 60 167.33 2.789
Total 89 6383.96
Alpha to remove interaction term = 0.25
Figure 13.4 Two-way ANOVA table with interaction (Minitab printout).