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The document discusses concepts related to measurement uncertainty and capability analysis for measurement systems and processes in the automotive industry.

Some of the main factors that influence measurement uncertainty include environment, measurement procedure, operator, instrument resolution, temperature, pressure etc. as discussed in Figure 5 on page 26.

Measurement system capability looks only at the measurement system, while measurement process capability takes into account additional sources of uncertainty such as part variation, operator variation etc. as seen in Figures 10 and 19.

Verband der

5
Automobilindustrie

Quality Management in
the Automotive Industry

Capability of Measurement Processes


Capability of Measuring Systems
Capability of Measurement Processes
Expanded Measurement Uncertainty
Conformity Assessment

Figures

nd
2 completely revised edition 2010, updated July 2011

1
L specification phase
measurement uncertainty UMP
U (construction)

Chapter 3.2 - Figure 1 - Page 22


non-conformance conformance zone non-conformance
increasing

zone zone

verification
uncertainty uncertainty phase
range range (production)

work piece tolerance


outside the within the tolerance outside the
tolerance tolerance

Figure 1: Uncertainty ranges and conformance or non-conformance zones


3
4

Evaluation
Man Object Environment
Method
Material Mathemat. Pressure

Chapter 4.1 - Figure 5 - Page 26


models Voltage
Motivation
Qualification Elect ricity
Shape Measurement Temperature
value composition
Illumination
Physical
constitution Computer Humidit y
Discipline Surface Vibrations
applicat ion
Psychical Statistical Soiling
constitution Accessibility
Care method
Measurement
Sensibility
Result
contact-free Calibration/ Surf ace
Measuring range justification Stability texture
tactile touch Time/cost random measurement Type of master
deviations Shape

Measuring points Stability Location Shape/Position


not recorded bias
layout
Capacity
Measuring Position Measurement stability
Setting uncertainty
points total Resolution

Measurement Gage Mounting


Master
Procedure Fixture

Figure 5: Important influences on the uncertainty of measurement results


Chapter 4.7 - Figure 7 - Page 41

Figure 7: Flow chart for assessing the capability of measurement processes

5
6

Q MP 50% 40% 30%


4,00

Chapter 4.10 - Figure 9 - Page 46


3,80
3,60
3,40
3,20
3,00
2,80
2,60
20%
real C value 2,40
2,20
10%
2,00
1,80
1,72
1,60
1,40
1,20
1,00
0,80
0,60
0,40
0,20
0,00
0,50 0,60 0,70 0,80 0,90 1,00 1,10 1,20 1,30 1,40 1,50 1,60 1,70 1,80 1,90 2,00
1,33 1,67
observed C value

Figure 9: Display of the real C-value as a function of the observed C-value subject to QMP
Chapter 5.2 - Figure 10 - Page 51

Measurement System Capability

no Use measurement system with a


%RE 5%TOL
sufficiently high resolution

yes

yes
MPE known
and accepted?

no

no yes
Linearity uLIN
known?

Prepare trial Prepare trial document MPE

minimum 3 reference standards, 1, 2, or 3 reference standards,


repeat measurements repeat measurements

 UCALi  UCALi 
uCAL = max   uCAL = max  
 2   2 

{ }
from ANOVA:
uEVR = max sgi
uEVR (pure error deviation)

from ANOVA:  Bi 
uBi = max  i 
uLin (lack-of-fit deviation)  3

uMS see table 12

2 ⋅ UMS 2 ⋅ UMS
UMS = k ⋅ uMS QMS = ⋅ 100% TOLMIN -UMS = ⋅ 100%
TOL QMS _ max

Measurement system yes no Measurement system


QMS QMS_max not capable
capable

Figure 10: Measuring system capability analysis

7
Chapter 5.2.2.2 - Figure 15 - Page 62

Figure 15: Diagram of an analysis of variance

8
Chapter 5.2.2.2 - Figure 16 - Page 63

a.)

b.) c.)

Figure 16: a.) Value chart of the residuals


b.) Residuals plotted on a probability plot
c.) Residuals plotted on fitted values

9
Chapter 5.3 - Figure 19 - Page 66

Measurement Process Capability

Measurement no Measurement system not


system capable? capable

yes

Determination of uncertainty components


not considered in the experiment
Method B: i.e. uOBJ, uT

Determination of uncertainty components


considered in the experiment
Method A: uEVO, uAV, uGV, uIAi from ANOVA
uSTAB (possibly uOBJ)

2
uMP = uCAL
2 2
{
+ max uEVO 2
, uEVR 2
, uRE }
+ uBI2 + uLI2 N
+u AV
2
+ uGV
2
+ uSTAB
2
+ uT2 + uOBJ
2
+ ∑ uIAi
2
+ uRES
2
T

UMP = k ⋅ uMP 2 ⋅ UMP 2 ⋅ UMP


QMP = ⋅ 100% TOLMIN -UMP = ⋅ 100%
TOL QMP _ max

no Measurement process not


QMP QMP_max
capable

yes

Measurement process capable

Figure 19: Measurement process capability analysis

10
Chapter 9.3.1 - Figure 23 - Page 91
Figure 23: Value chart plotting all reference values and the calculated uncertainty range
11
Annex B - Figure 24 - Page 98

Figure 24: Determining the standard uncertainty from temperature uT

12
Annex E - Figure - Page 108

display

real

ideal y = x

0 measured value

13
Annex E - Figure - Page 109

display

real

ideal y = x

2. reinforcement
set gradient

1. set zero point


0 measured value

14
Annex E - Figure - Page 109

display

real

ideal y = x

0 L U measured value

15
Annex F.1 - Figure - Page 111

16
Annex F.1 - Figure - Page 112

17
Annex F.1 - Figure - Page 113

18
Annex F.2 - Figure - Page 116

19
Annex F.4 - Figure - Page 125

20
Annex F.5 - Figure - Page 127
21
Annex F.5 - Figure - Page 129

22
Annex F.5 - Figure - Page 130

23
Annex F.6 - Figure - Page 134

24
Annex F.6 - Figure - Page 136

25
Annex F.6 - Figure - Page 138

26
Annex F.6 - Figure - Page 141

27
28

Operator B
No. of
repetitions Result Result Result

Annex F.8 - Figure - Page 149


mixed
Result

Operator A Result
mixed
Result
Operator B
No. of
repetitions Result Result Result

Annex F.8 - Figure - Page 150


mixed

Result

Operator A Result
mixed
Result
29
Annex F.9 - Figure - Page 151

Unsorted test results

30
Annex F.9 - Figure - Page 152

Sorted test results

31
Annex F.9 - Figure - Page 153
32

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