The measure phase involves identifying key process metrics and collecting related data. This helps validate the data and narrow potential causes for investigation. Measurement system analysis ensures the measurement system is acceptable by examining properties like bias, stability, linearity, repeatability and reproducibility. A gage R&R study uses a crossed design to evaluate the repeatability and reproducibility of a measurement system by having multiple operators take multiple measurements of various parts. Minitab can be used to analyze gage R&R data through run charts, ANOVA and determining each source of variation's contribution.

1. DMAIC: Measure
Robert Setaputra

2. Measure
 The measure phase begins with the
identification of the key process metrics.
 Once the key process metrics have been
specified, related process and customer
data is collected.

3. Purpose of Measure Phase
 To validate the data
 To help the team narrowing the range of
potential causes need to be investigated in
Analyze phase.

4. Framework
Business
Problem
Business
Solution
Statistical
Solution
Statistical
Problem
Business
Problem
Business
Solution
Statistical
Problem
Statistical
Solution
Business
Problem
Business
Solution
Statistical
Problem
Measurement

5. Measurement System Analysis
 MSA is a study to determine the extent
and acceptability of system measurement
 5 Properties
Biasness
Stability
Linearity
Repeatability
Reproducibility

6. Gage R&R
 Repeatability & Reproducibility (R&R)
 Repeatability
 Variation that is due to the measurement device
(same operator, same part, same device).
 Within person variation.
 Reproducibility
 Variation that is due to the measurement system
(different operators, different parts, same device).
 Between person variation

7. Gage R&R Study Design
(Crossed Design)
 Select a set of representative parts.
 Select a group of operators to measure
the parts.
 Ask the operators to measure for each
part repeatedly.
 Ex. 5 parts, 2 operators, and 4 replicates.

8. Gage R&R using Minitab
 Gage R&R Run Chart
 Gage R&R Study (Crossed) – ANOVA
 Gage R&R Contribution
 Exercise:
Table 5.6 (p. 121)
Table 19.6 (p. 617)