In a measurement-focused quality improvement project, which component ensures the credibility of the measurement system?

• A. Process capability
• B. Gage repeatability and reproducibility
• C. Measurement System Analysis
• D. Control limits

Answer: (C)

Establishing trust in the numbers you collect is the heartbeat of a measurement-focused improvement project. You need to know how much of the observed variation comes from the measurement process itself versus the process you’re trying to improve. Measurement System Analysis does this by evaluating the entire measurement process—its accuracy, precision, stability, calibration, and how different operators or instruments might affect results. It also includes gage repeatability and reproducibility as part of the bigger picture, but it goes beyond just R&R to cover bias, linearity, and other sources of measurement error. This analysis tells you whether the data are credible enough to base decisions on and where improvements in the measurement system are needed.

Control limits focus on detecting variability in a process over time, not on validating the measurement system. Process capability looks at whether the process can meet specifications given its variation, but it assumes the measurement system is already credible. So the measurement system analysis is the correct choice because it directly assesses and certifies the trustworthiness of the data used in the improvement effort.