Which items are typically evaluated in a Measurement System Analysis (MSA)?

• A. Gage repeatability
• B. Bias
• C. Workflow efficiency
• D. Gage repeatability, reproducibility, and bias

Answer: (D)

In a Measurement System Analysis, the goal is to understand how much variation comes from the measurement process itself rather than the part being measured. The key pieces are gage repeatability (how much repeated measurements by the same operator with the same instrument vary), reproducibility (how much variation occurs when different operators or setups measure the same part), and bias (a systematic difference between the measured value and the true value). Together, these elements assess the reliability and accuracy of the measurement system. Workflow efficiency isn’t part of evaluating the measurement system; it looks at process speed or throughput, not measurement performance. Therefore, the option that includes all three components—repeatability, reproducibility, and bias—best captures what’s typically evaluated in an MSA.