Measurement Systems Analysis (MSA) Training Course

Define measurement as assignment of numbers to properties, and use a reference value defined by an operational definition with discrimination, traceable to NIST, to minimize uncertainty about the true value.

explore reference value concepts, including averaging measurements to establish values across legal, theoretical, consensus, and agreement standards, and examine discrimination and bias as the measurement system's readability and systematic error.

Analyze how precision, linearity, and sensitivity define a measurement system's performance across its operating range. Assess discrimination and repeatability, and understand how bias and maintenance affect accuracy.

Explore gauges as measurement devices and how measurement systems use instruments, methods, and environment to quantify a feature. Clarify gage R&R as combination of repeatability and reproducibility to assess measurements.

Assess how consistency reflects time-based measurement variation and repeatability, and how uniformity, affected by scale readability and parallax, defines the short-term measurement system capability amid random and systematic errors.

Explore measurement uncertainty as the bilateral range around observed results, quantified by standard deviation and coverage factors under ISO IEC guidance, typically for 95 percent confidence.

Calibration systems establish the relationship between a measuring device and a traceable standard with known value and uncertainty, ensuring measurement traceability, accuracy, and quality through laboratories, records, and qualified personnel.

Assess measurement systems performance via an audit that quantifies long-term effects of random and systematic errors, including short-term stability and error correlation, and consider worst-case or multiple assessments across range.

Understand measurement system standards as bases for comparison, including artifacts or emblems set by authority, and recognize how environment and procedures influence calibration of gauge blocks.

Identify and utilize calibration standards as references for routine calibrations, buffering the calibration workload from the laboratory’s reference standard, and compare a separate standard to the units being calibrated.

Explore the working standard’s role in routine laboratory measurements, not calibration, and relate artifacts that resemble the process under study to a stable reference standard in measurement and test equipment.

Establish traceability of measurements through an unbroken chain of comparisons to national or international standards, with acknowledged uncertainties, often via a consensus standard between customer and supplier.

Explore software tools for measurement system analysis, including Minitab, JMP, Quality Companion, Excel with key macros, gage R&R, and SPC software to analyze, visualize, and interpret data efficiently.