Fundamental to collecting data on any process or equipment is a characterization of the measurement system. Data, which do not come from an accurate measurement system, may lead to erroneous conclusions.
Who Should Attend
This course is appropriate for anyone with basic knowledge of descriptive Statistics (measures of location such as mean and median, measures of spread such as standard deviation and variance and properties of the Normal distribution).
During this course participants will gain an understanding of basic measurement process terminology including discrimination, stability, bias, accuracy, precision, repeatability and reproducibility. They will learn the methodology to plan, conduct, analyze and interpret measurements system capability study, which includes a gauge repeatability and reproducibility (R&R) study for variables data, as well as MSA for Attribute data which come from either manual inspection or machine inspection.
This course does not teach participants simply how to point and click. The basic concepts underlying each tool will be discussed before the use of the software is demonstrated.
Introduction to Measurement System Analysis (2 hours)
- Definitions and Terminology
- Discrimination and Resolution
- Control Chart Check of Discrimination
- Bias and Linearity of Bias
- Precision & Accuracy
- Repeatability & Reproducibility
- Percent of Tolerance (P/T ratio)
- Percent of Study or Process Variation (%R&R)
- No. of distinct categories (ndc)
Repeatability and Reproducibility (R&R) Study (4.5 hours)
- Planning an R&R Study
- Analysis of an R&R study using ANOVA
- Interpretation and Study Actions
- Comparing Operators
- Importance of Sample Selection
- MSA for Non-Replicable (i.e. Destructive) Test
Attribute MSA (1.5 hours)
- % Agreement within and Between Appraisers
- % Agreement with Expert
- Kappa Statistics
- Over and Under Rejection
Course instructor: Saleha Yusof-Mullenix – Consultant, Lean Six Sigma
8:00am-12:00pm (EST) each day