Frequently, continuous improvement efforts are frustrated due to an incapable measurement system. As a result, Mississippi State University’s CAVS Extension is pleased to offer a two-day class focusing on Measurement System Analysis. This class describes how measurement and inspection error can be quantified for both the case of variables and attribute measurements.
When: March 9-10, 2022 and May 18-19, 2022
Where: MSU CAVS Extension – 153 Mississippi Parkway Canton, MS 39046
The first day focuses on the variables case (e.g., dimensional measurements) and the second day focuses on applying the attribute case (e.g., aesthetic appraisal of conformance). On both days, the objective is to learn how to apply the Gage Repeatability and Reproducibility methodology so that measurement error can be quantified and reduced. Participants will have the opportunity to participate in instructor-led interactive examples and hands-on lab activities.
- What is MSA (Gage R&R)?
- Why measurement Error Matters
- Measurement System Analysis Terms
- Gage Repeatability
- Gage Reproducibility
- Assessing Measurement System Capability
- Overview of Gage R&R Forms
- Exercise: Actual Inspection & Data Collection Using Sample
- Step-by-Step Calculations
- Interpretation and Explanation of Calculated Results
- Verification of Results Using Computer Software (Minitab, Excel, etc.)
- In Plant Application
- Divide the class into teams and perform the Gage R&R on actual inspection equipment
- Each team present results to the rest of the class.
Who Should Attend
Engineers practicing in any discipline, managers, other technical professionals, and anyone responsible for collection and/or analysis of measurement data.
This workshop will provide attendees with basic instruction in the statistical analysis of measured data for the purpose of measurement system validation. Each participant should have a working knowledge of the typical measuring system(s) used in their work or professional environment and an understanding of how related data measurements are collected. The participant’s basic understanding of mathematics (average, percentage, & square root, etc.) is assumed. A prior understanding of basic descriptive statistics such as mean, range, and standard deviation is desirable, but these topics will be also be defined and explained during the workshop. Participants will benefit from instructor led lecture, individual hands-on activity, and general discussion on related topics.