10 Ways to Improve Measurement Systems Assessments

The effective use of data to drive decision making requires adequate measurement systems. When interpreting data or the results of data analysis, we assume that data or results represent the process. However, excessive measurement error may result in inappropriate conclusions

Thus, it is critical to properly assess whether measurement systems are adequate for their intended use prior to their use. Only capable measurement systems should be utilized to support quantitative methods such as Statistical Process Control, Inspection activities, Process Capability Assessment, Hypothesis Testing, Data Modeling, etc.

Important measurement system characteristics include discrimination, accuracy, precision (repeatability and reproducibility), linearity, and stability. Techniques exist to assess measurement systems for each of these important characteristics.

Skipping such assessments can lead to the use of measurement systems that are not capable of monitoring process variation or, in extreme cases, even of distinguishing between conforming and non-conforming product.



Why you should Attend:

• Develop a solid understanding of the types of Measurement Systems Assessments that may be conducted
• Improve the planning, conduct, analysis, and interpretation of Gage R&R studies
• Ensure prerequisites for a measurement system study are satisfied
• Learn techniques for handling destructive testing or other non-replicable measurement systems

• Understand and Consider All Types of Measurement Error (Repeatability, Reproducibility, Bias, Non-linearity, Instability)
• Select Specimens Wisely for Gage R&R Studies
• Ensure Adequate Gage Discrimination
• Understand, Calculate, and Interpret Gage R&R Metrics Correctly
• Look Beyond the "Pass" or "Fail" Outcomes in a Gage R&R study
• Use ANOVA for Gage R&R Studies
• Expand Gage R&R Studies to Include Potential Sources of Variation
• Apply Methods for Non-Replicable Systems as Necessary
• Use Control Charts to Assess the Stability of the Measurement Process
• Assess Attribute Gages as Well

• Product Development Personnel
• Quality Personnel
• Manufacturing Personnel
• Lab Personnel