# Six Sigma Black Belt: Measurement Systems and Metrology

Everyone
• 9 videos | 1h 31m 16s
Rating 4.5 of 83 users (83)
Six Sigma measurement systems are vital to improving an organization's processes. Measurement systems encompass the conditions, devices, and the human element of measurement, which together must produce correct measurements and comply with appropriate standards. Measurement error, or measurement variability, is a problem whose components must be thoroughly understood and kept in check to maintain the effectiveness of any measurement system. Measurement variability contributes to the overall variability in the process and it is important to understand its sources and minimize it. Black Belts can calculate correlation, bias, linearity, stability, reproducibility, and repeatability to analyze and further improve measurement systems. This course examines how to analyze a measurement system to help it produce correct measurements and minimize its proportion of variability in the overall variability. It introduces key elements of metrology and international systems of measurement, explores the many sources of measurement error, and surveys a broad range of items that can be measured in various functional areas of the enterprise. The course also presents some of the considerations influencing the use of measurement systems in service industries. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.

## WHAT YOU WILL LEARN

• Discover the key concepts covered in this course
Classify the source of error in a measurement scenario, and recognize the components and meaning of measurement error
Recognize how an instrument's attributes should be considered when setting calibration intervals, and recognize the appropriate consideration of required elements for developing a traceability document
Use agreement values to interpret measurement data, in a given scenario
Calculate and interpret bias as a percentage of tolerance, in a given scenario
• Interpret a linearity plot, and assess the stability status of a measurement system based on an x bar and r chart
Use the formulas for repeatability and reproducibility to evaluate a measurement system, in a given scenario
Match examples of performance measures to functional areas
Identify considerations related to measurement in a service context

## IN THIS COURSE

• After completing this video, you will be able to discover the key concepts that will be covered in this course.
• After completing this video, you will be able to classify the source of error in a measurement scenario and recognize the components and meaning of measurement error
• 3.  Calibration and Traceability
After completing this video, you will be able to recognize how an instrument's attributes should be considered when setting calibration intervals and recognize the appropriate consideration of required elements for developing a traceability document
• 4.  Correlation in Measurement Systems
After completing this video, you will be able to use agreement values to interpret measurement data, in a given scenario
• 5.  Bias Calculation
After completing this video, you will be able to calculate and interpret bias as a percentage of tolerance, in a given scenario
• 6.  Linearity and Stability
After completing this video, you will be able to interpret a linearity plot and assess the stability status of a measurement system based on an x bar and R chart
• 7.  Gauge Repeatability & Reproducibility (GR&R) Studies
After completing this video, you will be able to use the formulas for repeatability and reproducibility to evaluate a measurement system, in a given scenario
• 8.  Enterprise Performance Measurement
After completing this video, you will be able to match examples of performance measures to functional areas
• 9.  Service Industry Measurement Systems
After completing this video, you will be able to identify considerations related to measurement in a service context

## EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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