Six Sigma Measurement Systems Analysis


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description
Adequate and accurate measurement systems are vital to the success of any data collection and analysis when striving for business process improvement. And they’re critical to the overall success of any Lean or Lean Six Sigma initiatives in an organization. They can then inform decisions about process improvement, process control, and process design. This course will present measurement system analysis. Specifically, you’ll explore how to address the precision and accuracy of your system. You'll also learn how to carry out various calculations and analysis, such as gauge repeatability and reproducibility study. This course is aligned with ASQ’s 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Prerequisites
None

Expected Duration (hours)
1.1

Lesson Objectives

Six Sigma Measurement Systems Analysis

  • distinguish between accuracy and precision
  • identify types of correlation
  • distinguish between types of variation
  • list the steps to perform a GR&R study
  • interpret data from a given gauge repeatability and reproducibility study
  • calculate a precision to tolerance ratio
  • identify best practices in conducting a bias study
  • calculate and interpret bias
  • identify attributes of linearity
  • calculate linearity and interpret a linearity plot
  • recognize situations when you would use percent agreement to assess a measurement system
  • interpret numeric output from a given percent agreement analysis
  • demonstrate your understanding of Six Sigma measurement systems analysis tools and techniques
  • Course Number:
    apr_03_a05_bs_enus

    Expertise Level
    Intermediate