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Measurement Systems Analysis

Measurement Systems Analysis. Sebastian Fishman April 2019. About the presenter. About Today. Measurement System Analysis History. MSA Processes. AAIG (ANOVA, Gauge) EMP (Evaluation the Measurement Process) A Comparison between both methods is not part of this presentation. What is MSA?.

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Measurement Systems Analysis

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  1. Measurement Systems Analysis Sebastian Fishman April 2019

  2. About the presenter

  3. About Today

  4. Measurement System AnalysisHistory

  5. MSA Processes • AAIG (ANOVA, Gauge) • EMP (Evaluation the Measurement Process) • A Comparison between both methods is not part of this presentation

  6. What is MSA? Goal: base your decisions on correct data

  7. Where is the Data coming from? Gauge R&R Gage is the spelling of an obsolescent word meaning a pledge, a challenge, etc. Gauge is the spelling to use when you measure measurement, estimate, or standard. https://writingexplained.org/gage-vs-gauge-difference Gage or Gauge?

  8. What is being evaluated

  9. Stability • Establish reference material (can be NIST traceable or internal) • Establish measurement frequency, data gathering • Evaluate performance (trend analysis, Control Limit violation)

  10. Accuracy Bias No difference between true and actual Difference between true and actual Linearity Non linear change between measured parts and actual Linear correlation between measured parts and actual

  11. Precision Spread or variation of measured values • Repeatability • Variation due to the measuring device, or the variation observed when the same operator measures the same part repeatedly with the same device • Reproducibility • Variation due to the measuring system, or the variation observed when different operators measure the same part using the same device Tip On How to Remember: Machines Repeat – People Reproduce

  12. Precision (Gauge RR) Part A • Other Combinations • 10 parts, measure 2-3 times • One operator, multiple instruments • Crossed vs Nested (destructive testing) Operator 1 Part B Operator 2 Part C x10

  13. What do we mean?

  14. Conditions for Running Gauge Study

  15. Sources of Errors in Execution Example is not limited, other more detail sources of variation and issues exist

  16. Type of MSA

  17. Process for data gathering

  18. Acceptance Guidelines • Source Automotive Industry Action Group (AIAG) (2010). Measurement Systems Analysis Reference Manual, 4th edition. Chrysler, Ford, General Motors Supplier Quality Requirements Task Force • AIAG also states that the number of distinct categories into which the measurement system divides process output should be greater than or equal to 5

  19. Distinct Categories • Represents the number of non-overlapping confidence intervals that span the range of product variation • The number of distinct categories also represents the number of groups within your process data that your measurement system can discern • Example (Distinct Categories) • 2 = cannot distinguish the pars • 3 = can distinguish a bit (high, medium, large) • 4 = can distinguish a bit more • 5 = can distinguish sufficiently to come up with a conclusion • Categories is a sign of Resolution • Ability of the measurement system to detect and faithfully indicate small changes in the characteristic of the measurement result • Rule of tens (10 to 1 for measurement capabilities)

  20. Sources • http://reliawiki.org/index.php/Measurement_System_Analysis • https://www.minitab.com/uploadedFiles/Documents/sample-materials/FuelInjectorNozzles-EN.pdf • https://www.jmp.com/support/help/14-2/measurement-systems-analysis-platform-options.shtml • https://support.minitab.com/en-us/minitab/18/help-and-how-to/quality-and-process-improvement/measurement-system-analysis/supporting-topics/gage-r-r-analyses/is-my-measurement-system-acceptable/ • http://www.six-sigma-material.com/MSA.html • https://www.itl.nist.gov/div898/handbook/mpc/mpc.htm

  21. Questions?

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