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Slide 2 zooming presentation

Using this presentation:

  • Slide #2 – Zooming Presentation

  • Slide #2 contains an embedded zooming slideshow – 3 things to make it work

  • 1) You’ll need an internet connection

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  • Slide #2 – YouTube Video

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  • Zooming Presentation Available Here:

    • http://prezi.com/-sxorzwzdzp8/what-is-measurement-system-analysis/

  • “What is Measurement System Analysis?” Full Video Available Here:

    • http://youtu.be/eXHKi6Osb6s

  • Slide #4 Onwards

  • 20 Slides you can use for your own purposes


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Video Link - What is Measurement System Analysis?


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What is Measurement System Analysis?


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Q: What is Measurement System Analysis (MSA)?

A: It’s a set of techniques that allow us to answer the question:

IF I USE THIS GAGE TO MEASURE,

HOW MUCH CAN I TRUST THE MEASUREMENTS I GET?

MSA is based on Measurement Error


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Understanding Measurement Error

Take a single item, and measure it multiple times using the same gage/same technique/same appraiser


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Understanding Measurement Error

Record the measurements and draw a histogram


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Understanding Measurement Error

The histogram represents a sample from a normal distribution with a Mean, and a Standard Deviation (derived from spread)


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Understanding Measurement Error

  • Consider the position of the mean – This is how we determine the bias of the system

    • Imagine we had measured a reference size – a standard – of a known dimension.

    • We could compare the mean of our results to the actual size of the standard.

    • The difference is Bias


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Bias

Reference Value = 0.500 – This is a known size

Mean of multiple measurements = 0.525

The gage is, on average, measuring about 0.025 too big.

It has a positive bias of 0.025


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Bias

The gage is, on average, measuring about 0.025 too small.

It has a negative bias of 0.025


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Bias

The gage is, on average, measuring the same size as the standard.

It has a zero bias


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Bias

But, we have only dealt with Bias at one size at one point in time

A Gage is used over a range of sizes

And over a period of time

Bias may change depending on these factors:

Linearity

Change in Bias over the operating range of the gage

Stability

Change in Bias over time


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Bias

Linearity – Change in Bias over operating range


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Bias

Stability – Change in Bias over time


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Bias

Stability & Linearity

For standard Gages - How does the calibration system deal with Bias?


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Variation

Repeatability & Reproducibility

  • Bias is based on the location of the mean of the distribution

  • What about the spread of sizes?

    • For a perfect gage this spread would be as small as possible

    • We need to determine if we can live with the spread (variation) of measurement error from the gage

    • We know that when one person uses the gage we get variation – This is the variation inherent in the Gage – REPEATABILITY

    • If we have more than one person using the gage, this may introduce more variation - REPRODUCIBILITY


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Variation

Repeatability & Reproducibility


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Variation

Gage R&R

One way to determine the amount of variation in the Measurement System is through a Gage R&R Study

Take say, 10 parts, 3 appraisers, and measure each part 3 times ( or 15 parts x 4 appraisers x 5 replicates – whatever you want)

Analyze the results using statistical methods e.g. Analysis of Variance (ANOVA) to determine how much variation comes from

Gage R&R

Repeatability

Reproducibility


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Variation

Gage R&R

Screenshot from Free Online Gage R&R ANOVA Calculator at www.GageRandR.com


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Variation

Gage R&R


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Variation

Gage R&R

When we’ve calculated the magnitude of the

Repeatability

Reproducibility

Both together – Gage R&R

We can compare them to:

A Tolerance

A Process Capability

The amount of Total variation in the Gage R&R Study

Anything else that helps answer the question:

How much can I trust my data if I use this Gage ?


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  • Visit:

  • www.GageRandR.com

  • For more info about:

  • Measurement System Analysis

  • Gage R&R

  • Free Online Gage R&R Calculator (ANOVA)

  • Interactive Process and Gage Simulation

  • Other helpful stuff

[email protected]


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