February 2015 You have just completed a Gage R&R study on one of your critical to quality measurement systems. You want to find out how “good” that test method is. You have done everything right.

You carefully selected the parts to reflect the range of production. You carefully selected the operators to do the testing and randomized the run order for the parts.

They include Advanced Product Quality Planning & Control Plan (APQP). And that IATF 16949 and applicable quality reference manual requirements will be met. New software that will support DFMEA, Process Flow, PFMEA, Control Plans,. Check out our free Core Tools Key Terms document to get up to speed. Jan 15, 2015 - Advanced Product Quality Planning (APQP) and Production Part Approval. Application to Different Mfg. Change(s); Durable Tooling: transfer, replacement, refurbishment, or additional. (for additional details reference Advance Product Quality Planning and Control Plan AIAG Manual).

You ensured that the operators didn’t know what part they were testing. Each operator tested each part the required number of times. Now, you are ready to analyze the results. What method do you use? You can analyze the Gage R&R study using one of the following analysis techniques: • Average and Range Method • ANOVA • EMP (Evaluating the Measurement Process) All three techniques have been covered in detail in past publications.

This publication compares the output from the three techniques and attempts to decide which is best. We will assume that we want to use the test method for process control. In this issue: • • • • • • • • You may download a pdf copy of this publication.

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The Data The data we will use is from the 4th edition of the Measurement Systems Analysis manual published by AIAG. In this Gage R&R study, there are three operators and ten parts. Each operator runs each part three times. The data are shown in Table 1. For example, operator A ran part 1 three times with the following results: 0.29, 0.41, and 0.64. The data from this table are analyzed using each of the three Gage R&R analysis techniques using the SPC for Excel software. Before we start, we will quickly review the sources of variation in a Gage R&R study.

There are four sources we primarily follow: repeatability, reproducibility, part, and total. Table 1: The Data Op. From reading Wheeler, my understanding is that the fault here lies with the AIAG (using% of total standard deviation) rather than anything about the Average & Range method of interpretation.Running your Gauge R&R example data in Minitab 17, I found that its two available methods (ANOVA and Average & Range) give practically indentical results, where for both the reported% of variance is useful and the reported% of standard deviation isn't (and adds up to well over 100% for both methods).

Jul 02, 2015 •. My question is about how to handle a measurement that is a vector. In my particular case, I am looking at an Unbalance reading of a rotor that has a magnitude and an angle. I am only looking at Static Balance. If I visualize the total tolerance zone of a certain magnitude, the tolerance zone would be a 360 degree tolerance zone of radius of what the maximum permissible deviation from the perfect part would be. Now, if I wanted to find the If I visualize the tolerance zone, I would see that it is basically a circle. I would say that the diameter of the circle would be basically the diameter of the circle as described by the range of say 30 measurements of the same part.