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Gage R&R

Blog posts and articles about Gage Repeatability and Reprodicibility (Gage R&R) studies for quality improvement.

Recently, Minitab News featured an article that talked about how to perform a Gage R&R Study with only one part. This prompted many users to contact our technical support team with questions about next steps, like these: What can I do with the output of a Gage study with only one part?  How can I use the variance component estimates to obtain meaningful information about my measurement system? By... Continue Reading
Measurement systems analysis (MSA) is essential to the success of any data analysis. If you cannot rely on the tool you’re using to take measurements, then why bother collecting data to begin with? It would be like trying to lose weight while relying on a scale that doesn’t work. What’s the point in weighing yourself? Minitab Statistical Software offers many types of tools that you can use to... Continue Reading
I recently got a request from one of our Facebook fans to do a post about orthogonal regression, which I admit is not a subject I’m very familiar with. However, with a little help from Minitab’s help resources and by consulting a few Minitab experts, I think I came up with a post that will be useful. I thought it would help to discuss orthogonal regression with an example, but first... What the... Continue Reading
The Minitab Fan section of the Minitab blog is your chance to share with our readers! We always love to hear how you are using Minitab products for quality improvement projects, Lean Six Sigma initiatives, research and data analysis, and more. If our software has helped you, please share your Minitab story, too! Throughout my 15 years as a Six Sigma Initiative Leader, Consultant, Trainer, Black... Continue Reading
Have you ever found yourself switching back and forth between a Microsoft Excel file and Minitab Statistical Software just to complete a single analysis? Which software will give me the accurate results I need quickly? I decided to put a few important factors to the test—workflow, organization, quality focus, and help. The review below provides my own two cents on which software seems to work best... Continue Reading
There are some sounds that are quintessential summertime…the whir of the lawnmower, shrieks of children splashing in the pool, the crackle of a campfire. I’m sure we could think of a hundred more. For me, one sound that comes to mind in particular is the chirp of crickets in the evening. In this blog we'll recreate an old country trick using cricket chirps and, I hope, learn some new Minitab... Continue Reading
I remember sitting in my ninth-grade chemistry class when my teacher mentioned that the day’s lesson would include a discussion about accuracy and precision, and how both relate to making experimental measurements. I’ve always been more of a liberal-arts-minded individual, and I initially thought, Is there really a difference between the two terms? In fact, I even remembered using the words... Continue Reading
Last week, a customer called with an issue related to running a Gage R&R nested design in Minitab Statistical Software.  Everything initially looked okay, as he had the three columns necessary to perform a successful study: one for parts, one for operators, and another for the measurements.  However, when he tried to analyze his data using Stat > Quality Tools > Gage Study > Gage R&R (Nested), he... Continue Reading
When I first started learning about Lean Six Sigma and familiarizing myself with all the different terminology and methodologies, I was a little overwhelmed and confused by all the acronyms. FMEA, C&E Matrix, Gage R&R, SIPOC, DMAIC…the list goes on and on! However, I really got tripped up by the similar-sounding acronyms of DMAIC, DMADV, and DFSS. These acronyms stand for the most common Lean Six... Continue Reading
In recent posts, we’ve reviewed a number of Measurement Systems Analysis (MSA) studies: Type I Gage Studies, Linearity and Bias Studies, and Gage R&R Studies. Before that, we took a look at a cause and effect diagram, also called a fishbone diagram. And we did all this because we were getting ready to practice a designed experiment.   Remember the fishbone diagram?   On the fishbone diagram, I... Continue Reading
So this time, we finally have the fun of getting to look at the full gage R&R results. Here’s how the data turned out, and some of the exciting stuff that went along with getting it.   RunOrder Operators Parts Measurements 1 J1 Red 37.9375 2 J1 Green 28.375 3 J1 Yellow 72.25 4 J2 Yellow 72.0625 5 J2 Red 38.25 6 J2 Green 28.4375 7 Kevin Red 41.0625 8 Kevin Green 22.25 9 Kevin Yellow 72.1875 10 J3 Green 22.1875 11 J3 Yellow 72.3125 12 J3 Red 40.9375 13... Continue Reading
Now that we’ve explored using gummi bears to do a gage Linearity and Bias Study and a Type I Gage Study, it’s time to use gummi bears to practice the third and final type of measurement systems analysis that I’m planning to demonstrate: the gage R&R study."R&R" stands for Repeatability and Reproducibility, which are the two sources of variation we typically evaluate in a gage R&R study.... Continue Reading
Last time, we set up a worksheet for doing a Gage Linearity and Bias Study in Minitab Statistical Software. This time, we’ll take a look at my sample data and see what we might learn from a Gage Linearity and Bias Study. Getting comfortable with the variation present in measurement systems will go a long way towards building your confidence with quality statistics. Remember too that the... Continue Reading
Today, we’re going to get ready to do a Gage Linearity and Bias Study with gummi bears. But to do the linearity and bias study, you first have to talk more about how to collect the data. The Gage Linearity and Bias study has a complication that wasn’t present in the Type 1 Gage Study.The point of the gage linearity and bias study is to assess the bias of a gage across its operating range, not just... Continue Reading
Gummi bears have more to teach us about measurement systems analysis.Today, we’ll look at doing a Type 1 Gage Study, which compares the measurement variation to the specifications for your process, to judge whether a gage is measuring well enough. The Type 1 Gage Study is a starting point because it evaluates accuracy, precision, and consistency, but only for a single case. Later, we’ll look... Continue Reading
What can gummi bears tell us about measurement system analysis?  We're still practicing statistics with gummi bears, because they don't bounce or slide off of popsicle sticks. In my last post, we looked at some factors that might affect how far a gummi bear flies off of a popsicle stick catapult. Next, what we'd really like to do is to pick some factors to study and do a designed experiment to... Continue Reading
In my last post, I discussed what the "Number of Distinct Categories" means in gage R&R output . Another common question with Gage Crossed is what table to look at when assessing your measurement system.  By default, Minitab gives a %Contribution table and %Study Variation table. Which one should you use when assessing where the variation is mostly coming from? Well, you could use either of them. ... Continue Reading
Recently I've been thinking about common questions that customers ask when running a Gage R&R analysis in Minitab. For example, when you run a Gage R&R, the last result that shows up in the session window is a value for the ‘Number of Distinct Categories’.  This one metric is something that customers seem to overlook when they call to discuss their Gage studies.          This value represents the... Continue Reading
“Fear leads to anger, anger leads to hate, hate leads to suffering.” Yoda This quotation sums up the way most people’s relationship to statistics develops. But not me. My name is Cody Steele, and I’m the guy who Eston Martz warned you about. From the time my 6-year-old self decided that Superman’s most amazing power was his intelligence, through buying a calculus book after college so that I could... Continue Reading
Data collection involves taking measurements, and this seems like a simple thing when the subject is relatively simple.  However, even the simplest of cases has the potential to be messed up.  I found this out the hard way once. I hope sharing it helps you avoid a similar experience. Experienced researchers and quality practitioners know they need to verify that a measurement system provides valid... Continue Reading