Tag: Six Sigma

Total 26 Posts

10 Steps to Creating a FMEA

A Failure Modes Effect Analysis (FMEA) is an extremely powerful tool that anyone can, and will, benefit from no matter your occupation or status in life. Tonight, we’ll discuss the history of the FMEA, the different types of FMEA, and finally how to actually construct one.  At the end of the

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How beer influenced statistics

Back in the early 1900s a certain W.S. Gosset, an Englishmen, was tasked with brewing better beer.  Really, I’m being serious. Gosset was a bright man, with two degrees from Oxford, and was hired by Guinness to help them brew the best beer using statistical methods instead of the “tribal knowledge” approach most

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5 Steps to Data Collection

Collecting data is tricky.  Many people think they can simply run off and grab some data, whip it into a spreadsheet, press some buttons and subsequently cure cancer.  I wish it worked this way… but it doesn’t. Generally, in most training programs and text books out there you will hear

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Repetitions versus Replications

Many Six Sigma practitioners struggle to differentiate between a repetition and replication. Normally this confusion arises when dealing with Design of Experiments (DOE). Let’s use an example to explain the difference. Sallie wants to run a DOE in her paint booth. After some brainstorming and data analysis she decides to

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Taguchi Index – Cpm

Last night we discussed the Taguchi Loss Function and how Taguchi methods are more concerned with hitting the target compared to more traditional methods that often focus on keeping our data between the upper and lower specification limits. Cpm Staying with this theme I now want to introduce Taguchi’s version

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Taguchi Loss Function

Saying the words “Genichi Taguchi” to a hard core “western statistician” may get you some dirty looks. Actually, some of these crazy statisticians may want to strike you for saying this person’s name. Why the hate you may ask?  Good question. Let me give you my take on it. Genichi

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Span – GE’s Variation Weapon

GE is arguably one of the best examples of Six Sigma excellence today. An often heard phrase is, “Motorola invented Six Sigma and GE perfected it.”A slick “variation weapon” GE has developed is called Span. I have never worked for GE but have worked with many former GE employees who

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Demystifying Design of Experiments

I love Design of Experiments (DOE). Over the years I have done my fair share of them – everything from simple 2^2 full factorial designs to your more complicated Response Surface Methodology designs. Tonight I want to start by explaining what DOE’s are and what they are not. I will

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Regression – Part 3

This evening we will wrap up our discussion of regression. So far we have discussed what regression is and a few ways to determine whether our model is significant. Next up I want to discuss something called the least squares method and residuals. I will wrap it all up with

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