Category: sigma fav

Total 19 Posts

Calculating Rolled Throughput Yield (RTY)

One of the most poweful operational metrics I know of is Rolled Throughput Yield (RTY).  It’s used to assess the “true” yield of a given process.  This includes what we often call the “hidden factory” that plagues so many organizations… sucking profit right off their financial statements! Traditional Yield Let’s use

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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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