Designed Experiments – A High Level Introduction

In an earlier article, I discussed the transformation function Y = f(X), where Y represents the output of a process.  The output is a function of the inputs (the X’s) that affect the output. Designed Experiments are used to help us quantify the effect that the inputs have on the output of a process.  In […] read more

On August 9th, 2015, posted in: Articles, Six Sigma by Tags: , ,

The Transformation Function: Y = f(X)

Six Sigma is focused on improving the performance of processes.  In simple terms, processes have inputs, activities, and outputs.  The process activities transform the inputs that come from suppliers into a product or service that is delivered to a customer. Consider baking a cake.  The inputs are ingredients such as eggs, flour, milk, butter and […] read more

Statistical Software – A Trap for the Unwary

Statistical software is widely used in practice to conduct various statistical tests and to generate various graphs and charts.  In our Six Sigma courses we use Minitab, which has been under continuous development since 1972 and is one of the most widely used statistics packages.  There are many other fine products on the market as […] read more

On May 15th, 2015, posted in: Project Management by Tags: ,

Data Segmentation

In Six Sigma we collect and analyze data in order to look for patterns that will help us understand the behavior of a process and where to focus our improvement efforts.  Prior to collecting the data, we need to think about how we want to analyze the data.  If we fail to collect the detail […] read more