Writing an Operational Definition for a Measure

Our Yellow Belt course includes an assignment where students are required to write an operational definition for measuring something.  An operational definition, when applied to data collection, is a clear, concise and detailed definition of a measure. The need for operational definitions is fundamental when collecting all types of data. Here is the text of […] read more

On June 4th, 2017, posted in: Articles, Six Sigma by Tags: ,

Using Monte Carlo Simulation in a Six Sigma Project

We often need to improve the performance of a complex system using Six Sigma.  In this article we will discuss how to use simulation to our benefit. We first define the problem as a requirement that is not being met.  We collect data about the extent of the problem and the factors that influence the […] read more

On April 10th, 2017, posted in: Articles, Six Sigma by Tags: ,

Statistical Software – a Trap for the Unwary

In our Six Sigma courses we make extensive use of Minitab statistical software.  Minitab is an extremely comprehensive and powerful software package.  At the same time author Milton Rosenau provided this caution when he said “(Software)…is also a trap for the unwary.” When evaluating the output of a piece of software such as Minitab, we […] read more

On March 15th, 2017, posted in: Articles, Six Sigma by Tags: ,

Quality Pioneers – The Evolution of Six Sigma – Fourth in a Series

One of the first assignments in our Black Belt course deals with the origins of the continuous improvement approach that we know today as Six Sigma.  Many students are surprised to learn that the body of knowledge and the tools and techniques have been evolving for well over 100 years. This article is the fourth […] read more

On March 4th, 2017, posted in: Articles, Six Sigma by Tags: ,