Most Six Sigma projects follow the DMAIC protocol. As you would learn during online Six Sigma courses on the topic, DMAIC stands for Define, Measure, Analyze, Improve and Control. In this article, we will focus on the first element of the Six Sigma approach – Six Sigma Define Phase – and the most important document […]
Author: Leanie Louw
6 Steps to Build a House of Quality
The House of Quality, or Quality Function Deployment (QFD), is a useful tool that Six Sigma Black Belt practitioners use during the Define phase of the DMAIC cycle of Six Sigma projects. The topic can be briefly discussed in Green Belt training or sometimes on online free Six Sigma courses. However, the House of Quality […]
5 Sampling Methods You Should Know
In any Six Sigma project, the team will have to take a sample of the population that they are studying. Lean Six Sigma courses cover a variety of sampling methods for this purpose. Sampling in statistics is usually applied in the Six Sigma Measure phase of the Six Sigma DMAIC cycle. Six Sigma Green Belt training […]
Introduction to Collecting a Sample in Statistics
The Six Sigma approach to problem-solving is primarily data-driven. To obtain data in the Measure phase of the DMAIC process, it is important to understand sampling and the concept of a sample in statistics. A sample in statistics has very specific qualities. Lean Training Course and Green Belt training include a significant amount of information […]
How to Calculate Probability Using the Poisson Distribution?
Lean Six Sigma Green Belt course graduates deal with two types of data during the Six Sigma Measure phase of their Six Sigma DMAIC projects: continuous data and discrete data. The Poisson distribution is a probability distribution for discrete data which takes on the values which are X = 0, 1, 2, 3 and so […]