HomeBlogPage 12

Blog

Showing 111 - 120 of 325 results
  • October 10, 2024
Yates analysis is a method of analyzing data from full and partial factorial design experiments. It requires two levels for...
  • October 10, 2024
Today I’ll introduce Alex Johnston. He is a Six Sigma Black Belt whom I’ve worked with building question sets for...
  • October 10, 2024
Welcome to The Six Fix, a 10-week experiment where I’m on a mission to make Lean Six Sigma concepts more...
  • October 10, 2024
One of the most common questions I get is ‘How much time do I need to study for a six...
  • October 10, 2024
Failure Mode Effects Analysis (FMEA) is a tool that helps us anticipate what might go wrong with a product or...
  • October 10, 2024
Process Characterization is a method to identify and quantify the significant source of variation. In other words, the purpose of...
  • October 10, 2024
The program (or project) evaluation and review technique (PERT) is a statistical tool we can use to plan and analyze project tasks. What is Included...
  • October 10, 2024
Process control for non-normal data involves monitoring and managing industrial or operational processes that produce non-normally distributed data. Non-normal data,...
  • October 10, 2024
As Jeremy has stated in our previous post (“How the Pareto Principle Can Give Us All the Wisdom of Solomon”),...
  • October 10, 2024
Other designed experiment types cover the one-factor designs (randomized block plans, Latin square designs, Graeco-Latin designs, and Hyper-Graeco-Latin designs) and...