Whether in DMAIC, Design for Six Sigma (DFSS), Lean projects, or Design of
Experiments (DOE), uncertainty and variability lie at the core
of any Six Sigma analysis. I’m interested in how Monte Carlo simulation can be used to identify,
measure, and root out the causes of variability in production and service
processes and designs.