Six-sigma statistical methods strengthen designs
EE Times, Mark Rencher and Jack Sifri, 15 September 2003
This is the fourth in a series addressing issues related to semiconductor design-for-yield.  This article discusses Monte Carlo simulation as a statistical design method.

Using Monte Carlo Simulation as a Process Control Aid
iSixSigma.com, Dirk Jordan
Monte Carlo simulation is often used as a powerful tool in the Analyze or the Improve phase of a Six Sigma DMAIC project. For instance, Monte Carlo simulation can be used to improve the capability of processes. The Monte Carlo simulations can quantify the expected variation improvement. However, simulations are not only very powerful when utilized in the earlier phases of a DMAIC project, they also are a powerful tool in statistical process control.

Six Sigma Tools for Every Day Projects and Processes
iSixSigma.com, Karl D. Williams
This article summarizes various Six Sigma tools and approaches, including Monte Carlo simulation.