Monte Carlo Simulation with Minitab® Statistical Software




Download Your Copy

We respect your privacy, by submitting this form you agree to having your details passed onto the sponsor who may promote similar products and services related to your area of interest. For further information on how we process and monitor your personal data click here.

The Monte Carlo method is often used in Design for Six Sigma (DFSS) to analyze the sensitivity of a prototype system, and to predict yields and/or Cp and Cpk values. A product design should ideally have a small degree of sensitivity to process variation so its performance remains well within specification limits. This White Paper from Minitab shows discusses how Monte Carlo methods may be implemented in a manufacturing process environment, to study the sensitivity of a process to variations.

To continue reading this story

Learn More   Existing Users