Monte Carlo Simulation with Minitab® Statistical Software

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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.