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Analyzing Monte Carlo Models¶
This section covers tools for analyzing and understanding your Monte Carlo simulation results in Quantum XL.
Variance Analysis¶
Understanding which inputs contribute most to output variation is critical for design optimization.
- Percent Contribution - Calculate the percentage of output variance contributed by each input
- Sensitivity Analysis - Analyze how sensitive outputs are to changes in inputs
Quality Metrics¶
- DPM vs Out of Spec - Understanding defects per million and out-of-specification rates
- Expected Value Analysis - Calculate expected values from simulation results
Latitude Analysis¶
Latitude plots show the relationship between input variation and output specification limits.
- Latitude Plots - Visualize input latitude vs. specification windows
Optimization¶
- Parameter Design - Optimize input parameters to minimize variation
- Tolerance Allocation - Optimally allocate tolerances across inputs
Visualization¶
- Surface and Contour Plots - 3D surface and 2D contour plots of the response