Yield Analysis: Predict manufacturing success and ensure robust system reliability before production.
A simulation that only works with perfect components isn’t ready for the real world. Manufacturing introduces inevitable variations in component performance. RSD App’s Yield Analysis tool bridges the gap between theoretical design and physical production. By applying statistical variations to your system components, you can predict exactly how your RF architecture will perform across thousands of manufactured units, ensuring your design is truly production-ready.
Ensure your design is ready for mass production before building a single board.
Real-world components are never perfect. RSD App’s Yield Prediction tool uses robust Monte Carlo simulations to apply statistical variations to your cascade. By defining component tolerances and system-level pass/fail criteria, you can accurately predict manufacturing yields, identify hyper-sensitive components, and optimize your Bill of Materials (BOM) for cost and reliability.
Key Capabilities:
Monte Carlo Simulations: Automatically run hundreds or thousands of statistical iterations to evaluate system performance under real-world manufacturing conditions.
Custom Component Tolerances: Easily define +/- variation limits for individual components (such as amplifier gain, noise figure, or compression points) using standard statistical distributions (e.g., Gaussian).
Pass/Fail Yield Prediction: Set strict system-level specifications and instantly calculate your predicted manufacturing yield percentage, showing you exactly how many units will pass quality control.
Sensitivity Identification: Quickly pinpoint which specific component tolerances are having the biggest negative impact on your overall system yield, allowing you to optimize your Bill of Materials (BOM).
Statistical Visualization: Generate intuitive histogram and scatter plots to visualize the spread of your cascaded metrics (like cascaded NF or total gain) across all simulation runs.