Six Sigma Tolerance Design Case Study: Optimizing an Analog Circuit Using Monte Carlo Analysis
By Andy Sleeper, Successful Statistics LLC (a Decisioneering Six Sigma Partner)

Tolerance Design is the science of predicting the variation in system performance caused by variations in component values or the environment. This article shows how Monte Carlo simulation can be applied to predict and improve the quality of a system before even one prototype has been built. Using these methods allows new products to be developed rapidly and introduced with fewer unexpected problems. The case study in this article is a simple analog circuit. The analytical methods and optimization process may be successfully applied to any engineering problem where a transfer function can be derived.

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