About the Monte Carlo Adapter

The Monte Carlo adapter randomly simulates a product or process, given the stochastic properties of one or more random variables (inputs), and characterizes the statistical nature of the responses (outputs) of interest.

The simulation methods run by the Monte Carlo adapter are considered the most accurate means of estimating the probabilistic properties of uncertain system responses resulting from uncertain inputs. To implement a Monte Carlo simulation, Optimization Process Composer generates a defined number of system simulations to be analyzed by sampling values of random variables (uncertain inputs), following the probabilistic distributions and associated properties defined for each.

You can use the Monte Carlo adapter to analyze the reliability and robustness of a design; for example, to describe failure time and breaking strengths for materials.