Monte Carlo simulation is a modeling technique used to assess the probability of different outcomes in situations where there are uncertain or random variables involved. It involves running multiple simulations using random inputs within defined ranges to understand the range of possible outcomes and their associated probabilities. By generating a large number of scenarios, Monte Carlo simulation provides insights into the likelihood of different outcomes, allowing decision-makers to evaluate risks and make informed choices. It is commonly used in fields such as finance, engineering, and project management to analyze complex systems with inherent uncertainty.
Schedule a Complimentary Consultation.