A single warehouse faces random daily demand and random supplier lead times. We roll the dice over many simulated days and thousands of trials to reveal the distribution of service level, stockouts and cost - not just one lucky average.
Monte Carlo turns uncertain inputs into full outcome distributions instead of single numbers.
Random draws of demand and lead time run through the model thousands of times.
Decide from percentiles, not means - the tail is where plans fail.
