I come again with another phylosophical question;-)
Normally, Monte Carlo methods assure that 30 runs are enough to be sure at a 90 percent that 96 percent of your designs will be between the maximum and minimum values found by the Monte Carlo simulations.
I supose that this is for only one parameter varying, isn't it?
What can the industrial guys say?
For a system where more than 20 parameters can be varying at same time, how many simulations we should do?