Have you considered modelling the inputs as distributions to run a Monte Carlo simulation? Since you are doing an optimisation, I am afraid it would take some time to get results, but maybe 100 or 1 k samples is feasible?
The Monte Carlo simulation would consider the uncertainty of all the inputs simulaneously, so the sensitivity analyses would be simplified.
Great work!
Have you considered modelling the inputs as distributions to run a Monte Carlo simulation? Since you are doing an optimisation, I am afraid it would take some time to get results, but maybe 100 or 1 k samples is feasible?
The Monte Carlo simulation would consider the uncertainty of all the inputs simulaneously, so the sensitivity analyses would be simplified.
Thanks!
And thanks for the suggestion, I’ve created a version of the model using a Monte Carlo simulation here :-)
Great, I will have a look!