Clean way to use mean value with distributions

I have a model that is called with a strut with all the arguments (with units) needed. I would like to use this model to do uncertainty analysis by setting some of these values to a distribution.

I would like to be able to run the model with the expected values of the distributions, but also take draws when I’m running an uncertainty analysis.

Currently, what I do is I create a dist for a parameter I want changed and just set it in a for loop similar to this:

dist = Normal(Param.x, 1)
for i = 1:10
Param.x = rand(dist)

This works, but is cumbersome if I want to change the parameters I want to study or if I want to share my code.

What is the best way to do this?