Hi,
I have an issue with the experimenter when I create a high number of scenarios in models with high complexity (high number of objects and process flow blocks) in one experiment I get very weird results. Basically what happens is that I see unreasonably high variation in the metric I'm trying to measure. For example if I'm measuring output, the results vary from 1000 all the way down to 0. The number of scenarios in which this becomes a problem varies, but generally I seem to see it happen beyond ~60 scenarios, but sometimes as low as 15. The run time and replication count are over 1 month and over 20 respectively for each scenario.
I know this is an issue unrelated to how I set up the model because when I run each scenario one at a time (with exact same parameters, replications, run length, etc), the issue disappears and results are in line with expectations.
I am unable to share the models where I see this issue occur, but I am wondering if this is a known issue and if so, what steps can I take to resolve.
Another note, this seems to happen more frequently in newer versions (2020+)
Thanks in advance
Leo