You find the experimenter tutorial here.
It mentions that this is used when you want to test out changes to your system, but it does not mention that you just might want to find statistics and answers to questions about the system as-is. For example what's the 95% percentile completion time for a given order; the most utilized equipment; the predicted wip, or the likelihood an operation will be on the critical path of a process? Running an experiment of replications will tell you these answers without the need for alternative scenarios/parameter sets.
What is the tutorial on running simulations using distribution when we want to find statistics about the as-is system
I don't think there's a tutorial on this as such. Consider what you're trying to simulate and whether it is better to run your model, for example, for one replication of 1 year or 365 replications of 1 day. FlexSim takes care of the random samples from distributions to give you different values throughout the run. When you change the replication number the sequence of random numbers changes - effectively giving you a different but still valid outcome. If you're unclear on this read up on the principles of discrete event and monte-carlo simulations.
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