youve raised an important concept.
The Monte Carlo Simulation (MCS) is applicable to only to the aleatory (naturally occurring) uncertainties.
These are random processes that can be modeled in the MCS tool. For "event based" uncertainties -
Epistemic - the MCS can be used once the probability of occurrence is defined and the impact of that "event"
is defined.The Risk Register typically contains information for both aleatory and epistemic
uncertainties that then turn into risk. The behaviors of these uncertainties "drive" risk and these of
course drive the impacts on Earned Value. goo.gl/qzn4S speaks to this.The critical
notion is "risk drivers," and the probabilistic impacts of these risks on cost, schedule, and technical
performance. Several tools, including Acumen and RiskyProject, and PERTMaster can model these impacts on the
Performance Measurement Baseline.I sit on the NDIA Risk and Opportunity committee, so
if youre interested I can forward our current efforts to integrate Risk with all aspects of program management.