Monte Carlo method step by step

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In the first step, we need to determine the purpose of our analysis: whether we want to focus solely on the development of the project schedule or whether it is also worthwhile to include financial aspects in the philippine cellphone number code project. Next, we need to develop a risk model based on the existing baseline and fill it with the necessary values. It is important that the data reflects all relevant risks, including both threats and opportunities. One disadvantage of Monte Carlo simulation is the possibility of obtaining a false result by supplementing the model with inaccurate or faulty data.

The next step is to repeat the simulation many times to work out all possible scenarios. The advantage of iterating the model is the ability to observe the real risk factors, the possible outcomes and the probability of achieving the set objectives.

During the implementation of a quantitative survey with and without risk responses, we can detect logical errors and incorrectly entered data. A second version of the model must then be created to include the effect of the agreed responses. Comparing the two developed models will allow us to observe how the planned actions affect the overall risk exposure and whether our responses are adequate.


Once we have the results, we can proceed to prioritize the actions and plan the critical path of the project. By carefully analyzing the probability of the scenarios, we can also carefully develop a plan with the team to deal with any of the risks.