Full Monte P6 is a high performance cost and schedule risk analysis tool for Oracle Primavera P6. As a standalone application working directly with the P6 data base, there is no need for imports and exports. And it is fast enough to operate directly on your detailed schedule so there is no need to create artificial summary projects.The spreadsheet-style data entry, inheritance of data down the WBS, and user-defined templates allow rapid defintion and allocation of uncertainty no matter how large or complex your project.

• Cost and schedule are fully integrated, using P6’s resource cost rates, and these rates themselves can be made subject to uncertainty.
• Calendars can be modeled with seasonality, autocorrelation, and residual randomness.
• A sophisticated correlation model makes it easy to correlate task durations and resource cost rates in a symmetrical way and with the minimum of data entry.
• Full Monte also supports conditional and probabilistic branching. This allows the impact of risk events to be easily modelled.
• Cost and schedule sensitivity analysis can be done relative to the project as a whole or to key milestones (for schedule) or WBS elements (for cost).   This analysis properly takes account of the uncertainty and interacton between all other tasks, and so the resulting tornado chart is not necessarily symmetrical.This can also be augmented on demand by a detailed analysis comparing the whole distribution of the target under alternative assumptions. So you can see the sensitivity at any point on the cumulative distribution curve, not just the mean.
• Joint Confidence Level scatter plots shows the probability of simultaneously achieving any pair of cost and schedule targets for your project, and individual task, or for any level in the WBS.

All this plus flexible user-definable reports including barcharts, and access to percentiles as well as expected values and standard deviations of cost, duration, early and late dates, free and total float for every task. Histograms and S-curves of all of this data are available at the touch of a button once a simulation has been performed.

 

10,000 trials on a 10,000-task network takes about 10 minutes on a decent laptop. This means you will not be tempted to do too few trials (and hence get less reliable results) or to use a summary schedule (laying yourself open to systematic bias, as well as the danger of having the simulated schedule diverge from the real one).