ProModel Enterprise Portfolio Simulator (EPS)

Rapid Modeling Using Current Data

EPS from ProModel becomes an integrated component of an existing PPM process by adding modeling capabilities to current project data, modeling is available almost immediately. Instead of implementing a new PPM system, and bringing everyone on board before getting results, EPS allows the key project portfolio decision makers to begin validating and improving their portfolios.

The vendor helps users to:

Enhance project selection
Project selection is a complicated process of weighing competing objectives. Projects must be prioritized, and equally important, measured against limited resources and budget. When considering which projects to do, when to start them, and whether to increase/decrease budgets and staffing, there are thousands, if not millions, of possible project selection combinations. Scenario planning, that is both nimble and intelligent, is critical for successful project selection. EPS uses drag and drop planning as well as a competing-objective optimizer to help get the most projects into the portfolio while not putting their completion or constraints at risk.

Resource Capacity Planning
Simple resource capacity planning adds up resource demand for project plans and compares it against a capacity. This approach is lacking, which leads to significant project delays. Robust resource capacity planning adds two things. 1. Account for hidden resource constraints that put projects at risk. 2. Model the impact of resource shortfall on project schedules. Combine these two additional factors with scenario planning, and more projects can be complete by the same set of resources with much higher likelihood of being on time.

Risk Forecasting and Mitigation
Turn qualitative risk categories into quantifiable impacts to project schedules, resources, and financials. It is common to rank risks in categories by severity (e.g. Project A has a ‘High’ risk of being impacted by ‘Technical Complexity’). EPS provides an easy mechanism, using simulation, to turn these risk categories into measurable likelihoods that the risks will cause project delays, resource over allocations, and cost overruns. These risks can then be mitigated using scenario planning for fire prevention vs. the much more costly firefighting that happens when the projects are in flight.