A Model-Driven Framework to Support Portfolio Management Under Uncertainties

Project Portfolio management has become a standard in the business world as a means of structuring and achieving corporate objectives. It enables the progress of a project portfolio to be monitored and evaluated using a wide range of techniques, in particular the risks management approach. However, due to the complexity and uniqueness of these portfolios, it’s becoming increasingly difficult to predict the evolution of portfolios and assess the impact of every change on the performance regarding the predefined objectives. This leads to emerging uncertainties that portfolio managers must address at each stage of the portfolio management process. To address this problem, we focus on the execution phase of portfolio management process and present through the vision of uncertainty in a portfolio management context, a model-driven framework using the Physics of Decision paradigm to support the execution phase of a projects portfolio. This framework presents a new approach to monitor projects portfolios which add flexibility and information interpretation to the risk management principles and could serve as a basis for the development of future information systems.