Decision support system for risk management in robust fast tracking projects

Modern management strategies aim for the maximum reduction of projects duration. Two schedule compression techniques are usually used, applied to activities on the critical path of course. The Crashing consists in allocating more resources on a certain activity to make it end before; in this case we obtain an increase of total project cost. The Fast Tracking (FT) reduces the project duration by anticipating the beginning of activities originally scheduled to start sequentially. This method changes the relationship of activities. With fast tracking, activities that would normally be done in sequence are allowed to be done in parallel or with some overlap. This technique involves a relevant increase of project risk that is proportional to the achieved time compression. We believe that should be convenient to anticipate the analysis of fast tracking risks to identify effective, preventive and precautionary mitigation measures. So we try to define a decision support system to identify the risk related to Fast Tracking and Robust Fast Tracking and to choose the best policy to reduce time and to mitigate risks.

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