Early prediction of project schedule slippage

Schedule slippage can be avoided if timely preventive measures are adopted. The most common solution involves deploying additional manpower to boost productivity. But increasing the manpower deployed can hasten product development only to a certain point. Staffing beyond this elusive optimum can actually delay the ultimate completion of a project. To complicate the issue, optimal staffing for minimal development time is not easily ascertainable. But the predicted development time of a product and the skill level of the development team can be used as indicators of schedule slippage. This paper uses the Gamma model to provide skill level and completion time insights into optimally staffing a project