Project planning with alternative technologies in uncertain environments
We study project scheduling with stochastic durations to maximize expected NPV. Individual activities carry a risk of failure, which can cause the project to fail. More than one alternative may exist for achieving certain deliverables. We find optimal solutions via stochastic dynamic programming. We examine the relation between duration variability and project value.
alternative technologies project scheduling uncertainty net present value stochastic activity durations