On the Expected Completion Time of Diffusion Activity Networks (DiAN)
Traditionally, uncertainties in activity durations have been modelled as random variables with corresponding probability distribution functions. These latter are assumed to be known a priori. In reality estimates of activities’ “remaining work cbntents” as well as their duration vary dynamically over time, with divergent variability as the planning horizon extends into the future. To capture this dynamic nature of the estimates, we model the activity as diffusion processes.
KeywordsCompletion Time Polynomial Approximation Activity Duration Complex Project Work Content
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