Department of Industrial Engineering,Sharif University of Technology
Department of Industrial Engineering,University of Bu-Ali-Sina
In this paper, an analytical method is developed to compute the project completion time
distribution in a dynamic PERT network, where the activity durations are exponentially
distributed random variables. The projects are generated according to a renewal process and
share the same facilities. Thus, these projects cannot be analyzed independently. The authors'
approach is to transform this dynamic PERT network into a stochastic network and, then, to
obtain the project completion time distribution by constructing a proper continuous-time Markov
chain. This dynamic PERT network is represented as a network of queues, where the service
times represent the durations of the corresponding activities and the arrival stream to each node
follows a renewal process. Finally, the proposed methodology is extended to the generalized
Erlang activity durations.