@article {
author = {Modarres, M. and Azaron, A.},
title = {Project Completion Time in Dynamic PERT Networks with Generating Projects},
journal = {Scientia Iranica},
volume = {14},
number = {1},
pages = {-},
year = {2007},
publisher = {Sharif University of Technology},
issn = {1026-3098},
eissn = {2345-3605},
doi = {},
abstract = {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.},
keywords = {},
url = {http://scientiairanica.sharif.edu/article_2983.html},
eprint = {http://scientiairanica.sharif.edu/article_2983_59bd05a6d953a8d10db750682f3d8e4c.pdf}
}