Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
477719 | European Journal of Operational Research | 2008 | 8 Pages |
Abstract
We apply the stochastic dynamic programming to obtain a lower bound for the mean project completion time in a PERT network, where the activity durations are exponentially distributed random variables. Moreover, these random variables are non-static in that the distributions themselves vary according to some randomness in society like strike or inflation. This social randomness is modelled as a function of a separate continuous-time Markov process over the time horizon. The results are verified by simulation.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Amir Azaron, S.M.T. Fatemi Ghomi,