Expected Duration of Dynamic Markov PERT Networks

Expected Duration of Dynamic Markov PERT Networks

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Abstract : In this paper , we apply the stochastic dynamic programming to approximate the mean project completion time in dynamic Markov PERT networks.It is assumed that the activity durations are independent random variables with exponential distributions, but some social and Bosch GSN33VW3PG Frost Free Upright Freezer with 225L Capacity and A++ Rating economical problems influence the mean of activity durations.It is also assumed that the social problems evolve in accordance Headphone Amplifiers with the independent semi-Markov processes over the planning horizon.By using the stochastic dynamic programming, we find a dynamic path with maximum expected length from the source node to the sink node of the stochastic dynamic network.

The expected value of such path can be considered as an approximation for the mean project completion time in the original dynamic PERT network.