Volume 18, Issue 3 (International Journal of Engineering 2007)                   IJIEPR 2007, 18(3): 1-5 | Back to browse issues page

XML Print


1- , fatemi@aut.ac.ir
Abstract:   (7666 Views)

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 economical problems influence the mean of activity durations. It is also assumed that the social problems evolve in accordance 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.

 

Full-Text [PDF 95 kb]   (2148 Downloads)    
Type of Study: Research | Subject: Material Managment
Received: 2009/04/20