Article ID: | iaor20011996 |
Country: | United States |
Volume: | 48 |
Issue: | 2 |
Start Page Number: | 233 |
End Page Number: | 242 |
Publication Date: | Mar 2000 |
Journal: | Operations Research |
Authors: | Nemhauser George L., Glockner Gregory D. |
We consider a dynamic network flow problem where the arc capacities are random variables. This gives a multistage stochastic linear program. We describe the randomness using a multi-scenario approach. Because of the multilayered structure, there are several ways to decompose the linear program. We classify different decomposition schemes, and we develop a scheme called compath decomposition, which is derived from path decomposition for network flows. We give a polynomial-time algorithm to find a cheapest compath that can solve the subproblems resulting from compath decomposition. Finally, compath decomposition is extended to multicommodity flow problems.