| 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.