| Article ID: | iaor20032890 |
| Country: | United States |
| Volume: | 36 |
| Issue: | 4 |
| Start Page Number: | 357 |
| End Page Number: | 377 |
| Publication Date: | Nov 2002 |
| Journal: | Transportation Science |
| Authors: | Goldsman David, Nemhauser George L., Johnson Ellis L., Kleywegt Anton J., Rosenberger Jay M., Schaefer Andrew J. |
We present a stochastic model of the daily operations of an airline. Its primary purpose is to evaluate plans, such as crew schedules, as well as recovery policies in a random environment. We describe the structure of the stochastic model, sources of disruptions, recovery policies, and performance measures. Then, we describe SimAir – our simulation implementation of the stochastic model – and we give computational results. Finally, we give future directions for the study of airline recovery policies and planning under uncertainty.