| Article ID: | iaor1989578 |
| Country: | United States |
| Volume: | 19 |
| Issue: | 4 |
| Start Page Number: | 10 |
| End Page Number: | 19 |
| Publication Date: | Jul 1989 |
| Journal: | Interfaces |
| Authors: | Alstrup Jens, Anderson Sven-Eric, Boas Soren, Madsen Oli B., Vidal Rene Victor V. |
| Keywords: | decision, decision theory |
Planes are overbooked to avoid empty seats. Yet, there is a trade-off of increased upgradings, downgradings, and denied boardings. The patterns of reservations, cancellations, and no-shows are random. Thus, determining the best overbooking levels involves stochastic multistage optimal decision making and time series analysis. An overbooking model for a nonstop flight with two types of passengers is based on a statistical description of the booking process and two-dimensional stochastic dynamic programming. It produces, apparently for the first time, an optimal policy for a real case. The model has been validated and used at Scandinavian Airlines. The net potential revenue increase was about two million US dollars per year.