| Article ID: | iaor200940062 |
| Country: | United Kingdom |
| Volume: | 5 |
| Issue: | 4 |
| Start Page Number: | 291 |
| End Page Number: | 304 |
| Publication Date: | Jan 2007 |
| Journal: | Journal of Revenue and Pricing Management |
| Authors: | Higle Julia L |
| Keywords: | programming: probabilistic |
A bid–price policy is a revenue management scheme in which the marginal value of an asset (eg, a seat on a plane) is used to determine when arriving customers should be permitted to purchase the asset. In essence, when the price that the customer offers exceeds the bid price, a sale takes place. In this paper, we consider a stochastic programming–based approach to bid–price computations. We develop our model based on uncertain demand between origin–destination (O–D) pairs, and explicitly recognise that multiple routes are available for each O–D pair. A simulation–based demonstration of our approach suggests that our proposed methodology performs well when compared to deterministically based bid price computations.