| Article ID: | iaor2001619 |
| Country: | United States |
| Volume: | 47 |
| Issue: | 2 |
| Start Page Number: | 337 |
| End Page Number: | 341 |
| Publication Date: | Mar 1999 |
| Journal: | Operations Research |
| Authors: | Xiao Baichun, Feng Youyi |
| Keywords: | decision, probability |
This article presents a risk‐sensitive pricing model to maximize sales revenue of perishable commodities with fixed capacity and finite sales horizon. The model assumes a pair of predetermined prices and the Poission demand process whose intensity is a decreasing function of price. When optimizing the expected revenue, management takes business risk into account by adding a penalty (or premium) to the objective function. We solve the continuous‐time model with the exact solution in closed form. We further analyze the influence of risk attitude on optimal polices.