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.