An Analysis of Bid-Price Controls for Network Revenue Management
Management Science
A Randomized Linear Programming Method for Computing Network Bid Prices
Transportation Science
Revenue Management: Research Overview and Prospects
Transportation Science
Revenue Management in a Dynamic Network Environment
Transportation Science
Overbooking with Substitutable Inventory Classes
Operations Research
Revenue Management of Flexible Products
Manufacturing & Service Operations Management
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Dynamic Capacity Management with Substitution
Operations Research
Dynamic control mechanisms for revenue management with flexible products
Computers and Operations Research
Impacts of imprecise demand forecasts in network capacity control: an online analysis
INOC'11 Proceedings of the 5th international conference on Network optimization
Hi-index | 0.00 |
While flexible products have been popular for many years in practice, they have only recently gained attention in the academic literature on revenue management. When selling a flexible product, a firm retains the right to specify some of its details later. The relevant point in time is after the sale, but often before the provision of the product or service, depending on the customers' need to know the exact specification in advance. The resulting flexibility can help to increase revenues if capacity is fixed and the demand to come difficult to forecast. We present several revenue management models and control mechanisms incorporating this kind of flexible products. An extensive numerical study shows how the different approaches can mitigate the negative impact of demand forecast errors.