Dynamic Pricing, Advance Sales and Aggregate Demand Learning in Airlines

Dynamic pricing with real-time demand learning

In many service industries, the firm adjusts the product price dynamically by taking into account the current product inventory and the future demand distribution. Because the firm can easily monitor the product inventory, the success of dynamic pricing relies on an accurate demand forecast. In this paper, we consider a situation where the firm does not have an accurate demand forecast, but can...

Dynamic Pricing with Demand Learning under Competition

In this thesis, we focus on oligopolistic markets for a single perishable product, where firms compete by setting prices (Bertrand competition) or by allocating quantities (Cournot competition) dynamically over a finite selling horizon. The price-demand relationship is modeled as a parametric function, whose parameters are unknown, but learned through a data driven approach. The market can be e...

Joint optimization of pricing and capacity allocation for two competitive airlines under demand uncertainty

Nowadays, airline industries should overcome different barriers regarding the fierce competition and changing consumer behavior. Thus, they attempt to focus on joint decision making which enables them to set pricing and capacity allocation to maximize their profits. In this research, we develop a model to optimize pricing and capacity allocation in a duopoly of single-flight leg for two competi...

Dynamic Pricing and Inventory Control: the Value of Demand Learning

This paper studies various approaches to demand learning in the context of a one-shot inventory replenishment problem with dynamic pricing. The customer arrival process is assumed to be piecewise deterministic and Markovian with an unknown parameter. Homogeneous customers have an iso-elastic demand function and do not behave strategically. We study full information, non-learning, passive learni...

A Dynamic Model of Aggregate Demand and Aggregate Supply