Airline Revenue Management Under Alternative Fare Structures PDF Download

Author: Andrew Jacob Cusano
Publisher:
ISBN:
Category :
Languages : en
Pages : 240

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Author: Yin Shiang Valenrina Soo
Publisher:
ISBN:
Category :
Languages : en
Pages : 95

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(Cont.) The goal of this thesis is to provide a more comprehensive investigation into the effectiveness of fare adjustment as a tool to improve airline revenues in this new environment by 1) extending the investigation of the effectiveness of fare adjustment with standard forecasting to leg-based RM systems (namely EMSRb and HBP) and also a mixed fare structure where different fare structures are used for different markets, and 2) looking at the alternative use of fare adjustment in the reservation system. Experiments with the Passenger Origin-Destination Simulator demonstrate that RM Fare Adjustment with standard forecasting can improve an airline's network revenue by 0.8% to 1.3% over standard revenue management methods. In particular, RM Fare Adjustment reduces the aggressiveness of path forecasting through the lowering of bid prices as it takes into account the risk of buying-down. Simulations of Fare Adjustment in the Reservation System also showed positive results with revenue improvement of about 0.4% to 0.7%.

Author: Curt Cramer
Publisher: Springer Nature
ISBN: 3658337214
Category : Business & Economics
Languages : en
Pages : 122

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Book Description
The book provides a comprehensive overview of current practices and future directions in airline revenue management. It explains state-of-the-art revenue management approaches and outlines how these will be augmented and enhanced through modern data science and machine learning methods in the future. Several practical examples and applications will make the reader familiar with the relevance of the corresponding ideas and concepts for an airline commercial organization. The book is ideal for both students in the field of airline and tourism management as well as for practitioners and industry experts seeking to refresh their knowledge about current and future revenue management approaches, as well as to get an introductory understanding of data science and machine learning methods. Each chapter closes with a checkpoint, allowing the reader to deepen the understanding of the contents covered.This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.

Author: Richard L. Cléaz-Savoyen
Publisher:
ISBN:
Category :
Languages : en
Pages : 103

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(Cont.) We focus in this thesis on explaining the processes and mechanisms involved in these two methods, how they are linked and complement each other, but also on their performances based on a simulator which allows us to observe the impact of each method under various characteristics of the booking process.

Author: Ben Vinod
Publisher: Springer Nature
ISBN: 3030704246
Category : Business & Economics
Languages : en
Pages : 417

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Book Description
This book chronicles airline revenue management from its early origins to the last frontier. Since its inception revenue management has now become an integral part of the airline business process for competitive advantage. The field has progressed from inventory control of the base fare, to managing bundles of base fare and air ancillaries, to the precise inventory control at the individual seat level. The author provides an end-to-end view of pricing and revenue management in the airline industry covering airline pricing, advances in revenue management, availability, and air shopping, offer management and product distribution, agency revenue management, impact of revenue management across airline planning and operations, and emerging technologies is travel. The target audience of this book is practitioners who want to understand the basics and have an end-to-end view of revenue management.

Author: Kalyan T. Talluri
Publisher: Springer Science & Business Media
ISBN: 0387273913
Category : Business & Economics
Languages : en
Pages : 731

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Revenue management (RM) has emerged as one of the most important new business practices in recent times. This book is the first comprehensive reference book to be published in the field of RM. It unifies the field, drawing from industry sources as well as relevant research from disparate disciplines, as well as documenting industry practices and implementation details. Successful hardcover version published in April 2004.

Author: Nicholas James Liotta
Publisher:
ISBN:
Category :
Languages : en
Pages : 132

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The development of the New Distribution Capability for airlines has raised interest within the airline industry in “continuous pricing”, where fares offered to customers are not limited to a set of pre-determined price points. This thesis provides an overview of experiments on four revenue management (RM) methods proposed for the practical implementation of continuous pricing. Two of these methods, termed class-based RM for continuous pricing, utilize existing forecasting and seat protection optimization methods to determine what fares to offer. The other two methods, termed classless RM, calculate optimal fares based on the maximization of expected revenue contribution at a given point in time during the booking process. This thesis examines the performance of probabilistic bidprice and unbucketed dynamic programming methods for both the class-based and the classless methods for continuous pricing. The continuous pricing methods are compared with traditional class-based methods in unrestricted fare structures using the Passenger Origin Destination Simulator. Compared to a baseline with six fare classes, when two competing airlines both implement class-based continuous pricing, revenues can increase by up to 1%, and, when both airlines implement classless pricing, they can gain up to 2% in revenue. When only one airline implements continuous pricing in a competitive setting, revenue gains of 10–13% are possible over the six-fare class baseline. These larger gains mostly come at the expense of the competitor, which loses revenue and bookings. For all cases, as the number of fare classes in the baseline increases, the revenue gains of continuous pricing are diminished and may even become revenue losses under certain conditions. The positive results of the continuous pricing methods are a result of the increased price granularity offered by continuous pricing. It is this price granularity that causes most of the revenue gains when a competitor airline does not switch to continuous pricing. The price granularity effect also explains why increasing the number of fare classes with the traditional class-based RM methods can generate as much and sometimes more revenue than the continuous pricing methods.

Author: Jue Wang
Publisher:
ISBN:
Category :
Languages : en
Pages :

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[Truncated] Over the last decade, airline markets around the world have been reshaped dramatically by the rapidly growing low-cost carriers and new forms of distribution channel. Significant reduction in searching cost brought by the web-based distribution has made fare product comparison and purchasing an easier task. As a result, traditional demand models based on independent (fare class) demand assumption has been violated. A better understanding of passenger choice behaviour is now needed since the development of new generation revenue management (RM) system requires inputs of demand based on dependent fare classes. Early studies on dependent demand mainly focused on the buy-up and buy-down behaviour for single-leg flights. With the introduction of discrete choice modelling, more recent studies are beginning to incorporate competitions between flights and carriers into the model. In a discrete choice model, a customer is assumed to weigh up service levels of a fare product against its price. The fare option with the highest satisfaction is the one being chosen. As all the components taken into consideration by a traveller may not be readily at hand for the analyst, the satisfaction or utility of a fare product is measured by way of a systematic component - the observed utility - and a random component - the unobserved utility. As such, the choice decision is modelled up to a probability. Discrete choice models are theoretically sound for fare product demand forecasting, as they directly work on the decision making process of air travellers. Currently, the most widely applied discrete choice model in revenue management is the multinomial logit model (MNL), within which the unobserved utility of each alternative is independently and identically distributed (IID). Such a structure leads to the independence from irrelevant alternatives or IIA property. That is, the ratio of probabilities for two alternatives is independent from the existence of any other alternative in the choice set. However, the biggest limitation of IIA is the resulting proportional substitution pattern, which suggests that an improvement in the attributes of one alternative reduces the probabilities for all other alternatives by the same percentage. This highly restricted structure is unlikely to hold in the context of real airline markets. This is because the behaviour of compensatory travellers is likely to vary among the population, and to capture these variations advanced DCMs should be applied.

Author: Paul Freudensprung
Publisher: GRIN Verlag
ISBN: 3869437723
Category : Business & Economics
Languages : en
Pages : 25

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Seminar paper from the year 1998 in the subject Business economics - Supply, Production, Logistics, grade: 1.2, The University of Sydney, language: English, abstract: This paper discusses the practice of price differentiation in the airline industry and how airlines use yield management systems to control their different prices. Consequently it is explained how price differentiation is realised. Emphasis has been laid on discussing whether price differentiation is discriminatory and why it should be acceptable, even if it is discriminatory. In the second part the principles of yield management are explained and the major challenges with regards to the latest developments in electronic commerce are reviewed.

Author: Yanbin Long (Researcher in aeronautics and astronautics)
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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This thesis also explores potential response strategies by the competing airlines. We discover that competitors can reverse the first-mover's revenue gain by modifying their fare structures while still using traditional RM methods. We conclude that although adopting segmented continuous pricing is promising in theory, its actual gains depend heavily on the competitive situation and the responses made by other airlines.