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An Option-based Method for Revenue Management in the Airline Industry with Two Classes

An Option-based Method for Revenue Management in the Airline Industry with Two Classes PDF Author: Chang Liu
Publisher:
ISBN:
Category :
Languages : en
Pages : 58

Book Description


An Option-based Method for Revenue Management in the Airline Industry with Two Classes

An Option-based Method for Revenue Management in the Airline Industry with Two Classes PDF Author: Chang Liu
Publisher:
ISBN:
Category :
Languages : en
Pages : 58

Book Description


Geld-Wechsel - Wechsel-Geld

Geld-Wechsel - Wechsel-Geld PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 90

Book Description


Airline Revenue Management for Continuous Pricing

Airline Revenue Management for Continuous Pricing PDF Author: Nicholas James Liotta
Publisher:
ISBN:
Category :
Languages : en
Pages : 132

Book Description
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.

Airline Revenue Management

Airline Revenue Management PDF Author: Curt Cramer
Publisher: Springer Gabler
ISBN: 9783658337209
Category : Business & Economics
Languages : en
Pages : 113

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.

Quantitative Problem Solving Methods in the Airline Industry

Quantitative Problem Solving Methods in the Airline Industry PDF Author: Cynthia Barnhart
Publisher: Springer Science & Business Media
ISBN: 1461416086
Category : Business & Economics
Languages : en
Pages : 461

Book Description
This book reviews Operations Research theory, applications and practice in seven major areas of airline planning and operations. In each area, a team of academic and industry experts provides an overview of the business and technical landscape, a view of current best practices, a summary of open research questions and suggestions for relevant future research. There are several common themes in current airline Operations Research efforts. First is a growing focus on the customer in terms of: 1) what they want; 2) what they are willing to pay for services; and 3) how they are impacted by planning, marketing and operational decisions. Second, as algorithms improve and computing power increases, the scope of modeling applications expands, often re-integrating processes that had been broken into smaller parts in order to solve them in the past. Finally, there is a growing awareness of the uncertainty in many airline planning and operational processes and decisions. Airlines now recognize the need to develop ‘robust’ solutions that effectively cover many possible outcomes, not just the best case, “blue sky” scenario. Individual chapters cover: Customer Modeling methodologies, including current and emerging applications. Airline Planning and Schedule Development, with a look at many remaining open research questions. Revenue Management, including a view of current business and technical landscapes, as well as suggested areas for future research. Airline Distribution -- a comprehensive overview of this newly emerging area. Crew Management Information Systems, including a review of recent algorithmic advances, as well as the development of information systems that facilitate the integration of crew management modeling with airline planning and operations. Airline Operations, with consideration of recent advances and successes in solving the airline operations problem. Air Traffic Flow Management, including the modeling environment and opportunities for both Air Traffic Flow Management and the airlines.

The Theory and Practice of Revenue Management

The Theory and Practice of Revenue Management PDF Author: Kalyan T. Talluri
Publisher: Springer Science & Business Media
ISBN: 0387273913
Category : Business & Economics
Languages : en
Pages : 731

Book Description
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.

Pricing and Revenue Optimization

Pricing and Revenue Optimization PDF Author: Robert Phillips
Publisher: Stanford University Press
ISBN: 0804781648
Category : Business & Economics
Languages : en
Pages : 470

Book Description
This is the first comprehensive introduction to the concepts, theories, and applications of pricing and revenue optimization. From the initial success of "yield management" in the commercial airline industry down to more recent successes of markdown management and dynamic pricing, the application of mathematical analysis to optimize pricing has become increasingly important across many different industries. But, since pricing and revenue optimization has involved the use of sophisticated mathematical techniques, the topic has remained largely inaccessible to students and the typical manager. With methods proven in the MBA courses taught by the author at Columbia and Stanford Business Schools, this book presents the basic concepts of pricing and revenue optimization in a form accessible to MBA students, MS students, and advanced undergraduates. In addition, managers will find the practical approach to the issue of pricing and revenue optimization invaluable. Solutions to the end-of-chapter exercises are available to instructors who are using this book in their courses. For access to the solutions manual, please contact [email protected].

The Evolution of Yield Management in the Airline Industry

The Evolution of Yield Management in the Airline Industry PDF Author: Ben Vinod
Publisher: Springer Nature
ISBN: 3030704246
Category : Business & Economics
Languages : en
Pages : 417

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.

Ancillary Services in the Airline Industry

Ancillary Services in the Airline Industry PDF Author: Adam Bockelie
Publisher:
ISBN:
Category :
Languages : en
Pages : 282

Book Description
The recent proliferation of ancillary services means that airline passengers can face substantially different ancillary service prices and offerings based on their itinerary and fare class selection. At the same time, airlines have become interested in accounting for this supplementary revenue stream in their revenue management (RM) systems to maximize total, not just ticket, revenue. This thesis develops models for both of these issues, with a goal of providing a better understanding of how ancillary services affect the airline industry. We develop the Ancillary Choice Model (ACM) to describe how passengers make purchase decisions about ancillary services in conjunction with the selection of a fare class. We model two extremes of passenger knowledge and awareness of ancillary services, which we term simultaneous and sequential. We show that under the simultaneous model, the presence and price of ancillary services can affect the fare class selection of a passenger, even when all fare classes have the same ancillary prices. The second part of this thesis studies total revenue optimization. We provide a detailed assessment of a prior total revenue maximization approach, the Optimizer Increment (01), proving that it can be an optimal revenue management strategy under limited conditions, but also showing through the Passenger Origin-Destination Simulator (PODS) that it decreases revenue in more realistic environments. We then develop a new revenue management optimization model, the Ancillary Choice Dynamic Program (ACDP), which maximizes total revenue by explicitly including the revenue and fare class choice impacts of ancillary services. We describe an Ancillary Marginal Demand (AMD) and Ancillary Marginal Revenue (AMR) transformation that can be used as heuristics to provide the ancillary and choice awareness benefits of ACDP to existing RM optimization models.

Capacity Options for Revenue Management

Capacity Options for Revenue Management PDF Author: Rolf Hellermann
Publisher: Springer Science & Business Media
ISBN: 3540344209
Category : Business & Economics
Languages : en
Pages : 208

Book Description
This book proposes capacity options as a flexible alternative air cargo contract type, and illustrates how capacity can be priced through option contracts. The analysis is accomplished by means of an analytical multivariate optimization model under price and demand uncertainty. A case study using data from a leading German carrier illustrates the financial potential. Finally, the author shows how capacity-option contracts integrate into the context of air cargo revenue management.