Airline Network Revenue Management with Buy-up PDF Download
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Author:
Publisher:
ISBN:
Category : Airlines
Languages : en
Pages :
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Book Description
Author:
Publisher:
ISBN:
Category : Airlines
Languages : en
Pages :
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Book Description
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: Vikash V. B. Singh
Publisher:
ISBN:
Category : Airlines
Languages : en
Pages : 196
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Book Description
Author: Michael Müller-Bungart
Publisher: Springer Science & Business Media
ISBN: 3540723161
Category : Business & Economics
Languages : en
Pages : 307
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Book Description
This book analyzes revenue management (RM) problems with flexible products and RM in broadcasting companies. It presents models and methods that explicitly take the implications of flexibility into account. In addition, it contains descriptions of algorithms to generate stochastic demand data streams for general RM problems. To help readers with their own simulation studies, it provides an implementation as a Microsoft Windows executable file.
Author: Stephane J-C Bratu
Publisher:
ISBN:
Category : Airlines
Languages : en
Pages : 124
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Book Description
A connecting passenger occupies a seat on each of the flight leg of his itinerary. Moreover, for a given fare class, the fare of a connecting passenger is lower than the sum of the fares of the local passengers on the traversed legs. If the demand is high, giving availability to a connecting passenger may displace local passengers and the airline would lose revenue. The objective of this thesis is to evaluate methods that airlines can use to better estimate the network revenue value of connecting passengers for the purpose of determining seat availability. In this thesis we analyze and compare two different ways of estimating the network revenue value of the connecting passengers. The first approach consists of estimating the displacement cost of the connecting passenger on all the traversed legs by the shadow prices associated with the capacity constraints of a network linear program (LP). The second one is a prorated fare convergence technique developed in this thesis. The fares of the connecting passengers are prorated on each of the traversed legs using an estimation of the expected marginal revenue of the last seat on the legs. The existence and uniqueness of the limit for each prorated fare sequence are also proven. We have compared the performance of different seat inventory control models that incorporate these two network revenue estimation techniques. The optimization/booking simulation uses demand forecasts from an airline's Yield Management historical database. The seat inventory control methods that use the network revenue value concepts perform up to 1.50% better than the existing fare class control approach at a high demand scenario (82% average load factor). Moreover, the prorated fare convergence technique performs better than the LP shadow price displacement cost approach especially if the demand is controlled by a bid price mechanism. Indeed, for a high demand scenario and a relatively high number of reoptimizations along the booking process, the prorated fare convergence method performs 0.12% better than the shadow price approach for a bid price control mechanism. Finally, the revenue difference between the two methods is both significant and robust with respect to demand variations.
Author: Baskar Mohan
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
ABSTRACT: The airline industry is facing unprecedented challenges in generating sufficient revenues to stay in business. Airlines must capture the greatest revenue yield from every flight by leaving no seats unsold and not over filling the cabin with discount fares. To succeed in doing the above airlines must be able to accurately forecast each of their market segments, manage product andprice availability to maximize revenue and react quickly to competitive changes in the market place. Thus seat inventory control and ticket pricing form the two major tools of revenue management. The focus of this paper is to consolidate the ideas of seats inventory control and pricing in order to maximize the revenues generated by an airline network. A continuous time yield management model for a network with multiple legs, multiple fare classes and dynamic price changes for all fare classes is considered.
Author: Andris Möller
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Jingying Li
Publisher:
ISBN:
Category : Airlines
Languages : en
Pages : 234
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Book Description
Author: Kalyan T. Talluri
Publisher: Springer Science & Business Media
ISBN: 0387273913
Category : Business & Economics
Languages : en
Pages : 731
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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.
Author: Jochen Gönsch
Publisher:
ISBN:
Category :
Languages : en
Pages : 40
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Book Description
Recently, the standard dynamic programming model of network revenue management has been extended for integrated upgrade decision-making. However, opposed to the original model, heuristically breaking the extended model down into a series of single-leg problems by dynamic programming decomposition in order to allow for real-world application is not possible. This is because the model's state space does not incorporate resources but commitments reflecting already sold products and capacity consumption is only resolved at the end of the booking horizon, thereby considering upgrade options. In this paper, we consider arbitrary airline networks with upgrades being performed separately on each flight leg. We show that in this case, there are two reformulations of the extended model. First, we prove that an ad hoc formulation, in which upgrades are technically performed immediately after a sale, is completely equivalent. Second, we present another reformulation whose idea is adapted from linear programing-based production planning with alternative machine types. We prove that the resulting dynamic program is also equivalent. The advantage of both reformulations is that their state space is based on either real or virtual resources instead of the commitments used in the postponement formulation. Thus, dynamic programming decomposition techniques can again be applied. Despite the formal equivalence of both reformulations, applying decomposition techniques leads to different approximations and thus to potentially different results when applied in practice. Therefore, we finally numerically examine the approaches regarding revenue performance and discuss airline revenue management settings in which they differ.
