Airline Revenue Management: Models for Capacity Control of a Single Leg and a Network of Flights PDF Download
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Author: Laila Haerian
Publisher:
ISBN:
Category :
Languages : en
Pages : 179
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Book Description
Dynamic programming (DP) is one of the most powerful tools for finding the optimal booking policy for capacity control of a single leg flight. However, the extension of it to a network of flights is impractical due to the exponential growth of the size of the model with number of legs in the network. In this work we develop and use an approximate DP model to find the optimal protection levels on a single leg flight and extend it to a network of flights as well. We develop a Markov chain to calculate the expected revenue that is generated under implementation of a fixed policy at each stage of the approximate DP model and for any remaining capacity and then search for the optimal policy. We use large time chunks in the proposed DP model to decrease the computational effort and show that the resulting expected revenue converges to the expected revenue that is generated under implementation of the original DP approach. Unlike many of the existing models, in our proposed method, nesting is incorporated into the optimization procedure. Furthermore, by using the proposed Markov chain model, the expected generated revenue can be calculated directly and without using simulation.
Author: Laila Haerian
Publisher:
ISBN:
Category :
Languages : en
Pages : 179
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Book Description
Dynamic programming (DP) is one of the most powerful tools for finding the optimal booking policy for capacity control of a single leg flight. However, the extension of it to a network of flights is impractical due to the exponential growth of the size of the model with number of legs in the network. In this work we develop and use an approximate DP model to find the optimal protection levels on a single leg flight and extend it to a network of flights as well. We develop a Markov chain to calculate the expected revenue that is generated under implementation of a fixed policy at each stage of the approximate DP model and for any remaining capacity and then search for the optimal policy. We use large time chunks in the proposed DP model to decrease the computational effort and show that the resulting expected revenue converges to the expected revenue that is generated under implementation of the original DP approach. Unlike many of the existing models, in our proposed method, nesting is incorporated into the optimization procedure. Furthermore, by using the proposed Markov chain model, the expected generated revenue can be calculated directly and without using simulation.
Author: Rainer Hoffmann
Publisher: KIT Scientific Publishing
ISBN: 3731500035
Category : Business & Economics
Languages : en
Pages : 238
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Book Description
This book studies air cargo capacity control problems. The focus is on analyzing decision models with intuitive optimal decisions as well as on developing efficient heuristics and bounds. Three different models are studied: First, a model for steering the availability of cargo space on single legs. Second, a model that simultaneously optimizes the availability of both seats and cargo capacity. Third, a decision model that controls the availability of cargo capacity on a network of flights.
Author: Demet Çetiner
Publisher: Springer Science & Business Media
ISBN: 3642358225
Category : Business & Economics
Languages : en
Pages : 180
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Book Description
A major problem arising in airline alliances is to design allocation mechanisms determining how the revenue of a product should be shared among the airlines. The nucleolus is a concept of cooperative game theory that provides solutions for allocating the cost or benefit of a cooperation. This work provides fair revenue proportions for the airline alliances based on the nucleolus, which assumes a centralized decision making system. The proposed mechanism is used as a benchmark to evaluate the fairness of the revenue sharing mechanisms, where the alliance partners behave selfishly. Additionally, a new selfish revenue allocation rule is developed that improves the performance of the existing methods.
Author: Christiane Barz
Publisher: Springer Science & Business Media
ISBN: 3540730141
Category : Business & Economics
Languages : en
Pages : 173
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Book Description
This book revises the well-known capacity control problem in revenue management from the perspective of a risk-averse decision-maker. Modelling an expected utility maximizing decision maker, the problem is formulated as a risk-sensitive Markov decision process. Special emphasis is put on the existence of structured optimal policies. Numerical examples illustrate the results.
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: 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: Rainer Hoffmann
Publisher:
ISBN: 9781000034028
Category :
Languages : en
Pages : 0
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Book Description
This book studies air cargo capacity control problems. The focus is on analyzing decision models with intuitive optimal decisions as well as on developing efficient heuristics and bounds. Three different models are studied: First, a model for steering the availability of cargo space on single legs. Second, a model that simultaneously optimizes the availability of both seats and cargo capacity. Third, a decision model that controls the availability of cargo capacity on a network of flights.
Author: Cynthia Barnhart
Publisher: Springer Science & Business Media
ISBN: 1461416086
Category : Business & Economics
Languages : en
Pages : 461
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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.
Author: Rolf Hellermann
Publisher: Springer Science & Business Media
ISBN: 3540344209
Category : Business & Economics
Languages : en
Pages : 208
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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.
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.
