Improved Forecast Accuracy in Airline Revenue Management by Unconstraining Demand Estimates from Censored Data

Improved Forecast Accuracy in Airline Revenue Management by Unconstraining Demand Estimates from Censored Data PDF

Author: Richard H. Zeni

Publisher: Universal-Publishers

Published: 2001

Total Pages: 274

ISBN-13: 1581121415

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Accurate forecasts are crucial to a revenue management system. Poor estimates of demand lead to inadequate inventory controls and sub-optimal revenue performance. Forecasting for airline revenue management systems is inherently difficult. Competitive actions, seasonal factors, the economic environment, and constant fare changes are a few of the hurdles that must be overcome. In addition, the fact that most of the historical demand data is censored further complicates the problem. This dissertation examines the challenge of forecasting for an airline revenue management system in the presence of censored demand data. This dissertation analyzed the improvement in forecast accuracy that results from estimating demand by unconstraining the censored data. Little research has been done on unconstraining censored data for revenue management systems. Airlines tend to either ignore the problem or use very simple ad hoc methods to deal with it. A literature review explores the current methods for unconstraining censored data. Also, practices borrowed from areas outside of revenue management are adapted to this application. For example, the Expectation-Maximization (EM) and other imputation methods were investigated. These methods are evaluated and tested using simulation and actual airline data. An extension to the EM algorithm that results in a 41% improvement in forecast accuracy is presented.

Modeling Applications in the Airline Industry

Modeling Applications in the Airline Industry PDF

Author: Ahmed Abdelghany

Publisher: Routledge

Published: 2016-04-15

Total Pages: 308

ISBN-13: 1317094891

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Modeling Applications in the Airline Industry explains the different functions and tactics performed by airlines during their planning and operation phases. Each function receives a full explanation of the challenges it brings and a solution methodology is presented, supported by numerical illustrative examples wherever possible. The book also highlights the main limitations of current practice and provides a brief description of future work related to each function. The authors have filtered the rich literature of airline management to include only the research that has actually been adopted by the airlines, giving a genuinely accurate representation of real airline management and its continuing development of solution methodologies. The book consists of 20 chapters divided into 4 sections: - Demand Modeling and Forecasting - Scheduling of Resources - Revenue Management - Irregular Operations Management. The book will be a valuable source or a handbook for individuals seeking a career in airline management. Written by experts with significant working experience within the industry, it offers readers insights to the real practice of operations modelling. In particular the book makes accessible the complexities of the key airline functions and explains the interrelation between them.

Segmentation, Revenue Management and Pricing Analytics

Segmentation, Revenue Management and Pricing Analytics PDF

Author: Tudor Bodea

Publisher: Routledge

Published: 2014-03-21

Total Pages: 262

ISBN-13: 113662483X

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The practices of revenue management and pricing analytics have transformed the transportation and hospitality industries, and are increasingly important in industries as diverse as retail, telecommunications, banking, health care and manufacturing. Segmentation, Revenue Management and Pricing Analytics guides students and professionals on how to identify and exploit revenue management and pricing opportunities in different business contexts. Bodea and Ferguson introduce concepts and quantitative methods for improving profit through capacity allocation and pricing. Whereas most marketing textbooks cover more traditional, qualitative methods for determining customer segments and prices, this book uses historical sales data with mathematical optimization to make those decisions. With hands-on practice and a fundamental understanding of some of the most common analytical models, readers will be able to make smarter business decisions and higher profits. This book will be a useful and enlightening read for MBA students in pricing and revenue management, marketing, and service operations.

Artificial Intelligence and Machine Learning in the Travel Industry

Artificial Intelligence and Machine Learning in the Travel Industry PDF

Author: Ben Vinod

Publisher: Springer Nature

Published: 2023-05-26

Total Pages: 182

ISBN-13: 3031254562

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Over the past decade, Artificial Intelligence has proved invaluable in a range of industry verticals such as automotive and assembly, life sciences, retail, oil and gas, and travel. The leading sectors adopting AI rapidly are Financial Services, Automotive and Assembly, High Tech and Telecommunications. Travel has been slow in adoption, but the opportunity for generating incremental value by leveraging AI to augment traditional analytics driven solutions is extremely high. The contributions in this book, originally published as a special issue for the Journal of Revenue and Pricing Management, showcase the breadth and scope of the technological advances that have the potential to transform the travel experience, as well as the individuals who are already putting them into practice.

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

Published: 2011-12-22

Total Pages: 461

ISBN-13: 1461416086

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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

Published: 2006-02-21

Total Pages: 731

ISBN-13: 0387273913

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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.

The Future of Pricing

The Future of Pricing PDF

Author: E. Boyd

Publisher: Springer

Published: 2016-04-30

Total Pages: 192

ISBN-13: 0230606903

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A story about science, technology, and people, The Future of Pricing provides an inside look at how airlines price tickets and how practices developed in the airline industry are now revolutionizing the world of pricing. This book is written for business professionals and students wanting to better understand the rapid growth of scientific pricing.

Supply Chain Management and Knowledge Management

Supply Chain Management and Knowledge Management PDF

Author: A. Dwivedi

Publisher: Springer

Published: 2008-11-20

Total Pages: 309

ISBN-13: 023023495X

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Advances in IT have transformed the way organizations interact with each other. To enable organizations to respond to this change, new management paradigms have evolved. This text looks at the value of knowledge management in supply chain management and how supply chain partners can use IT to improve organizational performance.

Computational Logistics

Computational Logistics PDF

Author: Francesco Corman

Publisher: Springer

Published: 2015-09-18

Total Pages: 752

ISBN-13: 3319242644

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This book constitutes the refereed proceedings of the 6th International Conference on Computational Logistics, ICCL 2015, held in Delft, The Netherlands, in September 2015. The 50 papers presented in this volume were carefully reviewed and selected for inclusion in the book. They are organized in topical sections entitled: transport over ground, transport over water, international coordination within a system, external coordination among systems.