Quantitative Problem Solving Methods in the Airline Industry A Model
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 vi
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Series Editor Frederick S. Hillier, Stanford University, CA, USA Special Editorial Consultant Camille C. Price, State University, TX, USA Stephen F. Austin, State University, TX, USA
For further volumes: http://www.springer.com/series/6161
Cynthia Barnhart Barry C. Smith •
Editors
Quantitative Problem Solving Methods in the Airline Industry A Modeling Methodology Handbook
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Cynthia Barnhart Department of Civil and Environmental Engineering Massachusetts Institute of Technology Massachusetts Avenue 77 Cambridge, MA 02139-4307 USA e-mail: [email protected]
ISSN 0884-8289 ISBN 978-1-4614-1607-4 DOI 10.1007/978-1-4614-1608-1
Barry C. Smith Barry C. Smith LLC 6286 Willowgate Dallas, TX 75230 USA e-mail: [email protected]
e-ISBN 978-1-4614-1608-1
Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2011940035 Ó Springer Science+Business Media, LLC 2012 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Cover design: eStudio Calamar, Berlin/Figueres Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
Airlines and the practice of Operations Research have had a long, mutually beneficial relationship. As part of a regulated industry until 1978, US domestic airlines had the luxury of supporting significant research and development efforts in operations research. Since then, in a largely de-regulated industry, airlines continue to be major consumers, and developers, of Operations Research theory, methodology and applications. As a result, Operations Research has become a critical component of the problem solving culture at airlines, and is credited with enabling advanced capabilities leading to tremendous benefits. The airline industry has been a consistent source of Operations Research opportunity. Airline applications have motivated many developments in Operations Research methodology in areas such as large-scale optimization, forecasting and customer modeling. Some of Operations Research’s major success stories are from the airline industry, in particular crew scheduling, fleet assignment, operations management and revenue management. As airlines work to gain competitive advantage, they experiment with new technology; if it works, they use it. Today, no major airline operates without significant Operations Research support. Due to the size of the industry, eve
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