|
|
||||||||
Operations Research Center, and the Center for Transportation and Logistics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02134
Plagued by high labor costs, low profitability margins, airspace and airport congestion, high capital and operating costs, security and safety concerns, and complex and large-scale management and operations decisions, the airline industry has armed its planners with sophisticated optimization tools to improve decision making and increase airline profits. In this paper, we describe optimization approaches for airline schedule planning, demonstrating how optimization can facilitate the management of a diverse and finite set of expensive, highly constrained resources. We focus on the art and science of modeling and solving these problems, providing illustrative examples of the associated impacts and challenges, and highlighting effective techniques that might be applicable to problems arising in other industries.
Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109
cbarnhart{at}mit.edu
amycohn{at}umich.edu
History: Received: November 7, 2002;
This article has been cited by other articles:
![]() |
U. Derigs, S. Friederichs, and S. Schafer A New Approach for Air Cargo Network Planning Transportation Science, August 1, 2009; 43(3): 370 - 380. [Abstract] [PDF] |
||||
![]() |
C. Gao, E. Johnson, and B. Smith Integrated Airline Fleet and Crew Robust Planning Transportation Science, February 1, 2009; 43(1): 2 - 16. [Abstract] [PDF] |
||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |