Robust Airline Fleet Assignment: Imposing Station Purity Using Station Decomposition
Transportation Science
Integrated Airline Fleet and Crew Robust Planning
Transportation Science
A New Approach for Air Cargo Network Planning
Transportation Science
A multi-objective approach for robust airline scheduling
Computers and Operations Research
Robust Airline Scheduling Under Block-Time Uncertainty
Transportation Science
Airline planning benchmark problems-Part I
Computers and Operations Research
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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.