A global approach to crew-pairing optimization
IBM Systems Journal
Solving airline crew scheduling problems by branch-and-cut
Management Science
A column-generation technique for the long-haul crew-assignment problem
Optimization in industry 2
The fleet assignment problem: solving a large-scale integer program
Mathematical Programming: Series A and B
Optimized Crew Scheduling at Air New Zealand
Interfaces
The Four-Day Aircraft Maintenance Routing Problem
Transportation Science
The Aircraft Maintenance Routing Problem
Operations Research
Flight String Models for Aircraft Fleeting and Routing
Transportation Science
Airline Fleet Assignment with Time Windows
Transportation Science
Benders Decomposition for Simultaneous Aircraft Routing and Crew Scheduling
Transportation Science
Airline Crew Scheduling with Time Windows and Plane-Count Constraints
Transportation Science
Improving Crew Scheduling by Incorporating Key Maintenance Routing Decisions
Operations Research
Applications of Operations Research in the Air Transport Industry
Transportation Science
Airline Schedule Planning: Accomplishments and Opportunities
Manufacturing & Service Operations Management
A Robust Fleet-Assignment Model with Hub Isolation and Short Cycles
Transportation Science
Robust Airline Fleet Assignment: Imposing Station Purity Using Station Decomposition
Transportation Science
Computers and Operations Research
Airline Crew Scheduling Under Uncertainty
Transportation Science
A Stochastic Programming Approach to the Airline Crew Scheduling Problem
Transportation Science
Robust Airline Crew Pairing: Move-up Crews
Transportation Science
Computers and Operations Research
Integrated Airline Fleeting and Crew-Pairing Decisions
Operations Research
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The airline fleet assignment problem involves assigning aircraft to flights to maximize profit. Different fleet assignment solutions cause dramatically different performance in subsequent crew-planning and operational processes. We have developed an integrated fleet and crew robust planning method to provide fleet assignment solutions that are both friendly to crew planning and robust to real-time operations. The three challenges of this work are (1) to understand the influence of fleet assignment on crew scheduling; (2) to address crew scheduling in a tractable way in the integrated model; and (3) to achieve robustness. We address these challenges by developing a new approach that integrates crew connections within the fleet assignment model and imposes station purity by limiting the number of fleet types and crew bases allowed to serve each airport. Computational results demonstrate that the proposed approach can reduce crew-planning cost, improve robustness, and solve industrial-size problems with good computational efficiency.