Column Generation 2005
DOI: 10.1007/0-387-25486-2_6
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Large-Scale Models in the Airline Industry

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Cited by 42 publications
(32 citation statements)
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References 65 publications
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“…A related and well studied field of application is integrated vehicle and crew scheduling, for example in the airline business or in the public transport sector. Pertinent surveys are given in Klabjan (2005), Caprara, Kroon, Monaci, Peeters, and Toth (2007), and Desaulniers and Hickman (2007). However, the models and solution approaches used for solving such problems are always based on the fundamental assumption of a given timetable for the requests/tasks.…”
Section: Literature Reviewmentioning
confidence: 99%
“…A related and well studied field of application is integrated vehicle and crew scheduling, for example in the airline business or in the public transport sector. Pertinent surveys are given in Klabjan (2005), Caprara, Kroon, Monaci, Peeters, and Toth (2007), and Desaulniers and Hickman (2007). However, the models and solution approaches used for solving such problems are always based on the fundamental assumption of a given timetable for the requests/tasks.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Typical crew pairing models incorporate exponentially many variables, but have a fixed number of constraints and are solved by traditional column generation approaches where the pricing subproblem is a multi-label shortest path problem solved over an appropriate flight/duty network. (See [1] for a review of these concepts.) In our proposed robust model, the number of constraints (4) is not known a priori and depends on the pairings present in the model.…”
Section: Robust Airline Crew Pairing Problemmentioning
confidence: 99%
“…A single model to determine the optimal light network, albeit desirable, generally leads to large-scale problems of the NP-Hard class (HANE et al 1995;KLABJAN, 2004). It is a common practice to divide the problem into smaller problems such as Schedule Generation, Fleet Assignment and Crew Assignment, solved in consecutive steps, seeking to compute a solution at feasible times (RABETANETY, 2006).…”
Section: Introductionmentioning
confidence: 99%