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A partially integrated airline crew scheduling approach with time-dependent crew capacities and multiple home bases

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References

1989Handbooks in operations research and management science2,388 cited
1999Handbook of Transportation Science560 cited
1993Solving Airline Crew Scheduling Problems by Branch-and-Cut537 cited
1989A Column Generation Approach to the Urban Transit Crew Scheduling Problem332 cited
2004Airline Crew Rostering: Problem Types, Modeling, and Optimization218 cited
1988A new approach for crew pairing problems by column generation with an application to air transportation203 cited
1969The Airline Crew Scheduling Problem: A Survey172 cited
2003Improving Crew Scheduling by Incorporating Key Maintenance Routing Decisions154 cited
2001Computer-Aided Scheduling of Public Transport151 cited
1992The Solution of Massive Generalized Set Partitioning Problems in Aircrew Rostering136 cited
2002A network model for airline cabin crew scheduling71 cited

Cited by

2016A new heuristic branching scheme for the crew pairing problem with base constraints39 cited
2020Alternating Lagrangian decomposition for integrated airline crew scheduling problem38 cited
2013Integrated Short-Haul Airline Crew Scheduling Using Multiobjective Optimization Genetic Algorithms37 cited
2012

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A network-based approach to the multi-activity combined timetabling and crew scheduling problem: Workforce scheduling for public health policy implementation

36 cited

2015A Route Recommendation System for Sightseeing with Network Optimization and Conditional Probability6 cited

2016A Framework of Route Recommendation System for Sightseeing from Subjective and Objective Evaluation of Tourism Data4 cited