PMP-Based Optimization Method for Determining Airline Fleet Composition

Yu Wang

doi:10.4028/www.scientific.net/AMM.505-506.645

Paper Titles

The Study of Train Operation Plan of Night Train on Beijing-Guangzhou High-Speed Railway under Segmented Rectangular Maintenance Time Window
p.619

Research on Transportation Organization Schemes of Jinzhongnan Railway Passage
p.624

High-Speed Railway Passenger Node Classification Method and Train Stops Scheme
p.632

Research on Post Evaluation System of Scenic Highway and Quantitative Evaluation with Interval Approximation Method
p.637

PMP-Based Optimization Method for Determining Airline Fleet Composition
p.645

Research on Passenger Capacity of Escalator in the Hub
p.650

The Research on the System of Level of Service of the City Commercial Pedestrian Street
p.656

Study on Multi-Objective Greenness Planning Model for Liners
p.666

Study on Transport Lines Configuration of Highway Passenger Station
p.671

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 505-506PMP-Based Optimization Method for Determining...

PMP-Based Optimization Method for Determining Airline Fleet Composition

Abstract:

Traditional methods for determining airline fleet composition could not reflect the impact of network effects on fleet composition. To solve this problem for airlines operating in the mode of Hub & Spoke network, the passenger mix problem was incorporated into the model of determining airline fleet composition. The purchasing number of aircrafts in each fleet type, the frequencies of each aircraft type flying on legs and the spilling number of passengers from each itinerary were treated as decision variables. The limitations including maximum flying frequencies on each leg, available flying time each fleet type can provide and maximum passengers spilled from each flight leg were considered as constraints. A model to minimize the fleet planning cost was constructed. The numerical example shows that the fleet planning cost derived from this proposed model is 46266381.64 Yuan and reduces by 3914969.70 Yuan compared to the result from the traditional leg-based model. In hence, this proposed model is effective and feasible.