2014 ◽  
Vol 505-506 ◽  
pp. 645-649
Author(s):  
Yu Wang

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.


Omega ◽  
2020 ◽  
Vol 97 ◽  
pp. 102101
Author(s):  
Constantijn A.A. Sa ◽  
Bruno F. Santos ◽  
John-Paul B. Clarke

2015 ◽  
Vol 46 ◽  
pp. 30-39 ◽  
Author(s):  
Slavica Dožić ◽  
Milica Kalić

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Yu Wang ◽  
Hong Sun ◽  
Jinfu Zhu ◽  
Bo Zhu

This paper presents a multiobjective mathematical programming model to optimize airline fleet size and structure with consideration of several critical factors severely affecting the fleet planning process. The main purpose of this paper is to reveal how multiairline competitive behaviors impact airline fleet size and structure by enhancing the existing route-based fleet planning model with consideration of the interaction between market share and flight frequency and also by applying the concept of equilibrium optimum to design heuristic algorithm for solving the model. Through case study and comparison, the heuristic algorithm is proved to be effective. By using the algorithm presented in this paper, the fleet operational profit is significantly increased compared with the use of the existing route-based model. Sensitivity analysis suggests that the fleet size and structure are more sensitive to the increase of fare price than to the increase of passenger demand.


2014 ◽  
Vol 34 ◽  
pp. 109-115 ◽  
Author(s):  
Michael Rosskopf ◽  
Stephan Lehner ◽  
Volker Gollnick

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