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Mathematical Problems in Engineering - Volume 2015 2015, Article ID 783917, 13 pages -

Research Article

College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China

School of Air Transportation Management, Civil Aviation Flight University of China, Guanghan, Sichuan 618307, China

Received 1 October 2014; Revised 9 January 2015; Accepted 23 January 2015

Academic Editor: Masoud Hajarian

Copyright © 2015 Yu Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.





Autor: Yu Wang, Hong Sun, Jinfu Zhu, and Bo Zhu

Fuente: https://www.hindawi.com/



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