Work

Optimization Model and Algorithm Design for Airline Fleet Planning in a Multiairline Competitive Environment

Year: 2015

Type: article

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.

Source: Mathematical Problems in Engineering

DOI: 10.1155/2015/783917

Authors: Yu Wang, Hong Sun, Jinfu Zhu, Bo Zhu

Institutions: Civil Aviation Flight University of China, Nanjing University of Aeronautics and Astronautics

Language: English

Topic: Aviation Industry Analysis and Trends

Subfield: General Economics, Econometrics and Finance

Field: Economics, Econometrics and Finance

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $2,550

Funder: National Natural Science Foundation of China