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FLEET ASSIGNMENT MODELLING

Abstract

The article is devoted to the airline scheduling process and methods of its modeling. This article describes the main stages of airline scheduling process (scheduling, fleet assignment, revenue management, operations), their features and interactions. The main part of scheduling process is fleet assignment. The optimal solution of the fleet assignment problem enables airlines to increase their incomes up to 3 % due to quality improving of connections and execution of the planned number of flights operated by less number of aircraft than usual or planned earlier. Fleet assignment of scheduling process is examined and Conventional Leg-Based Fleet Assignment Model is analyzed. Finally strong and weak aspects of the model (SWOT) are released and applied. The article gives a critical analysis of FAM model, with the purpose of identifying possible options and constraints of its use (for example, in cases of short-term and long-term planning, changing the schedule or replacing the aircraft), as well as possible ways to improve the model.

About the Author

L. V. Pavlova
Moscow State Technical University of Civil Aviation
Russian Federation
Moscow


References

1. Ageeva Y. Approaches to incorporating robustness into airline scheduling. Master Thesis, Operations Research center, Massachusetts Institute of Technology, 2000.

2. Barnhart C., Smith B. Quantitative Problem Solving Methods in the Airline Industry. A Modeling Methodology Handbook. 2012.

3. Vinogradov L.V., Fridman G.M., Shebalov S.M. Mathematical methods for airline planning. Мoscow, 2008. (in Russian)

4. Vinogradov L.V., Fridman G.M., Shebalov S.M. Mathematical modeling for optimization problems in air industry: future developments and network effect. Мoscow, 2008. (in Russian)

5. Kurochkin E.P., Dubinina V.G. Airline business management. Moscow, 2009. (in Russian)


Review

For citations:


Pavlova L.V. FLEET ASSIGNMENT MODELLING. Civil Aviation High Technologies. 2016;19(5):186-192. (In Russ.)

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This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2079-0619 (Print)
ISSN 2542-0119 (Online)