Short-Term Flight Scheduling

Authors

1 Associate Professor, Department of Industrial Engineering, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran.

2 Master of Industrial Engineering, Islamic Azad University- South Tehran Branch, Tehran, Iran.

Abstract

Nowadays, air transportation industry is considered as one of the most important pivots of
growth in developed and developing countries. Due to increasing growth and need to develop
the infrastructure of this industry, the aviation sector enjoys a great importance. The intense
competition between airlines and the increased level of passengers’ expectation, has led to
considering complex scheduling and planning problems, so that requires new models and
methods to solve these problems. Scheduling difficulties which principals of airports and
airlines are encountering these days are much more complicated than conventional planning
problems. In this paper, one mathematical model has been proposed for an airport flight
scheduling in a horizon of one day, in which items such as fleet assignment, gate assignment
and flight scheduling and sequencing has been considered. In this paper, flight scheduling is
carried out so as to balance is created in various time intervals. In other words, the model tries
to avoid flight congestion in one or more time intervals and to schedule flights moderately in
different time intervals and also ensures different constraints of flight scheduling problem.
This problem has been modeled as a mixed integer programming model and has been solved
using an exact method with GAMS software.

Keywords


 
-Andersson T., and P. Varbrand. (2004), “The Flight perturbation problem”. Transportation planning and Technology 227(2), pp.91-117.
 
-Bea, K-H., et al., (2010), “Integrated Airline Operations: Schedule Design, Fleet Assignment, Aircraft Routing, and Crew Scheduling”. For the degree of Doctor of Philosophy in Industrial and Systems Engineering.
 
-Bolender M.A.  and Slater. G.L., (2000)­, Analysis and optimization of departure sequences. In pro-ceedings of the AIAA Guidance, Navigation and control conference and exhibit, Denver, co, August,
pp. 1672-1683.
 
-Cadarso, L., Marín, Á., (2013), “Robust passenger oriented timetable and fleet assignment integration in airline planning”. Journal of Air Transport Management 26,
pp. 44-49.
 
-Díaz-Ramírez J., Ignacio Huertas J. and Trigos F., (2014), “Aircraft maintenance, routing, and crew scheduling planning for airlines with a single fleet and a single maintenance and crew base”, Computers & Industrial Engineering, Vol. 75, pp. 68–78.
 

-Gürkan H., Gürel S. and Aktürk M.S., (2016), “An integrated approach for airline scheduling, aircraft fleeting and routing with cruise speed control”. Transportation Research Part C: Emerging Technologies, Vol. 68, pp. 38–57.

 
-Jaillet, P., Song, G., and Yu Gang., (1996), “Airline Network Design and Hub Location Problems”, Location Science, Vol.4,
pp. 195-211.
 
-Jungai, T. & Hongjun, X., (2012), "Optimizing Arrival Flight Delay Scheduling Based on Simulated Annealing Algorithm”. Physics Procedia 33, pp. 348 – 353.
 
-Klincewicz J. and Rosenwein M., (1995), “The Airline Exception Scheduling Problem”, Transportation Science, 29, pp. 4-16.
 
-Laderer Phillip J. and Nambimadom Ramakrishnam S. (1998), “Airline Network Design”, Operation Research, Vol. 46, No.6, November-December .
 
-Lieder A., Briskorn D., Stolletz R., (2015),
“A dynamic programming approach for the aircraft landing problem with aircraft classes”. European Journal of Operational Research, Volume 243, Issue 1, 16 May 2015, pp. 61–69.
 
-Marinelli M., Dell’Orco M., Sassanelli D., (2015), “A Metaheuristic Approach to Solve the Flight Gate Assignment Problem”. Transportation Research Procedia, Volume 5, pp. 211-220.
 
-Samà, M., D’Ariano, A. & Pacciarelli, D., (2013). Rolling Horizon Approach for Aircraft Scheduling in the Terminal Control Area of Busy Airports. Procedia - Social and Behavioral Sciences 80, pp. 531 – 552.
 
-Samà, M., D’Ariano, A., D’Ariano, P. & Pacciarelli, D., (2016), scheduling models for optimal aircraft traffic control at busy airports: Tardiness, priorities, equity and violations considerations. Omega,In Press, Corrected Proof .
 
-Sölveling G., Clarke J.P., (2014), “Scheduling of airport runway operations using stochastic branch and bound methods”. Transportation Research Part C: Emerging Technologies, Volume 45, August 2014, pp. 119–137.
 
-Teodorovic. Dusan B., (1983), “­Flight Frequency Determination.” Transportation Engineering, Vol. 109, No.5, September.
 
-Teodorovic D. and Guberinic S., (1984), “Optimal Dispatching Strategy on an Airline Network after a schedule perturbation”, European Journal of operational Research, 15, pp.178-182.
 
-Teodorovic Dusan, Milica Kalic, and Goran Pavcovic, (1994), “The potential for using Fuzzy set Theory In Airline Network Design”, Transportation Research (B), Vol. 28B, No.2, pp. 103-121.
 
 -Teodorovic D. and Stojkovic G., (1990), Model for operation Daily Airline Scheduling, Transportation Planning and Technology, 14, pp. 273-285.
 
-Teodorovic D. and Stojkovic G., (1995), Model to Reduce Airline Schedule Disturbances. Journal of transportation Engineering, pp. 324-331.
 
-Yan, S., Tang, C-H., Lee, M-C., (2007), “A flight scheduling model for Taiwan airlines under market competitions. Omega, The International Journal of Management Science, 35, pp. 61-74.
 
-Zhang D., Yu C., Desai J., Lau H., (2016),
“A math-heuristic algorithm for the integrated air service recovery”. Transportation Research Part B: Methodological, Volume 84, February 2016, pp. 211–236.
 
- اصغرپور، م.، (1385)، "تصمیم­گیری­های چندمعیاره"، چاپ چهارم، انتشارات دانشگاه تهران.
 
- طاهرخانی، ح.، (1388). "تعیین توالی پرواز همراه با جابجایی­های منطقه نگهداری در فرودگاه"، پایان­نامه کارشناسی ارشد دانشکده مهندسی صنایع دانشگاه صنعتی شریف.