Flight-Scheduling Optimization and Automation for AnadoluJet

Başak Kepir (), Çağıl Koçyiğit, Işıl Koyuncu (), Melis Beren Özer (), Bahar Yetis Kara () and Melih Akif Gürbüz ()
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Başak Kepir: KPMG Management Consultancy, Istanbul, Turkey
Işıl Koyuncu: Department of Information Systems, Statistics, and Management Science, The University of Alabama, Tuscaloosa, Alabama 35487
Melis Beren Özer: Industrial Engineering, Bilkent University, 6800 Ankara, Turkey
Bahar Yetis Kara: Industrial Engineering, Bilkent University, 6800 Ankara, Turkey
Melih Akif Gürbüz: AnadoluJet, Ankara, Turkey

Interfaces, 2016, vol. 46, issue 4, 315-325

Abstract: AnadoluJet, a leading Turkish domestic airline carrier provides high-service, low-price flights to 28 locations within Turkey. Each winter and summer, AnadoluJet typically generates a new flight schedule. The company’s primary scheduling concerns are aircraft fleet utilization and the waiting times of transfer passengers. Balancing the trade-off between these two criteria in a flight schedule is crucial for AnadoluJet’s profitability. In this paper, we present the results of our study of AnadoluJet’s flight-scheduling process. We provide a mathematical model that addresses this problem and then extend our studies and implement a heuristic algorithm for the development of a decision support system for the company. The objectives of the models we generated are to maximize fleet utilization, minimize waiting times for the majority of transfer passengers, and generate flight schedules subject to various constraints. The schedules that result from our models are superior to those that AnadoluJet’s generated using its previous manual process. AnadoluJet currently uses our decision support system in its flight-scheduling process.

Keywords: low-cost carriers; flight scheduling; mathematical modelling (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:46:y:2016:i:4:p:315-325

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