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Solving a large-scale integrated fleet assignment and crew pairing problem

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Abstract

Airline schedule planning problems are typically decomposed into smaller problems, which are solved in a sequential manner, due to the complexity of the overall problems. This results in suboptimal solutions as well as feasibility issues in the consecutive phases. In this study, we address the integrated fleet assignment and crew pairing problem (IFACPP) of a European Airline. The specific network and cost structures allow us to develop novel approaches to this integrated problem. We propose an optimization-driven algorithm that can efficiently handle large scale instances of the IFACPP. We perform a computational study on real-world monthly flight schedules to test the performance of our solution method. Based on the results on instances with up to 27,500 flight legs, we show that our algorithm provides solutions with significant cost savings over the sequential approach.

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Author information

Authors and Affiliations

  1. School of Engineering, Ozyegin University, Istanbul, Turkey

    Okan Örsan Özener & Hasan Sözer

  2. Peter T Paul College of Business and Economics, University of New Hampshire, Durham, NH, USA

    Melda Örmeci Matoğlu

  3. School of Management, University of Bath, Bath, BA2 7AY, UK

    Güneş Erdoğan

  4. Department of Mechanical and Industrial Engineering, College of Engineering, Qatar University, Doha, Qatar

    Mohamed Haouari

Authors
  1. Okan Örsan Özener
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  2. Melda Örmeci Matoğlu
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  3. Güneş Erdoğan
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  4. Mohamed Haouari
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  5. Hasan Sözer
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Corresponding author

Correspondence to Melda Örmeci Matoğlu.

Additional information

This project is funded in part by TUBITAK Grant 110M308.

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Özener, O.Ö., Örmeci Matoğlu, M., Erdoğan, G. et al. Solving a large-scale integrated fleet assignment and crew pairing problem. Ann Oper Res 253, 477–500 (2017). https://doi.org/10.1007/s10479-016-2319-9

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