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Paper ID:IJSREM68216

Airline Scheduling and Optimisation

Stream/Area:

-

Subject:

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Paper ID:

IJSREM68216

Volume:

10 |

10 |

Oct 2026

Pages:

1-24

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AG

Arush Garg

Department of Business Management

NMIMS Deemed-to-be-University

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AC

Aritra Chakraborty

Department of Business Management

NMIMS Deemed-to-be-University

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DRKS

Dr Richa Kaplesh Saxena

Department of Business Management

NMIMS Deemed-to-be-University

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AP

Anvi Paliwal

Department of Business Management

NMIMS Deemed-to-be-University

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AA

Arnav Aggarwal

Department of Business Management

NMIMS Deemed-to-be-University

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AC

Aryan Chauhan

Department of Business Management

NMIMS Deemed-to-be-University

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Abstract

This study presents a systematic literature review-cum-bibliometric analysis of research on airline scheduling and optimisation. Following the PRISMA framework, 2,828 records retrieved from Elsevier’s Scopus database were refined by time span, subject area, document type, language and source type to a final dataset of 1,045 journal articles and review papers published between 2011 and 2026. The data were analysed using RStudio and Biblioshiny, and a VOSviewer cluster analysis of a separate RIS database supported a thematic literature review. Annual publications rose from 26 in 2011 to 113 in 2026, with China and the United States contributing the largest share of country records. Revenue management, fleet assignment, aircraft routing and integer programming emerged as motor themes, whereas machine learning and deep learning appeared less connected to the core of the field. The thematic review identified three interconnected clusters and a gap in coordination among airlines, airports and air traffic management under uncertainty. A future research agenda is proposed using the 5Ws1H and Input–Process–Output frameworks.

KEYWORDS

Airline Scheduling; Optimisation; Bibliometric Analysis; Air Transportation; Systematic Literature Review.

Cite This Article

Arush Garg, Aritra Chakraborty, Dr Richa Kaplesh Saxena, Anvi Paliwal, Arnav Aggarwal, Aryan Chauhan, "Airline Scheduling and Optimisation," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-24, Oct 2026.

Full Article/Conclusion

This study set out to examine how research on airline scheduling and optimisation has developed, using a bibliometric review supported by a thematic literature review. Specifically, it aimed to determine how publication output has changed over time, which countries, authors and sources contribute most to the field, which research themes are dominant, niche or emerging, and what gaps and future directions the literature suggests. Following the PRISMA framework (Moher et al., 2010), an initial 2,828 Scopus records were refined by time span, subject area, document type, language and source type to a final dataset of 1,045 journal articles and review papers. These were analysed using RStudio and Biblioshiny and complemented by a VOSviewer cluster analysis of a separate RIS database. The analysis has identified a clear and sustained expansion of research activity. Annual publications rose from 26 articles in 2011 to 113 in 2026, an increase of about 335%, with the highest value of 122 articles recorded in 2025. Average annual output increased from 35.6 articles in 2011–2015 to 58 in 2016–2020 and 95.5 in 2021–2026. This growth was not entirely steady, since declines occurred in several years, including 2015, 2018, 2022, 2024 and 2026. Nevertheless, the overall pattern shows that airline scheduling has become an established and expanding area of scholarly enquiry. The research has also shown that production is geographically concentrated. The country-level data contains 2,147 records across 68 countries, of which China accounts for 639 (about 29.8%) and the United States for 344. Together, these two countries represent about 45.8% of the records, and the top five countries account for approximately 59.9%. The three-field analysis links prominent authors such as Wang Y, Sun X, Chung SH and Zhang Y to keywords including air transportation, optimisation, air traffic control and integer programming. Source production further indicates that the field is spread across aviation-specific and broader operations research outlets. The Journal of Air Transport Management reached approximately 80 cumulative occurrences by 2026, followed by the Journal of Revenue and Pricing Management (about 55), Transportation Science (about 37), and the European Journal of Operational Research and Transportation Research Part E (about 30 each).

References

1.       Abdelghany, A. and Abdelghany, K. (2026) ‘Addressing the systemic complexity of airline irregular operations: Toward integrated schedule recovery’, Journal of Air Transport Management. Available at: https://doi.org/10.1016/j.jairtraman.2025.102925. 2.       Assink, J. (2026) ‘Integrated shift and break scheduling for airline ground staff under flight delay uncertainty’, European Journal of Operational Research. Available at: https://doi.org/10.1016/j.ejor.2026.07.008. 3.       Bao, D., Chu, J. and Li, Y. (2026) ‘A slot allocation optimization method for regional multi-airport integrating airport fairness and airline fairness’, Transportation Research Part E: Logistics and Transportation Review. Available at: https://doi.org/10.1016/j.tre.2026.104886. 4.       Borndörfer, R., Do, V.H. and Hoang, N.D. (2026) ‘An efficient algorithm for vertical free-flight optimization in air transportation’, European Journal of Operational Research. Available at: https://doi.org/10.1016/j.ejor.2026.02.003. 5.       Chen, L. (2026) ‘Optimising aircraft routing and fleet assignment with flight unit loops: A novel decision unit approach for reducing model complexity’, Journal of the Operational Research Society. Available at: https://doi.org/10.1080/01605682.2025.2612142. 6.       Dahanayaka, M. (2026) ‘From gate to runway: A systematic review of airport ground operations optimization’, Journal of Air Transport Management. Available at: https://doi.org/10.1016/j.jairtraman.2026.103013. 7.       Demir, H.I. and Dervis, S. (2026) ‘Enhancing flight connectivity via synchronization of arrivals and departures in hub airports with evolutionary and swarm-based metaheuristics’, Biomimetics, 11(1). Available at: https://doi.org/10.3390/biomimetics11010006. 8.       Demouge, C., Guitart, A. and Delahaye, D. (2026) ‘Balancing fuel efficiency and environmental impact: 4D trajectory optimization through Fast Marching Tree for transatlantic flights considering contrails’, Journal of Air Transport Management. Available at: https://doi.org/10.1016/j.jairtraman.2026.103032. 9.       Devi, V. (2026) ‘A hybrid jumping particle swarm optimization with local search for airline crew pairing: Theoretical and empirical insights’, National Academy Science Letters. Available at: https://doi.org/10.1007/s40009-026-02103-z. 10.    Ding, K. (2026) ‘Sustainable optimization in air transport: Hybrid particle swarm and Tabu Search algorithm for the multi-objective airport gate assignment problem’, Sustainability, 18(7). Available at: https://doi.org/10.3390/su18073331.

Editorial & Review Transparency

Publication Date

10/22/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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