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Paper ID:IJSREM62079

Impact of FDTL norms in Airline Fleet Scheduling and Crew Rostering: A case study on indiGo's 2025 incident

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62079

Volume:

10 |

4 |

April 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM62079

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

DSR

Dr. S Ramasubramanian

Aviation Management

Vels Institute of Science, Technology and Advanced Studies

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HS

Harish S.

Aviation Management

Vels Institute of Science, Technology and Advanced Studies

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DK

Dr. Kalyani

Aviation Management

Vels Institute of Science, Technology and Advanced Studies

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AS

Ahamed Suvaileen

Aviation Management

Vels Institute of Science, Technology and Advanced Studies

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RJ

Reenalie Josephine

Aviation Management

Vels Institute of Science, Technology and Advanced Studies

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SP

Sahana Padmanabhan

Aviation Management

Vels Institute of Science, Technology and Advanced Studies

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Abstract

The 2025 revisions to India’s Flight Duty Time Limitation (FDTL) norms—enacted by the Directorate General of Civil Aviation (DGCA) and aligned with ICAO standards—imposed a structural shock on lean airline operations. Key provisions capped night Flight Duty Periods (FDPs) at 10 hours, extended weekly rest to 48 hours at the home base, reduced consecutive night landings from six to two, and mandated quarterly Fatigue Risk Management System (FRMS) reporting. IndiGo, operating 1,862 daily flights with near-zero crew buffers, was acutely exposed: Phase 2 enforcement triggered over 2,000 cancellations in December 2025, a collapse in on-time performance from 90.2% to 8.5%, and losses exceeding ₹5 billion. This paper analyses the cascading failure through the lenses of crew scheduling optimisation, comparative regulatory frameworks (DGCA, FAA, EASA), pilot mental health and fatigue science, and evidence-based scenario modelling. Resilient FDTL compliance requires a triad of investments: AI-enabled crew management, robust reserve pools, and a just safety culture that normalises fatigue reporting.

KEYWORDS

Keywords—FDTL; crew rostering; pilot fatigue; IndiGo 2025; FRMS; flight scheduling; aviation safety; DGCA

Cite This Article

Dr. S Ramasubramanian, Harish S., Dr. Kalyani, Ahamed Suvaileen, Reenalie Josephine, Sahana Padmanabhan, "Impact of FDTL norms in Airline Fleet Scheduling and Crew Rostering: A case study on indiGo's 2025 incident," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, pp. 1-6, April 2026. https://doi.org/10.55041/IJSREM62079

Full Article/Conclusion

This study demonstrates that FDTL norms—when scientifically grounded and rigorously enforced—are essential for pilot safety and long-term aviation sustainability. The IndiGo 2025 crisis reveals that prescriptive limits without structural preparation generate crises that undermine the very objectives they pursue. A carrier operating at zero reserve buffer, with a CMS requiring 60 days to adapt to revised rules, and no confidential fatigue-reporting channel, is not FDTL-compliant in substance even if nominally within legal limits. Effective implementation requires three mutually reinforcing components. First, regulatory design must combine clear prescriptive hard caps with FRMS-backed flexibility pathways for data-validated alternatives. Second, operational investment in AI-enabled crew management, robust reserve pools (minimum 15%), and pilot training pipelines calibrated to fleet growth is non-negotiable. Third, safety culture must actively counteract fatigue-reporting stigma through just-culture principles and transparent roster feedback. Future research priorities include longitudinal FDTL outcome tracking across Indian carriers, development of India-specific biomathematical fatigue models, econometric analysis of compliance costs in emerging-market LCC contexts, and exploration of real-time wearable fatigue-monitoring technology as a frontier for continuous objective crew-fitness management.

References

1] ICAO, Manual for the Oversight of Fatigue Management Approaches (Doc 9966, 2nd ed.), International Civil Aviation Organization, Montreal, 2016. [2] C. Barnhart, A. M. Cohn, E. L. Johnson, D. Klabjan, G. L. Nemhauser, and P. H. Vance, “Flight crew scheduling,” in Operations Research in the Airline Industry, G. Yu, Ed. Kluwer, 1998, pp. 384–413. [3] X. Wen, S. Sun, Y. Zhang, and Y. Liu, “Robust airline crew scheduling,” Transportation Research Part E, vol. 136, p. 101899, 2020. [4] M. Efthymiou, A. Psychogios, and J. Vaz, “Flight crew evaluation of FTL regulation,” Journal of Air Transport Management, vol. 92, p. 102038, 2021. [5] EASA, Effectiveness of Flight Time Limitation (FTL 2.0) Study, European Union Aviation Safety Agency, 2023. [6] A. M. Williamson and A. M. Feyer, “Sleep deprivation and performance impairment,” Occupational and Environmental Medicine, vol. 57, no. 10, pp. 649–655, 2000. [7] Environmental Health (2016), cited in A. M. Williamson and A. M. Feyer, adapted fatigue data, Occupational and Environmental Medicine, 2000. [8] ERAM Scholarly Commons, “Airline pilot perception of stress and self-reported fatigue,” Embry-Riddle Aeronautical University, 2022. [9] DGCA India, Civil Aviation Requirements (CAR) Section 7 — Flight Duty Time Limitations, New Delhi, 2024. [10] FAA, 14 CFR Part 117 — Flight and Duty Limitations and Rest Requirements: Flightcrew Members, 2012. [11] B. Xu, Z. Tan, and Y. Ling, “Airline scheduling optimization,” IEEE Trans. Intelligent Transportation Systems, vol. 25, no. 4, pp. 3120–3135, 2024. [12] D. Dawson and K. Reid, “Fatigue, alcohol and performance impairment,” Nature, vol. 388, no. 6639, p. 235, 1997. [13] Y. Harrison and J. A. Horne, “Impact of sleep deprivation on decision making,” Journal of Sleep Research, vol. 9, no. 1, pp. 45–54, 2000.

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Publication Date

4/30/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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