Sustainability Analysis of Dispatcher Flight Routing Using Hybrid Fuzzy Method

Umit Kanmaz

Sustainability Analysis of Dispatcher Flight Routing Using Hybrid Fuzzy Method

Abstract

This study proposes a novel hybrid fuzzy multi-criteria decision-making (MCDM) framework, integrating the Fuzzy Best-Worst Method (FBWM) and Fuzzy MARCOS, to evaluate dispatcher routing strategies for sustainable aviation operations. Data were collected from 11 aviation experts in Türkiye, including dispatchers, pilots, fuel planning managers, and operations officers. The framework assessed routing alternatives across seven sustainability dimensions: fuel consumption, CO₂ emissions, flight safety, operational cost efficiency, flight time optimization, air traffic management compatibility, and passenger comfort. The analysis reveals that Collaborative Air Traffic Management (ATM)-Integrated Routing emerged as the most sustainable alternative, followed by Dynamic Weather-Adaptive Routing, while Standard Pre-Filed Routing ranked lowest. The integrated sensitivity analysis demonstrated the model’s robustness under variations in weighting parameters, confirming the stability of the rankings. This research fills a significant gap by systematically incorporating dispatcher-driven operational decisions into sustainability optimization models, providing actionable managerial insights for airlines, dispatch centers, and policymakers striving toward net-zero aviation goals.

Keywords

References

Alharasees, O., & Kale, U. (2024). Aviation Operators’ Total Loads Analysis by Multi-Criteria Decision-Making. Journal of Air Transport Management, 118, 102596.
Álvarez, P. C., & De Oliveira, Í. R. (2025, April). Advancing Operational Efficiency: Airspace Users' Perspective on Trajectory-Based Operations. In 2025 Integrated Communications, Navigation and Surveillance Conference (ICNS) (pp. 1-9). IEEE.
Aslan, M. E., & Tolga, A. C. (2022, July). Evaluation of Artificial Intelligence Applications in Aviation Maintenance, Repair and Overhaul Industry via MCDM Methods. In International Conference on Intelligent and Fuzzy Systems (pp. 822-830). Cham: Springer International Publishing.
Avogadro, N., & Redondi, R. (2024). Pathways toward sustainable aviation: analyzing emissions from air operations in Europe to support policy initiatives. Transportation Research Part A: Policy and Practice, 186, 104121.
Bertelli Fogaça, L., Henriqson, E., Carim Junior, G., & Lando, F. (2022). Airline disruption management: A naturalistic decision-making perspective in an operational control centre. Journal of Cognitive Engineering and Decision Making, 16(1), 3-28.
Calvet, L. (2024). Towards Environmentally Sustainable Aviation: A Review on Operational Optimization. Future Transportation, 4(2), 518-547.
Chai, N., & Zhou, W. (2022). A novel hybrid MCDM approach for selecting sustainable alternative aviation fuels in supply chain management. Fuel, 327, 125180.
EESI. (2025). U.S. and international commitments to tackle commercial aviation emissions. Environmental and Energy Study Institute (EESI). https://www.eesi.org

Ekici, S., Ayar, M., Orhan, I., & Karakoc, T. H. (2024). Cruise altitude patterns for minimizing fuel consumption and emission: A detailed analysis of five prominent aircraft. Energy, 295, 130989.,
European Commission. (2024). ReFuelEU Aviation Initiative. https://transport.ec.europa.eu
FAA. (2021). U.S. Aviation Climate Action Plan. Federal Aviation Administration. https://www.faa.gov
FAA. (2022). FAA implements more efficient descent procedures to reduce fuel burn, emissions. Federal Aviation Administration Newsroom. https://www.faa.gov
Frias, A. M., Shapiro, M. L., Engberg, Z., Zopp, R., Soler, M., & Stettler, M. E. J. (2024). Feasibility of contrail avoidance in a commercial flight planning system: an operational analysis. Environmental Research: Infrastructure and Sustainability, 4(1), 015013.
Goncharenko, V. I., Lebedev, G. N., Martynkevich, D. S., & Rumakina, A. V. (2021, June). Operational planning of aircraft routes when servicing a random stream of requests arriving during the flight. In Journal of Physics: Conference Series (Vol. 1958, No. 1, p. 012016). IOP Publishing.
GreenAir News. (2023). Alternative fuels provide the best hope to limit aviation’s global warming impact, says IPCC report. GreenAir News. https://www.greenairnews.com
GreenAir News. (2024). Airbus delays its ZEROe hydrogen aircraft as UK CAA expands hydrogen programme. GreenAir News. https://www.greenairnews.com
International Air Transport Association. (2021). Net Zero 2050: Progress tracking methodology [PDF]. Retrieved from https://www.iata.org/contentassets/b3783d24c5834634af59148c718472bb/net-zero-tracking-progress-methodology.pdf
IATA. (2025). Fly Net Zero. International Air Transport Association. https://www.iata.org
Jiang, C., D'Alfonso, T., & Post, J. (2024). Aviation decarbonization–Policies and technologies to support decarbonization of the aviation sector. Transportation Research Part D: Transport and Environment, 127, 104055.
Khalifa, R., Alherbawi, M., Bicer, Y., & Al-Ansari, T. (2024). Fueling circularity: A thorough review of circular practices in the aviation sector with sustainable fuel solutions. Resources, Conservation & Recycling Advances, 200223.
Lee, K. C., Tsai, W. H., Yang, C. H., & Lin, Y. Z. (2018). An MCDM approach for selecting green aviation fleet program management strategies under multi-resource limitations. Journal of Air Transport Management, 68, 76-85.
Markatos, D. N., Malefaki, S., & Pantelakis, S. G. (2023). Sensitivity analysis of a hybrid MCDM model for sustainability assessment—an example from the aviation industry. Aerospace, 10(4), 385.
McKinsey (2023). Decarbonizing aviation: Executing on net-zero goals. https://www.mckinsey.com
Montlaur, A., Delgado, L., & Prats, X. (2023). Domain-driven multiple-criteria decision-making for flight crew decision support tool. Journal of Air Transport Management, 112, 102463.
NASA. (2024). NASA issues award for greener, more fuel-efficient airliner of future. National Aeronautics and Space Administration (NASA). https://www.nasa.gov
Nechesa, R. O. (2023). Preventing of conflict situations in free route airspace on flight planning phase (Doctoral dissertation, National Aviation University).
Qasem, N. A., Mourad, A., Abderrahmane, A., Said, Z., Younis, O., Guedri, K., & Kolsi, L. (2024). A recent review of aviation fuels and sustainable aviation fuels. Journal of Thermal Analysis and Calorimetry, 149(10), 4287-4312.
Plano Clark, V. L. (2017). Mixed methods research. The Journal of Positive Psychology, 12(3), 305-306.
Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49–57. https://doi.org/10.1016/j.omega.2014.11.009
Rosenow, J., Lindner, M., & Scheiderer, J. (2021). Advanced flight planning and the benefit of in-flight aircraft trajectory optimization. Sustainability, 13(3), 1383.
Seker, S. (2025). Evaluation of agile attributes for low-cost carriers to achieve sustainable development using an integrated MCDM approach. Management Decision, 63(4), 1229-1261.
SESAR Joint Undertaking. (2024). New ATM Master Plan aims to save 400 million tons of CO₂ by 2050. SESAR JU. https://www.sesarju.eu
Song, Z., Li, Z., & Liu, Z. (2024). Comparison of Emission Properties of Sustainable Aviation Fuels and Conventional Aviation Fuels: A Review. Applied Sciences, 14(13), 5484.
Uzgör, M., Semercioglu, H., & Aydoğan, K. (2024). An Assessment of Factors Influencing Airline Disruption Management Decisions Through R-SWARA Method. Uluslararası Beşeri ve Sosyal Bilimler İnceleme Dergisi, 8(2), 108-117.
Valdés, R. M. A., & Comendador, V. F. G. (2025). Strategies and Economics for Decarbonizing Aviation by 2050. In Accelerating Sustainable Aviation Initiatives: Technology, Markets and Social Issues (pp. 227-265). Cham: Springer Nature Switzerland.
Zhang, H., Liu, F., Ma, L., & Zhang, Z. (2020). A hybrid heuristic based on a particle swarm algorithm to solve the capacitated location-routing problem with fuzzy demands. IEEE access, 8, 153671-153691.
Zou, R., Wang, B., Wang, K., Shang, W. L., Xue, D., & Ochieng, W. Y. (2025). A pathway to sustainable aviation: Modeling aircraft takeoff mass for precise fuel consumption and aircraft emission calculations. Energy, 319, 135074

Details

Primary Language

English

Subjects

Sustainable Operation Management

Journal Section

Research Article

Authors

Umit Kanmaz ^*
0000-0003-2186-2737
Türkiye

Early Pub Date

December 16, 2025

Publication Date

July 1, 2026

Submission Date

July 14, 2025

Acceptance Date

August 24, 2025

Published in Issue

Year 2026 Volume: 07 Number: 01

IZ

https://izlik.org/JA46ZD25ZT

Cite

RIS / Bibtex

APA

Kanmaz, U. (2026). Sustainability Analysis of Dispatcher Flight Routing Using Hybrid Fuzzy Method. International Journal of Aviation Science and Technology, 07(01), 5-20. https://izlik.org/JA46ZD25ZT

AMA

1.Kanmaz U. Sustainability Analysis of Dispatcher Flight Routing Using Hybrid Fuzzy Method. IJAST. 2026;07(01):5-20. https://izlik.org/JA46ZD25ZT

Chicago

Kanmaz, Umit. 2026. “Sustainability Analysis of Dispatcher Flight Routing Using Hybrid Fuzzy Method”. International Journal of Aviation Science and Technology 07 (01): 5-20. https://izlik.org/JA46ZD25ZT.

EndNote

Kanmaz U (July 1, 2026) Sustainability Analysis of Dispatcher Flight Routing Using Hybrid Fuzzy Method. International Journal of Aviation Science and Technology 07 01 5–20.

IEEE

[1]U. Kanmaz, “Sustainability Analysis of Dispatcher Flight Routing Using Hybrid Fuzzy Method”, IJAST, vol. 07, no. 01, pp. 5–20, July 2026, [Online]. Available: https://izlik.org/JA46ZD25ZT

ISNAD

Kanmaz, Umit. “Sustainability Analysis of Dispatcher Flight Routing Using Hybrid Fuzzy Method”. International Journal of Aviation Science and Technology 07/01 (July 1, 2026): 5-20. https://izlik.org/JA46ZD25ZT.

JAMA

1.Kanmaz U. Sustainability Analysis of Dispatcher Flight Routing Using Hybrid Fuzzy Method. IJAST. 2026;07:5–20.

MLA

Kanmaz, Umit. “Sustainability Analysis of Dispatcher Flight Routing Using Hybrid Fuzzy Method”. International Journal of Aviation Science and Technology, vol. 07, no. 01, July 2026, pp. 5-20, https://izlik.org/JA46ZD25ZT.

Vancouver

1.Umit Kanmaz. Sustainability Analysis of Dispatcher Flight Routing Using Hybrid Fuzzy Method. IJAST [Internet]. 2026 Jul. 1;07(01):5-20. Available from: https://izlik.org/JA46ZD25ZT