TY  - JOUR
T1  - Sustainability Analysis of Dispatcher Flight Routing Using Hybrid Fuzzy Method
AU  - Kanmaz, Umit
Y2  - 2025
JF  - International Journal of Aviation Science and Technology
JO  - IJAST
PB  - Sürdürülebilir Havacılık Araştırma Derneği
WT  - DergiPark
SN  - 2687-525X
SP  - 5
EP  - 20
VL  - 07
IS  - 01
LA  - en
AB  - 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.
KW  - Dispatcher Routing
KW  - Aviation Sustainability
KW  - Fuzzy MCDM
KW  - FBWM-MARCOS
KW  - Expert Evaluation
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UR  - https://dergipark.org.tr/en/pub/ijast/issue//1739343
L1  - https://dergipark.org.tr/en/download/article-file/5042016
ER  -