Yükleme Uzmanı Kararlarının Değerlendirilmesi Yoluyla Hava Kargo Operasyonlarında Sürdürülebilirliğin Optimizasyonu: Bulanık AHP ve DEMATEL Yaklaşımı

Yıl 2025, Cilt: 8 Sayı: 2, 23 - 54, 25.10.2025

Umit Kanmaz

https://doi.org/10.51513/jitsa.1728669

Öz

Bu çalışma, hava kargo operasyonlarında yükleme uzmanlarının kararlarıyla etkilenen sürdürülebilirlik odaklı faktörleri değerlendirmeyi ve önceliklendirmeyi amaçlamakta, özellikle operasyonel performansın ve çevresel sonuçların optimize edilmesine odaklanmaktadır. Hibrit bulanık çok kriterli karar verme (MCDM) yaklaşımı kullanılarak, araştırmada Bulanık Analitik Hiyerarşi Süreci (Fuzzy AHP) ve Bulanık DEMATEL yöntemleri entegre edilerek, yakıt tüketimi optimizasyonu, emisyon azaltımı, yük faktörü maksimizasyonu ve eğitimde çevresel farkındalık gibi yedi temel kriterin göreli önemi ve karşılıklı etkileşimleri analiz edilmiştir. Veriler, yükleme uzmanları, kargo yöneticileri ve sürdürülebilirlik uzmanlarından oluşan dokuz sektör uzmanı ile yapılan yapılandırılmış ikili karşılaştırmalar ve etki derecelendirmeleri yoluyla toplanmıştır. Fuzzy AHP sonuçları, yakıt tüketimi optimizasyonunu (ağırlık: 0.3728) ve emisyon azaltım potansiyelini (ağırlık: 0.3126) en kritik faktörler olarak belirlemiştir. DEMATEL analizinde ise bu kriterlerin aynı zamanda diğer sürdürülebilirlik boyutlarını etkileyen temel nedensel etkenler olduğu ortaya konmuştur. Buna karşılık, dijital planlama ve eğitim farkındalığı gibi kriterler daha tepkisel (etkilenen) olarak sınıflandırılmış ve sonuç grubu içerisinde yer almıştır. Bu çalışmanın özgünlüğü, yük planlamasını stratejik bir sürdürülebilirlik aracı olarak ele alması ve öncelik ile etki boyutlarını eş zamanlı değerlendiren entegre bulanık yöntem uygulamasıyla hem kuramsal katkı hem de uygulamaya dönük içgörüler sunmasıdır.

Anahtar Kelimeler

Sürdürülebilir Hava Kargo Operasyonları , Yükleme Uzmanı Kararları , Bulanık AHP , Bulanık DEMATEL , Operasyonel Sürdürülebilirlik , Havacılık Yönetimi

Optimizing Sustainability in Air Cargo Operations Through the Evaluation of Loadmaster Decisions: A Fuzzy AHP and DEMATEL Approach

Öz

This study aims to evaluate and prioritize sustainability-related factors influenced by loadmaster decisions in air cargo operations, with a particular focus on optimizing operational performance and environmental outcomes. Using a hybrid fuzzy multi-criteria decision-making (MCDM) approach, the research integrates Fuzzy Analytic Hierarchy Process (Fuzzy AHP) and Fuzzy DEMATEL to assess the relative importance and interdependencies among seven key criteria, including fuel consumption optimization, emission reduction, load factor maximization, and environmental awareness in training. Data were collected through structured pairwise comparisons and influence ratings from nine industry experts, including loadmasters, cargo managers, and sustainability specialists. The Fuzzy AHP results identified fuel consumption optimization (weight: 0.3728) and emission reduction potential (weight: 0.3126) as the most critical factors, while the DEMATEL analysis revealed that these criteria also function as core causal drivers influencing other sustainability dimensions. In contrast, factors such as digital planning and training awareness were identified as more reactive, falling into the effect group. The novelty of this study lies in its operational focus on load planning as a strategic sustainability lever, and its application of an integrated fuzzy methodology to provide a dual perspective of priority and influence, offering both theoretical advancement and actionable insights for enhancing sustainable air cargo practices.

Anahtar Kelimeler

Sustainable Air Cargo Operations , Loadmaster Decision-Making , Fuzzy AHP , Fuzzy DEMATEL , Operational Sustainability , Aviation Management

Etik Beyan

Çalışmam için gerekli etik belgesi alınmıştır.

Destekleyen Kurum

Destekleyen bir kurum bulunmamaktadır.

Kaynakça

• Agbas, E., & Kusakci, A. O. (2021). A simulation approach for aircraft cargo loading considering weight and balance constraints. International Journal of Business Ecosystem & Strategy (2687-2293), 3(1), 21-31.
• Aircargo Update – Fueling the Future: Investing in a Greener Air Cargo Industry (2024) – Includes cargo airlines’ sustainability strategies like optimizing load planning. Retrieved from: https://aircargoupdate.com/fueling-the-future-investing-in-a-greener-air-cargo-industry/
• AviationFile – Who is a Loadmaster? The Unsung Hero of Air Travel (2023) – Overview of loadmaster duties in civilian aviation, Retrieved from: aviationfile.com.
• Bartle, J. R., Lutte, R. K., & Leuenberger, D. Z. (2021). Sustainability and air freight transportation: Lessons from the global pandemic. Sustainability, 13(7), 3738.
• Bask, A., & Rajahonka, M. (2017). The role of environmental sustainability in the freight transport mode choice: A systematic literature review with focus on the EU. International Journal of Physical Distribution & Logistics Management, 47(7), 560-602.
• Baxter, G. (2021). Decarbonizing international air cargo transportation's carbon footprint: A review of the world air cargo carrying airlines' current and potential environment-related measures and strategies. International Journal of Environment Agriculture and Biotechnology, 6(6), 265-290.
• Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy sets and systems, 17(3), 233-247.
• Büyüközkan, G., Feyzioğlu, O., & Havle, C. A. (2020). Analysis of success factors in aviation 4.0 using integrated intuitionistic fuzzy MCDM methods. In Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making: Proceedings of the INFUS 2019 Conference, Istanbul, Turkey, July 23-25, 2019 (pp. 598-606). Springer International Publishing.
• Büyüközkan, G., Havle, C. A., & Feyzioğlu, O. (2020). A new digital service quality model and its strategic analysis in aviation industry using interval-valued intuitionistic fuzzy AHP. Journal of Air Transport Management, 86, 101817.
• Brandt, F., & Nickel, S. (2019). The air cargo load planning problem-a consolidated problem definition and literature review on related problems. European Journal of Operational Research, 275(2), 399-410.
• Carlson, N. J., Reiman, A. D., Overstreet, R. E., & Douglas, M. A. (2018). Load planning processes to enhance cargo compartment utilization. Journal of Defense Analytics and Logistics, 1(2), 137-150.
• Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European journal of operational research, 95(3), 649-655.
• Chatti, W. (2021). Moving towards environmental sustainability: information and communication technology (ICT), freight transport, and CO2 emissions. Heliyon, 7(10).
• Desai, J., Srivathsan, S., Lai, W. Y., Li, L., & Yu, C. (2023). An optimization-based decision support tool for air cargo loading. Computers & Industrial Engineering, 175, 108816.
• DHL Logistics of Things – Cargo Load Factor (CLF) (2023) – Defines load factor and its impact on cost and emissions Retrieved from: lot.dhl.com.
• Düzgün, M. (2021). Investigation of the criteria affecting the decision of use of drone technology in the logistics sector by DEMATEL method. Journal of Aviation, 5(2), 249-264.
• Fu, Y. K., Wu, C. J., & Liao, C. N. (2021). Selection of In‐Flight Duty‐Free Product Suppliers Using a Combination Fuzzy AHP, Fuzzy ARAS, and MSGP Methods. Mathematical Problems in Engineering, 2021(1), 8545379.
• Gabus, A., & Fontela, E. J. B. G. R. C. (1972). World problems, an invitation to further thought within the framework of DEMATEL. Battelle Geneva Research Center, Geneva, Switzerland, 1(8), 12-14.
• Huang, D., & Han, M. (2021). Research on evaluation method of freight transportation environmental sustainability. Sustainability, 13(5), 2913.
• IATA – Cargo Handling & Operations Manuals (2020–2025) – Various updated guidelines on load procedures and safety, Retrieved from: labeline.com.
• IATA Press Release – Supply Chain Issues Continue to Impact Airline Performance (Dec 2024) – Highlights industry fuel efficiency metrics and net-zero commitment.
• IFS (Intelligent Flight Solutions) – Role of a Loadmaster: Balancing the Scales of Air Freight (2022) – Industry blog detailing loadmaster responsibilities and weight/balance importance Retrieved from: ifs.aero.
• Janic, M. (2017). The sustainability of air transportation: a quantitative analysis and assessment. Routledge.
• Javanmard, M. E., Tang, Y., & Martínez-Hernández, J. A. (2024). Forecasting air transportation demand and its impacts on energy consumption and emission. Applied Energy, 364, 123031.
• Kechagias, E. P., Gayialis, S. P., Konstantakopoulos, G. D., & Papadopoulos, G. A. (2020). An application of an urban freight transportation system for reduced environmental emissions. Systems, 8(4), 49.
• Kılıc, B., & Gundogdu, S. (2020). Human factors in air cargo operations: An analysis using HFACS. Journal of Aviation Research, 2(2), 101-114.
• Kütahya, C. K. & Kanmaz, U. (2025). Prioritizing Risk Mitigation Strategies in Air Cargo Freight Operations: A Fuzzy TOPSIS Approach. Journal of Aviation, 9(1), 181-195.
• Lange, A. (2019). Does cargo matter? The impact of air cargo operations on departure on-time performance for combination carriers. Transportation Research Part A: Policy and Practice, 119, 214-223.
• 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.
• Macit, A. (2024). Sustainability and Operational Efficiency in Air Cargo: Insights from Turkish Cargo's Management Practices. Sosyal Mucit Academic Review, 5(Innovative Conceptual Approaches to Social Sciences), 81-105.
• Markatos, D. N., & Pantelakis, S. G. (2023). Implementation of a holistic MCDM-based approach to assess and compare aircraft, under the prism of sustainable aviation. Aerospace, 10(3), 240.
• Mizrak, F., & Akkartal, G. R. (2024). Prioritizing cybersecurity initiatives in aviation: A dematel-QSFS methodology. Heliyon, 10(16).
• NASA/Air Cargo Study – Cost Effective Measures to Reduce CO2 Emissions in Air Freight (Transport Chain Analysis, 2021) – Quantifies fuel vs. payload trade-offs Retrieved from: ntrs.nasa.gov.
• Nath, P., & Upadhyay, R. K. (2024). Reformation and optimization of cargo handling operation at Indian air cargo terminals. Journal of the Air Transport Research Society, 2, 100022.
• Petrović, I., & Kankaraš, M. (2018). DEMATEL-AHP multi-criteria decision making model for the selection and evaluation of criteria for selecting an aircraft for the protection of air traffic. Decision Making: Applications in Management and Engineering, 1(2), 93-110.
• Ryczyński, J., Kierzkowski, A., & Jodejko-Pietruczuk, A. (2024). Air Cargo Handling System Assessment Model: A Hybrid Approach Based on Reliability Theory and Fuzzy Logic. Sustainability, 16(23), 10469.
• Saaty, T. L. (2013). Analytic hierarchy process. In Encyclopedia of operations research and management science (pp. 52-64). Springer, Boston, MA.
• Shariff, S. S. R., Mohamad, N. A., & Sazali, M. F. (2023, June). Measuring the Sustainability of Air Freight System using integrated Sustainable Urban Transport Index (iSUTI). In 2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) (pp. 91-96). IEEE.
• Sharma, A., & Sharma, S. K. (2022). Analyzing the role of multiagent technology in preventing airplane crash using AHP and DEMATEL approach. International journal of crashworthiness, 27(6), 1753-1769.
• Tan, Q., Li, Y., Wu, H., Zhou, P., Lo, H. K., Zhong, S., & Zhang, X. (2024). Enhancing sustainable urban air transportation: Low-noise UAS flight planning using noise assessment simulator. Aerospace Science and Technology, 147, 109071.
• Tzeng, G. H., & Huang, J. J. (2011). Multiple attribute decision making: methods and applications. CRC press.
• Wong, E. Y., Mo, D. Y., & So, S. (2021). Closed-loop digital twin system for air cargo load planning operations. International Journal of Computer Integrated Manufacturing, 34(7-8), 801-813.
• Zhao, X., Dong, Y., & Zuo, L. (2023). A combinatorial optimization approach for air cargo palletization and aircraft loading. Mathematics, 11(13), 2798.
• Zimmermann, H. J. (2011). Fuzzy set theory—and its applications. Springer Science & Business Media.