AI IN AVIATION AND LOGISTICS: OPERATIONAL TRANSFORMATION FOR GLOBAL CONNECTIVITY
DOI:
https://doi.org/10.37547/Keywords:
artificial intelligence, aviation, logistics, global connectivity, supply chain, transportation system, optimization, digital transformation, security, big data.Abstract
The application of artificial intelligence (AI) technologies in modern aviation and logistics is fundamentally changing operational processes on a global scale. With the help of AI, opportunities are being created to optimize flight schedules, increase safety and accuracy in the cargo transportation system, manage the supply chain in real time, and reduce costs. In aviation, AI plays an important role in ensuring flight safety, predicting maintenance, and effectively determining aircraft routes. In the logistics sector, artificial intelligence manages cargo flows by analyzing big data, ensuring fast delivery to customers, and accelerating digital transformation. As a result, global connectivity is becoming more efficient and integration between international transport systems is being strengthened. This study highlights the application of AI technologies in aviation and logistics, their advantages, and their contribution to the global transport system.
Downloads
References
1. Ivanov, D., Dolgui, A., & Sokolov, B. The Impact of Digital Technology and Industry 4.0 on the Ripple Effect and Supply Chain Risk Analytics. International Journal of Production Research, 57(3), 2021. 829–846.
2. Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions. Future Generation Computer Systems, 2020. 29(7), 1645–1660.
3. He, W., & Xu, L. D. Integration of Distributed Enterprise Applications: A Survey. IEEE Transactions on Industrial Informatics, 11(3), 2022. 811–816.
4. Chopra, S., & Meindl, P. (2019). Supply Chain Management: Strategy, Planning, and Operation (7th ed.). Pearson Education.
5. Yao, X., Zhou, J., Lin, Y., Li, Y., Yu, H., & Liu, Y. Smart Manufacturing Based on Cyber-Physical Systems and Cloud Manufacturing. Journal of Intelligent Manufacturing, 30(7), 2021. 2373–2387.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Articles published in this journal are licensed under the Creative Commons Attribution 4.0 International License (CC-BY 4.0). Under this license:
- Share: Copy and redistribute the material in any medium or format
- Adapt: Remix, transform, and build upon the material for any purpose, including commercially
Attribution required: You must give appropriate credit, provide a link to the license, and indicate if changes were made.
License URL: https://creativecommons.org/licenses/by/4.0/
Authors retain copyright of their work while granting the journal first publication rights.