Towards Performance in Aeronautics: The Role of Artificial Intelligence
Keywords:
Artificial Intelligence, Use Cases, Aeronautics, Performance, BenefitsSynopsis
This is a Chapter in:
Book:
Competitive Tools, Techniques, and Methods
Print ISBN 978-1-6692-0008-6
Online ISBN 978-1-6692-0007-9
Series:
Chronicle of Computing
Chapter Abstract:
AI integration is growing interest in the aeronautics sector. Common AI technologies include autonomous intelligent systems, predictive analytics and machine learning. The benefits of AI integration include cost reduction, improved customer satisfaction, time savings, enhanced safety and security, better decision-making, problem-solving, and operational efficiency. By implementing new AI technologies aeronautics companies enhance their performance.
Cite this paper as:
Zaoui A., Kamsu-Foguem B., Fossa-Wamba S., Tchuente D. (2024). Towards Performance in Aeronautics: the Role of Artificial Intelligence. In: Tiako P.F. (ed) Competitive Tools, Techniques, and Methods. Chronicle of Computing. OkIP. CAIS24#17. https://doi.org/10.55432/978-1-6692-0007-9_15
Presented at:
The 2024 OkIP International Conference on Automated and Intelligent Systems (CAIS) in Oklahoma City, Oklahoma, USA, and Online on October 2, 2024
Contact:
Amina Zaoui
amina.zaoui17@gmail.com
References
Camas, H., Mula, J., Campuzano-Bolarín, F., & Poler, R. (2022). A conceptual framework for smart production planning and control in Industry 4.0. Computers & Industrial Engineering, 173, 108659. https://doi.org/10.1016/j.cie.2022.108659
Clainche, S. L., Ferrer, E., Gibson, S., Cross, E., Parente, A., & Vinuesa, R. (2023). Improving aircraft performance using machine learning: A review. Aerospace Science and Technology, 138, 108354. https://doi.org/10.1016/j.ast.2023.108354
Queiroz, M. M., Guthrie, C., & Braganza, A. (2022). Industry experiences of artificial intelligence (AI): Benefits and challenges in operations and supply chain management. Production Planning & Control, 33(16), 1493–1497. https://doi.org/10.1080/09537287.2021.1882695
Haenlein, M., & Kaplan, A. (2019). A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review, 61, 000812561986492. https://doi.org/10.1177/0008125619864925
Kamsu-Foguem, B., Clermont, P., Achuete, D., Tiako, P., & Fosso Wamba, S. (2023). Service Provider Risk Mitigation in Aeronautics Supply Chains. Global Journal of Flexible Systems Management, 24(4), 615–631. https://doi.org/10.1007/s40171-023-00354-z
McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (2006). A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence, August 31, 1955. AI Magazine, 27(4), 12. https://doi.org/10.1609/aimag.v27i4.1904
Russell, S. (2022). Artificial Intelligence: A Modern Approach. http://aima.cs.berkeley.edu/
Zaoui, A., Tchuente, D., Wamba, S. F., & Kamsu-Foguem, B. (2024). Impact of artificial intelligence on aeronautics: An industry-wide review. Journal of Engineering and Technology Management, 71, 101800. https://doi.org/10.1016/j.jengtecman.2024.101800
