TY - JOUR
T1 - AI and Blockchain Synergy in Aerospace Engineering
T2 - An Impact Survey on Operational Efficiency and Technological Challenges
AU - Abdulrahman, Yusra
AU - Arnautovic, Edin
AU - Parezanovic, Vladimir
AU - Svetinovic, Davor
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2023
Y1 - 2023
N2 - This paper presents an exhaustive investigation into the potential of integrating blockchain and Artificial Intelligence (AI) technologies within aerospace engineering, explicitly emphasizing supply chain management and operational efficiency. Given the decentralized nature of blockchain, it has the potential to enhance diverse facets of an aircraft's lifecycle management significantly. At the same time, AI stands to revolutionize predictive supply chain models and structural fault detection. This paper provides a comprehensive overview of the current state, potential applications, challenges, and future research directions in this field based on an analysis of previous relevant literature. Further, it compares blockchain technology against traditional record management systems, underlining its data storage, security, transparency, and traceability advantages. Although these technologies promise significant advancements, many legal, regulatory, and technological readiness issues need addressing for broader acceptance within the industry. The findings highlight the importance of targeted research and development to unfold an array of new applications, driving innovation in aerospace engineering. This paper serves as a comprehensive survey for researchers, practitioners, policymakers, and industry stakeholders, illustrating the transformative potential of AI and blockchain in the aerospace sector.
AB - This paper presents an exhaustive investigation into the potential of integrating blockchain and Artificial Intelligence (AI) technologies within aerospace engineering, explicitly emphasizing supply chain management and operational efficiency. Given the decentralized nature of blockchain, it has the potential to enhance diverse facets of an aircraft's lifecycle management significantly. At the same time, AI stands to revolutionize predictive supply chain models and structural fault detection. This paper provides a comprehensive overview of the current state, potential applications, challenges, and future research directions in this field based on an analysis of previous relevant literature. Further, it compares blockchain technology against traditional record management systems, underlining its data storage, security, transparency, and traceability advantages. Although these technologies promise significant advancements, many legal, regulatory, and technological readiness issues need addressing for broader acceptance within the industry. The findings highlight the importance of targeted research and development to unfold an array of new applications, driving innovation in aerospace engineering. This paper serves as a comprehensive survey for researchers, practitioners, policymakers, and industry stakeholders, illustrating the transformative potential of AI and blockchain in the aerospace sector.
KW - aerospace industry
KW - artificial intelligence (AI)
KW - Blockchain
KW - management
UR - http://www.scopus.com/inward/record.url?scp=85168268986&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2023.3305325
DO - 10.1109/ACCESS.2023.3305325
M3 - Review article
AN - SCOPUS:85168268986
SN - 2169-3536
VL - 11
SP - 87790
EP - 87804
JO - IEEE Access
JF - IEEE Access
ER -