The aerospace industry is uniquely positioned as a sustainable innovation that must address economic performance and environmental issues. The choice of lighter and more effective materials by the aircraft designers poses sustainability problems since tantalum, niobium, and cobalt important factors in aircraft manufacturing, are scarce. CFRPs and rare metals are challenging to recycle because of their composition and the fragmented recycling system. Transportation Logistic supply chain management needs to integrate circular economy models of resource reuse and recycling functions in åACDC to navigate the challenges they face. They need Apache Spark processing and Kafka streaming to achieve these efficiencies and address real-time event streaming at the aerospace recycling centers. Material recovery efficiency rates are one of the crucial functions that Artificial Intelligence helps to navigate; This system adds the benefits of regulatory compliance on addressing the functionality of operations. Specifically, the aerospace industry must adopt a new microservice-based system from the existing monolithic versions to address rising sustainability goals. AI application of circular economy in aerospace enables new designs of recycling that minimize resource consumption to address current laws that regulate the environment in the industry. Therefore, the aerospace industry requires significant investment in digital circularity and workforce to reap sustainability performance outcomes from data-oriented approaches to sustainability, and gain a competitive advantage through environmental stewardship.

Circular Economy, Aerospace Recycling, Apache Spark, Apache Kafka, Artificial Intelligence, Composites Recycling, Rare Metals Recovery, Sustainability

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