BLOCKCHAIN AND AI FOR ENGINEERING SUPPLY CHAIN OPTIMIZATION AND TRANSPARENCY

Abstract

In the rapidly evolving field of supply chain management, the integration of advanced technologies such as Blockchain and Artificial Intelligence (AI) holds the potential to revolutionize operations by enhancing both optimization and transparency. This review research paper examines the synergistic application of Blockchain and AI within engineering supply chains, analyzing their combined impact on improving efficiency, reducing costs, and ensuring data integrity. Blockchain technology provides a decentralized, immutable ledger that ensures transparency and traceability of transactions, mitigating risks associated with fraud and errors. Concurrently, AI-driven analytics facilitate predictive maintenance, demand forecasting, and decision-making processes, leading to streamlined operations and optimized resource allocation. The paper also explores the challenges and limitations of implementing these technologies, including scalability, interoperability, and data privacy concerns. By reviewing current literature and case studies, this paper aims to provide a comprehensive understanding of how Blockchain and AI can jointly address the complexities of modern engineering supply chains, proposing strategies for effective integration and future research directions.