Research in Blockchain-Based Manufacturing Supply Chain

This paper proposes an innovative approach for enhancing the efficiency and security of manufacturing supply chains by integrating the Internet of Things, blockchain technology, and genetic algorithm-based consensus mechanism. The IoT devices are employed to monitor and collect real-time data from various stages of the supply chain, ensuring transparency and traceability. The blockchain technology is utilized to store and secure the collected data, enabling immutable and decentralized data management. To achieve consensus in the Blockchain network, a GA-based consensus algorithm is introduced, which optimizes the routing and allocation of resources in the supply chain. The GA considers factors such as distance, capacity, and demand to minimize transportation costs and maximize resource utilization. Experimental results demonstrate that the proposed approach significantly improves the efficiency and reliability of the manufacturing supply chain, reducing operational costs and enhancing customer satisfaction. This research contributes to the development of intelligent and trustworthy supply chain systems by leveraging the synergies among IoT, blockchain, and GA-based consensus mechanisms.