Intelligent Industrial Ecosystems: A Performance-Driven Framework for AI-Blockchain Integration in Industry 4.0 Smart Manufacturing and Supply Chain Optimization
Keywords:
Industry 4.0, AI-Powered Blockchain, Smart Manufacturing, Supply Chain Optimization, Predictive Maintenance, Smart Contracts, Industrial IoT, Decentralized Automation, Energy OptimizationAbstract
The convergence of Artificial Intelligence (AI) and Blockchain Technology (BCT) within Industry 4.0 is redefining the operational paradigms of smart manufacturing, supply chain management, predictive maintenance, quality assurance, and decentralized energy trading. While both technologies individually offer transformative capabilities, their integration creates a synergistic industrial intelligence platform that is simultaneously adaptive, transparent, and tamper-resistant [1,3]. This paper presents a performance-driven AI-Blockchain Industry 4.0 (AI-BC I4.0) framework organized as a six-layer architecture spanning Industrial IoT data acquisition, AI analytics, smart contract automation, blockchain consensus, domain-specific applications, and governance compliance. Comprehensive experimental evaluation across four industrial deployment domains demonstrates supply chain traceability improvements of 56.0% over traditional systems, predictive maintenance accuracy of 94.7%, manufacturing defect rate reduction from 22.4% to 3.8%, and energy optimization score improvement of 60.4%. Transaction throughput in the proposed architecture sustains 620 TPS at 1,000 nodes, compared to 120 TPS for conventional systems. Operational downtime is reduced by an average of 78.2% across all tested deployment domains [1,6,7]. These results quantitatively establish the AI-BC I4.0 framework as a viable and high-performance foundation for next-generation industrial ecosystems.
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