Design and Implementation of a Blockchain-based Traceability System for Green Transformation in Optoelectronic Enterprises

Abstract

By integrating blockchain technology with data-driven intelligent decision-making, the framework ensures trustworthy supply chain data management and procurement optimization. A multi-channel consortium blockchain architecture enables secure data sharing among suppliers, manufacturers, distributors, and end-users. Smart contracts automate transaction verification and recording, ensuring data authenticity, immutability, and full lifecycle traceability This paper proposes a blockchain-based traceability framework to support the green transformation of optoelectronic enterprises through secure, transparent, and intelligent supply network operations. An on-chain/off-chain collaborative storage mechanism reduces storage overhead while preserving data integrity. Furthermore, a reinforcement learning-based procurement decision model combines historical production data and market intelligence to optimize raw material purchasing strategies, inventory management, and cost control. Experimental results show that traceability query time is reduced to approximately 95 ms, improving efficiency by over 60% compared with traditional approaches. The system achieves a tamper detection rate above 99%, reduces inventory holding costs by about 20%, and lowers total procurement costs by approximately 10%, demonstrating significant benefits for sustainable supply chain management.