Research on Supply Chain Data Security Optimization and Its Economic Benefits Based on Blockchain

Abstract

This paper proposes a supply chain data security optimization system based on blockchain, which uses data deduplication and verification algorithms to solve the redundancy and consistency problems in multi-party data interaction. The system ensures real-time sharing of data in all links of the supply chain through the distributed ledger technology of blockchain, and improves the security and reliability of data transmission. To verify the performance of the system, this paper constructs an algorithm model and performs data analysis in a simulation environment. The results show that the system has significant effects in reducing data redundancy and improving data accuracy. In terms of economic benefits, simulation data show that by reducing data errors and information delays, the system can significantly reduce supply chain operating costs and improve resource utilization. The research results show that the designed blockchain optimization scheme not only enhances the data security of the supply chain, but also brings substantial economic benefits to enterprises. This study provides new technical ideas for supply chain management based on blockchain and has good application prospects.