Abstract

The article discusses supply chain optimization based on blockchain supply chain technology and genetic algorithm in the context of IoT to improve the availability of goods and the security of logistics information, improve supply chain efficiency and reduce transportation costs. First, the basic theories of supply chain technology, supply chain optimization and genetic algorithm are introduced, and supply chain optimization with collaborative logistics information management is analyzed. Then, a supply chain network optimization model based on genetic algorithm is established and the optimization results are analyzed. The optimization results show that applying blockchain technology to collaborative logistics information management system improves the overall efficiency of supply chain logistics; using genetic algorithm, the logistics distribution cost is reduced. The study is innovative in optimizing the collaborative logistics information management system in the logistics supply chain and the logistics distribution channel by using blockchain technology and genetic algorithm to improve the security and availability of logistics information. The case study shows that the optimization of supply chain logistics using blockchain technology and genetic algorithm improves efficiency, reduces costs, improves corporate governance and economic efficiency, and increases the competitiveness of the company.

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