Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

Research Article

Based on Blockchain Technology and Genetic Algorithms Logistics and Supply Chain Optimization

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  • @INPROCEEDINGS{10.4108/eai.27-10-2023.2342022,
        author={Rongze  Gao and Tianqi  Liu},
        title={Based on Blockchain Technology and Genetic Algorithms Logistics and Supply Chain Optimization},
        proceedings={Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27--29, 2023, Tianjin, China},
        publisher={EAI},
        proceedings_a={ICEMBDA},
        year={2024},
        month={1},
        keywords={internet of things blockchain genetic algorithm logistics supply chain coordination management},
        doi={10.4108/eai.27-10-2023.2342022}
    }
    
  • Rongze Gao
    Tianqi Liu
    Year: 2024
    Based on Blockchain Technology and Genetic Algorithms Logistics and Supply Chain Optimization
    ICEMBDA
    EAI
    DOI: 10.4108/eai.27-10-2023.2342022
Rongze Gao1,*, Tianqi Liu1
  • 1: Tianjin University of Technology
*Contact email: voooo921@163.com

Abstract

In order to enhance the accessibility of goods and logistics information security, improve the efficiency of supply chain, and reduce transportation costs, the optimization of logistics supply chain based on blockchain technology and genetic algorithm under the background of the Internet of Things is studied. First of all, the basic technology of blockchain, supply chain optimization and genetic algorithm are introduced, and the optimization of logistics information collaborative management is analyzed. Then, the logistics supply chain network optimization model is built based on the genetic algorithm, and the optimization results are analyzed simultaneously. The optimization results show that the blockchain technology is applied to the logistics information collaborative management system, improve the overall benefit of the logistics supply chain, and reduce the logistics distribution cost.