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

Research Article

Research on Modeling of Multi — vehicle Supply Chain Logistics Transportation Scheduling Based on Improved Ant Colony Algorithm

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  • @INPROCEEDINGS{10.4108/eai.27-10-2023.2342023,
        author={Yutao  Zhou},
        title={Research on Modeling of Multi --- vehicle Supply Chain Logistics Transportation Scheduling Based on Improved Ant Colony Algorithm},
        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={improved ant colony algorithm; many models; supply chain; logistics transportation; scheduling model;the constraint factors},
        doi={10.4108/eai.27-10-2023.2342023}
    }
    
  • Yutao Zhou
    Year: 2024
    Research on Modeling of Multi — vehicle Supply Chain Logistics Transportation Scheduling Based on Improved Ant Colony Algorithm
    ICEMBDA
    EAI
    DOI: 10.4108/eai.27-10-2023.2342023
Yutao Zhou1,*
  • 1: Tianjin University of Technology
*Contact email: 1204556314@qq.com

Abstract

A multi-vehicle supply chain logistics transportation scheduling model based on improved ant colony algorithm is studied to realize high speed and high quality path optimization and reduce transportation cost and time.Based on basic ant colony algorithm of heuristic information function and pheromone update model to implement improvements,improved ant colony algorithm,on this basis,set by the transportation cost and shipping time,vehicle fuel consumption,distribution range and highest capacity into the algorithm,the constraint factors such as building contains multiple constraint factor of the scheduling model,realize the model of supply chain logistics transportation scheduling,Results show that the model has high convergence speed and the path optimization performance,the search for the path to the high quality,can according to different retailers distribution network to search for the optimal path,and to seek different path scheduling models of vehicles,scheduling results can meet the highest distribution of each vehicle distance and capacity constraints,realize the model of supply chain logistics optimization scheduling,Achieve the goal of reducing transportation cost and transportation time