In order to meet the demand of consumers to fresh goods and reduce the transport cost of fresh cold chain logistics, this paper firstly expounds the development status of fresh cold chain in our country. On this basis, the factors affecting the cost of fresh cold chain logistics in multimodal transport are analyzed, which are mainly the different costs caused by the different transport distance, transport mode, transport time and transport node selection. In order to reduce the fixed cost, transport cost of distribution vehicles, node transport cost, freight damage cost in the process of refrigerated fresh food transport and energy cost consumed by refrigerated goods in the process of distribution brought by various influencing factors, the cost optimization model of fresh cold chain logistics multimodal transport was established and solved by genetic annealing algorithm for example. The multimodal transportation path with the optimal cost within the time specified by the customer is obtained, which effectively reduces the penalty value in the distribution process and reduces the transportation cost.


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    Titel :

    Research on cost optimization of fresh cold chain logistics based on multimodal transport


    Beteiligte:
    Mikusova, Miroslava (Herausgeber:in) / Su, Mingyue (Autor:in) / Li, Yiru (Autor:in) / Liu, Huaqiong (Autor:in)

    Kongress:

    International Conference on Smart Transportation and City Engineering (STCE 2023) ; 2023 ; Chongqing, China


    Erschienen in:

    Proc. SPIE ; 13018


    Erscheinungsdatum :

    14.02.2024





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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