The pandemic, such as COVID-19, has greatly impacted route of container shipping optimization across the world. Faced with these new challenges, optimizing the existing route to reduce shipping costs is a pressing concern. Utilizing quantitative methods and IBM ILOG CPLEX solution, considering the impact of liner schedules on routes, this paper conducts an optimization study on target routes with the goal of minimizing operational costs. By employing these methods, the pandemic-related factors were ultimately quantified, known routes were optimized, and transportation costs were reduced. It is beneficial for optimizing container shipping routes in the context of the pandemic's influence.


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    Titel :

    How Does the Pandemic Affect the Route Optimization of Container Shipping?


    Beteiligte:
    Yu, Le (Autor:in) / Yu, Siyuan (Autor:in) / Luo, Qin (Autor:in)


    Erscheinungsdatum :

    23.08.2024


    Format / Umfang :

    1534658 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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