In order to improve a ship's delivery of emergency materials fast and effectively, it is necessary to make a study of the container terminal location-assignment problem. A multi-objective optimization model was developed to minimize the sum of transportation costs, transshipment costs and emergency starting funds, as well as the total time of transportation emergency materials. An improved genetic algorithm was also proposed to solve the model. Finally, the validity of the model and algorithm was demonstrated by a numerical example.


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    Titel :

    Location-Assignment Model and Algorithm for the Transshipment Container Terminal of Maritime Emergency Materials


    Beteiligte:
    Li, Zhouqing (Autor:in) / Liu, Xiangjie (Autor:in) / Song, Yuanming (Autor:in)

    Kongress:

    2014 International Conference of Logistics Engineering and Management ; 2014 ; Shanghai, China


    Erschienen in:

    ICLEM 2014 ; 414-419


    Erscheinungsdatum :

    17.09.2014




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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