Berths and quay cranes are the most critical resources in determining the capacity of container terminals. In order to utilize berths and quay cranes efficiently, this paper studies the integrated dynamic discrete berth allocation and quay crane assignment problem considering the cost balance. The objective of the proposed model is to reduce the total service cost, including the handling cost, the waiting cost, and the quay crane operation cost. Due to the inherent computation complexity, a genetic algorithm is designed to attain a near optimal solution. Computational experiments show that the proposed genetic algorithm is effective in solving the studied problem. The total service cost is influenced by the value of the cost balance.


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    Title :

    A Genetic Algorithm for Integrated Berth Allocation and Quay Crane Assignment Problems in Container Terminals


    Contributors:
    Xin Cao, Jie (author) / Ren, Jie (author) / Mandula (author) / Ting Shang, Xiao (author)

    Conference:

    16th COTA International Conference of Transportation Professionals ; 2016 ; Shanghai, China


    Published in:

    CICTP 2016 ; 543-554


    Publication date :

    2016-07-01




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English