Highlights A method to deal with a JCCP model for a short-term LSFD problem with uncertain demand is proposed. The relative gap of the JCCP model increases with the interval between confidence levels. The variability of the uncertain parameters has a significant effect on the solutions. More cost is needed to maintain a given level of service when risk in shipping market increases.

    Abstract This paper provides a tangible methodology to deal with the liner ship fleet deployment problem aiming at minimizing the total cost while maintaining a service level under uncertain container demand. The problem is first formulated as a joint chance constrained programming model, and the sample average approximation method and mixed-integer programming are used to deal with it. Finally, a numerical example of a liner shipping network is carried out to verify the applicability of the proposed model and solution algorithm. It is found that the service level has significant effect on the total cost.


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    Title :

    Risk management in liner ship fleet deployment: A joint chance constrained programming model


    Contributors:
    Wang, Tingsong (author) / Meng, Qiang (author) / Wang, Shuaian (author) / Tan, Zhijia (author)


    Publication date :

    2013-09-11


    Size :

    12 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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