Highlights Implemented a ( s , S ) policy to solve a liner shipping operation level problem. Both bunker prices and consumption uncertainties were considered. Proposed two variations of the progressive hedging algorithm to solve our problem. Performed extensive numerical experiments.

    Abstract This work expounds on implementing an effective dynamic ( s , S ) policy to solve a liner shipping refueling and speed determination problem under both bunker prices and consumption uncertainties. While solving an optimization model which incorporates a continuous distribution is extremely challenging, we use sample average approximation method to solve it. However, the resulting problem is still a very large-scaled problem. Therefore, we propose two variations of the progressive hedging algorithm to tackle it. Numerical results show that our solution method is efficient and, in addition, our dynamic ( s , S ) policy model has significant cost reduction potential compared to stationary models.


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    Title :

    ( s , S ) policy model for liner shipping refueling and sailing speed optimization problem


    Contributors:


    Publication date :

    2014-12-05


    Size :

    17 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English








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