HighlightsDeveloped a new optimization model for double-stack container train loading problem.Analyzed multiple objectives and formulated two new objectives: maximize profit and minimize tardiness.Derived problem specific mathematical properties that are crucial in reducing the computation time.Reported the first ever real-life implementation.Shown significant benefits including about 3% reduction in the haulage cost.

    AbstractWe develop a new mathematical model for optimizing the loading of double-stack container trains. We analyze the practical importance of multiple objectives reported in the literature and formulate two new objectives: maximizing profit and minimizing tardiness. The model accounts for containers of different types, weights, and heights, and their feasible loading combinations on a wagon satisfying real operational constraints. The model is solved optimally by CPLEX after exploiting the problem specific properties. A decision support system based on this optimization model has been deployed by a major train operator in India. Numerical cases show that our model can reduce the container haulage cost by about 3%.


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    Titel :

    Optimal loading of double-stack container trains


    Beteiligte:
    Upadhyay, Amit (Autor:in) / Gu, Weihua (Autor:in) / Bolia, Nomesh (Autor:in)


    Erscheinungsdatum :

    2017-08-21


    Format / Umfang :

    22 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch