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%.
Optimal loading of double-stack container trains
2017-08-21
22 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
British Library Online Contents | 2009
NTIS | 1969
|Online Contents | 1995