Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5110415 | Transportation Research Part E: Logistics and Transportation Review | 2017 | 22 Pages |
Abstract
We 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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Authors
Amit Upadhyay, Weihua Gu, Nomesh Bolia,