Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/75678
Title: Optimal loading of double-stack container trains
Authors: Upadhyay, A 
Gu, WH 
Bolia, N
Keywords: Container trains
Decision support system
Intermodal transport
Heuristics
Indian Railways
Issue Date: 2017
Publisher: Pergamon Press
Source: Transportation research. Part E, Logistics and transportation review, 2017, v. 107, p. 1-22 How to cite?
Journal: Transportation research. Part E, Logistics and transportation review 
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%.
URI: http://hdl.handle.net/10397/75678
ISSN: 1366-5545
EISSN: 1878-5794
DOI: 10.1016/j.tre.2017.08.010
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