Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/75678
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Title: Optimal loading of double-stack container trains
Authors: Upadhyay, A 
Gu, WH 
Bolia, N
Issue Date: Nov-2017
Source: Transportation research. Part E, Logistics and transportation review, Nov. 2017, v. 107, p. 1-22
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%.
Keywords: Container trains
Decision support system
Intermodal transport
Heuristics
Indian Railways
Publisher: Pergamon Press
Journal: Transportation research. Part E, Logistics and transportation review 
ISSN: 1366-5545
EISSN: 1878-5794
DOI: 10.1016/j.tre.2017.08.010
Rights: © 2017 Elsevier Ltd. All rights reserved.
© 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
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