Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/75678
DC FieldValueLanguage
dc.contributorDepartment of Electrical Engineering-
dc.creatorUpadhyay, A-
dc.creatorGu, WH-
dc.creatorBolia, N-
dc.date.accessioned2018-05-10T02:54:22Z-
dc.date.available2018-05-10T02:54:22Z-
dc.identifier.issn1366-5545-
dc.identifier.urihttp://hdl.handle.net/10397/75678-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.subjectContainer trainsen_US
dc.subjectDecision support systemen_US
dc.subjectIntermodal transporten_US
dc.subjectHeuristicsen_US
dc.subjectIndian Railwaysen_US
dc.titleOptimal loading of double-stack container trainsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1-
dc.identifier.epage22-
dc.identifier.volume107-
dc.identifier.doi10.1016/j.tre.2017.08.010-
dcterms.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%.-
dcterms.bibliographicCitationTransportation research. Part E, Logistics and transportation review, 2017, v. 107, p. 1-22-
dcterms.isPartOfTransportation research. Part E, Logistics and transportation review-
dcterms.issued2017-
dc.identifier.isiWOS:000413388600001-
dc.identifier.eissn1878-5794-
dc.identifier.rosgroupid2017002758-
dc.description.ros2017-2018 > Academic research: refereed > Publication in refereed journal-
dc.description.validate201805 bcrc-
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