Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.trb.2013.04.003
DC FieldValue
dc.titleContainership scheduling with transit-time-sensitive container shipment demand
dc.contributor.authorWang, S.
dc.contributor.authorMeng, Q.
dc.contributor.authorLiu, Z.
dc.date.accessioned2014-06-17T05:29:21Z
dc.date.available2014-06-17T05:29:21Z
dc.date.issued2013-08
dc.identifier.citationWang, S., Meng, Q., Liu, Z. (2013-08). Containership scheduling with transit-time-sensitive container shipment demand. Transportation Research Part B: Methodological 54 : 68-83. ScholarBank@NUS Repository. https://doi.org/10.1016/j.trb.2013.04.003
dc.identifier.issn01912615
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/58993
dc.description.abstractThis paper examines the optimal containership schedule with transit-time-sensitive demand that is assumed to be a decreasing continuous function of transit time. A mixed-integer nonlinear non-convex optimization model is first formulated to maximize the total profit of a ship route. In view of the problem structure, a branch-and-bound based holistic solution method is developed. It is rigorously demonstrated that this solution method can obtain an ε-optimal solution in a finite number of iterations for general forms of transit-time-sensitive demand. Computational results based on a trans-Pacific liner ship route demonstrate the applicability and efficiency of the solution method. © 2013 Elsevier Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.trb.2013.04.003
dc.sourceScopus
dc.subjectBranch-and-bound
dc.subjectConic quadratic mixed-integer programming
dc.subjectContainership scheduling
dc.subjectLiner shipping
dc.subjectTransit-time-sensitive demand
dc.typeArticle
dc.contributor.departmentCIVIL & ENVIRONMENTAL ENGINEERING
dc.description.doi10.1016/j.trb.2013.04.003
dc.description.sourcetitleTransportation Research Part B: Methodological
dc.description.volume54
dc.description.page68-83
dc.identifier.isiut000321416400005
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