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Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.tre.2009.06.004
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dc.titleA novel modeling approach for the fleet deployment problem within a short-term planning horizon
dc.contributor.authorGelareh, S.
dc.contributor.authorMeng, Q.
dc.date.accessioned2014-06-16T09:33:08Z
dc.date.available2014-06-16T09:33:08Z
dc.date.issued2010-01
dc.identifier.citationGelareh, S., Meng, Q. (2010-01). A novel modeling approach for the fleet deployment problem within a short-term planning horizon. Transportation Research Part E: Logistics and Transportation Review 46 (1) : 76-89. ScholarBank@NUS Repository. https://doi.org/10.1016/j.tre.2009.06.004
dc.identifier.issn13665545
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/54632
dc.description.abstractThis paper is concerned with model development for a short-term fleet deployment problem of liner shipping operations. We first present a mixed integer nonlinear programming model in which the optimal vessel speeds for different vessel types on different routes are interpreted as their realistic optimal travel times. We then linearize the proposed nonlinear model and obtain a mixed integer linear programming (MILP) model that can be efficiently solved by a standard mixed integer programming solver such as CPLEX. The MILP model determines the optimal route service frequency pattern and take into account the time window constraints of shipping services. Finally, we report our numerical results and performance of CPLEX on randomly generated instances. © 2009 Elsevier Ltd. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.tre.2009.06.004
dc.sourceScopus
dc.subjectContainership
dc.subjectFleet deployment
dc.subjectLinearization
dc.subjectLiner shipping
dc.subjectMixed integer programming
dc.typeArticle
dc.contributor.departmentCIVIL ENGINEERING
dc.description.doi10.1016/j.tre.2009.06.004
dc.description.sourcetitleTransportation Research Part E: Logistics and Transportation Review
dc.description.volume46
dc.description.issue1
dc.description.page76-89
dc.identifier.isiut000271409100006
Appears in Collections:Staff Publications

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