Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICSSSM.2005.1499483
DC FieldValue
dc.titleCargo mix and shipment planning problem with uncertainty
dc.contributor.authorCao, C.
dc.contributor.authorAng, J.S.K.
dc.contributor.authorYe, H.
dc.date.accessioned2013-10-09T03:28:23Z
dc.date.available2013-10-09T03:28:23Z
dc.date.issued2005
dc.identifier.citationCao, C.,Ang, J.S.K.,Ye, H. (2005). Cargo mix and shipment planning problem with uncertainty. 2005 International Conference on Services Systems and Services Management, Proceedings of ICSSSM'05 1 : 305-310. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICSSSM.2005.1499483" target="_blank">https://doi.org/10.1109/ICSSSM.2005.1499483</a>
dc.identifier.isbn0780389719
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/44160
dc.description.abstractInternational ocean container shipping is a huge investment business and carriers expect more benefits from improving the operational level cargo mix and shipment planning. In this paper, we describe the characteristics of the cargo mix and shipment schedule problem with uncertainty in a multi-period planning horizon, and propose a two-stage stochastic mixed integer programming model for the problem. The objective of the model is maximizing the expected profit over the possible decisions under the uncertainty of shipping capacities. A heuristic algorithm is proposed to obtain an approximate optimal solution for the problem. Finally, we give numerical experiments to demonstrate the efficiency of the algorithm. © 2005 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICSSSM.2005.1499483
dc.sourceScopus
dc.subjectCargo mix
dc.subjectHeuristic algorithm
dc.subjectLogistics
dc.subjectStochastic mixed integer programming
dc.typeConference Paper
dc.contributor.departmentDECISION SCIENCES
dc.description.doi10.1109/ICSSSM.2005.1499483
dc.description.sourcetitle2005 International Conference on Services Systems and Services Management, Proceedings of ICSSSM'05
dc.description.volume1
dc.description.page305-310
dc.identifier.isiutNOT_IN_WOS
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