Assessment of Quay and Yard Transshipment Operations Under Proximity Limitations in Multi-Terminal Container Ports

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dc.contributor.authorHeilig, Leonard
dc.contributor.authorLalla-Ruiz, Eduardo
dc.contributor.authorBode, Christoph
dc.contributor.authorVoß, Stefan
dc.date.accessioned2019-01-02T23:53:59Z
dc.date.available2019-01-02T23:53:59Z
dc.date.issued2019-01-08
dc.description.abstractThe assignment of storage locations and space has a considerable impact on the performance of container terminals. This holds especially in multi-terminal transshipment ports where the planning of inbound and outbound container flows needs to consider space limitations and travel distances for reallocations, causing both intra- and inter-terminal transports. Thus, in this work, we study the impact of closeness limitations on quay and yard areas when conducting transshipment operations at multi-terminal transshipment ports. In doing so, a mathematical formulation and several scenarios covering different distance policies for limiting the allocation of containers before vessel loading or unloading operations are assessed. At a tactical level, this paper provides insights on assignment decisions while assessing distance-based policies that can be incorporated in practice.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2019.187
dc.identifier.isbn978-0-9981331-2-6
dc.identifier.urihttp://hdl.handle.net/10125/59595
dc.language.isoeng
dc.relation.ispartofProceedings of the 52nd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectIntelligent Decision Support and Big Data for Logistics and Supply Chain Management
dc.subjectDecision Analytics, Mobile Services, and Service Science
dc.subjectMaritime Logistics, Container Transshipment, Mathematical Programming, Sensitivity Analysis
dc.titleAssessment of Quay and Yard Transshipment Operations Under Proximity Limitations in Multi-Terminal Container Ports
dc.typeConference Paper
dc.type.dcmiText

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Intelligent Decision Support and Big Data for Logistics and Supply Chain Management