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dc.contributor.authorDükkancı, Okanen_US
dc.contributor.authorKara, Bahar Y.en_US
dc.coverage.spatialDubai, United Arab Emiratesen_US
dc.date.accessioned2016-02-08T11:58:35Zen_US
dc.date.available2016-02-08T11:58:35Zen_US
dc.date.issued2014en_US
dc.identifier.issn0305-0548en_US
dc.identifier.urihttp://hdl.handle.net/11693/27641en_US
dc.descriptionDate of Conference: 18-21 October 2014en_US
dc.descriptionConference Name: AGIFORS 54th Annual Symposium: An Industry in Transformation, 2014en_US
dc.description.abstractHubs are facilities that consolidate and disseminate flow in many-to-many distribution systems. The hub location problem considers decisions that include the locations of hubs in a network and also the allocations of the demand (non-hub) nodes to these hubs. We propose a hierarchical multimodal hub network. Based on this network, we define a hub covering problem with a service time bound. The hierarchical network consists of three layers. We consider two different structures: ring-star-star (RSS) and ring-ring-star (RRS). The multimodal network has three different types of vehicles in each layer: airplanes, large trucks and small trucks. For the proposed problems (RSS and RRS), we present and strengthen two mathematical models with some variable fixing rules and valid inequalities. We conduct the computational analysis over the Turkish network and the CAB data sets.en_US
dc.language.isoEnglishen_US
dc.source.titleComputers & Operations Researchen_US
dc.relation.isversionofhttps://doi.org/10.1016/j.cor.2017.03.013en_US
dc.subjectCargo applicationsen_US
dc.subjectHierarchical network designen_US
dc.subjectHub locationen_US
dc.subjectTime-definite deliveryen_US
dc.subjectComputational analysisen_US
dc.subjectHierarchical networken_US
dc.subjectHub coveringen_US
dc.titleRouting and scheduling decisions in the hierarchical hub location problemen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.citation.spage45en_US
dc.citation.epage57en_US
dc.citation.volumeNumber85en_US
dc.identifier.doi10.1016/j.cor.2017.03.013en_US
dc.publisherElsevieren_US


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