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dc.contributor.authorGurevich, Mark
dc.contributor.authorLacayo, Leonardo
dc.contributor.authorLynch, Courtney
dc.contributor.authorPavia, Andres
dc.contributor.authorReichsfeld, Jessica
dc.contributor.authorSchrichte, Matthew
dc.contributor.authorYildirim, Baris
dc.contributor.authorZheng, Zheng
dc.date.accessioned2012-07-30T22:13:46Z
dc.date.available2012-07-30T22:13:46Z
dc.date.issued2012-05-02
dc.identifier.urihttp://hdl.handle.net/1853/44490
dc.descriptionPresented on May 2, 2012 from 5:45 PM – 8:00 PM in the Klaus Advanced Computing Building, room 1443 on the Georgia Tech campus.en_US
dc.descriptionBest of Senior Design Spring 2012 Finalist Presentations.
dc.descriptionRuntime: 24:53 minutes
dc.description.abstractSaia, Inc. is a super-regional, less-than-truckload (LTL) company. The team developed an approach to optimize the composition of Saia's trailer fleet, and to assign the fleet to appropriate terminals throughout the network. The approach relies on a large-scale integer program that models the flow of trailers of different types over time using a week-long planning horizon across Saia's network of nearly 150 terminals. Using the model for a number of planning weeks, the approach is used to determine the right size and composition of the trailer fleet and provides a purchasing strategy given a capital budget for new trailers. It is estimated that Saia will save $1.8 million annually using the fleet proposed by the approach.en_US
dc.format.extent24:53 minutes
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesISYE Senior Design
dc.subjectIndustrial engineeringen_US
dc.subjectLess-than-truckloaden_US
dc.subjectLogisticsen_US
dc.subjectOptimizationen_US
dc.subjectTrailer fleeten_US
dc.subjectTruckingen_US
dc.titleDetermining System Trailer Fleet Size and Terminal Assignmenten_US
dc.typePresentationen_US
dc.typeVideoen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Industrial and Systems Engineering
dc.description.advisorErera, Alan


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