Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/63453
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dc.contributor.authorOng, Teck Ghee
dc.date.accessioned2015-05-13T09:17:25Z
dc.date.available2015-05-13T09:17:25Z
dc.date.copyright2015en_US
dc.date.issued2015
dc.identifier.urihttp://hdl.handle.net/10356/63453
dc.description.abstractIn disaster relief, the timing and arrangement of emergency supply distributions are crucial in order to achieve better responses and to minimize causalities and suffering. This project aims to develop an optimization model using mixed integer programming to suit the needs of emergency logistics in disaster relief. The model provides the optimization for vehicle routing and re-routing for the distribution of emergency supplies by modelling emergency supply distribution centers as supply nodes and destinations as demand nodes as a vehicle routing problem. The model is then solved using the Gurobi solver on neoserver. Further analysis was also conducted to look into various scenarios in relief transport operations and the corresponding changes to the model input and results.en_US
dc.format.extent75 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Industrial engineering::Operations researchen_US
dc.titleVehicle routing and re-routing in emergency logisticsen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorNie Xiao Fengen_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.description.degreeBachelor of Engineering (Mechanical Engineering)en_US
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Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)
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