Vehicle routing and re-routing in emergency logistics
In 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...
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Format: | Final Year Project (FYP) |
Language: | English |
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2015
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Online Access: | http://hdl.handle.net/10356/63453 |
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author | Ong, Teck Ghee |
author2 | Nie Xiao Feng |
author_facet | Nie Xiao Feng Ong, Teck Ghee |
author_sort | Ong, Teck Ghee |
collection | NTU |
description | In 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. |
first_indexed | 2024-10-01T04:39:08Z |
format | Final Year Project (FYP) |
id | ntu-10356/63453 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T04:39:08Z |
publishDate | 2015 |
record_format | dspace |
spelling | ntu-10356/634532023-03-04T18:56:31Z Vehicle routing and re-routing in emergency logistics Ong, Teck Ghee Nie Xiao Feng School of Mechanical and Aerospace Engineering DRNTU::Engineering::Industrial engineering::Operations research In 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. Bachelor of Engineering (Mechanical Engineering) 2015-05-13T09:17:25Z 2015-05-13T09:17:25Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/63453 en Nanyang Technological University 75 p. application/pdf |
spellingShingle | DRNTU::Engineering::Industrial engineering::Operations research Ong, Teck Ghee Vehicle routing and re-routing in emergency logistics |
title | Vehicle routing and re-routing in emergency logistics |
title_full | Vehicle routing and re-routing in emergency logistics |
title_fullStr | Vehicle routing and re-routing in emergency logistics |
title_full_unstemmed | Vehicle routing and re-routing in emergency logistics |
title_short | Vehicle routing and re-routing in emergency logistics |
title_sort | vehicle routing and re routing in emergency logistics |
topic | DRNTU::Engineering::Industrial engineering::Operations research |
url | http://hdl.handle.net/10356/63453 |
work_keys_str_mv | AT ongteckghee vehicleroutingandreroutinginemergencylogistics |