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A Two-Stage Approach for Medical Supplies Intermodal Transportation in Large-Scale Disaster Responses

We present a two-stage approach for the “helicopters and vehicles” intermodal transportation of medical supplies in large-scale disaster responses. In the first stage, a fuzzy-based method and its heuristic algorithm are developed to select the locations of temporary distribution centers (TDCs) and...

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Detalles Bibliográficos
Autores principales: Ruan, Junhu, Wang, Xuping, Shi, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4245601/
https://www.ncbi.nlm.nih.gov/pubmed/25350005
http://dx.doi.org/10.3390/ijerph111111081
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author Ruan, Junhu
Wang, Xuping
Shi, Yan
author_facet Ruan, Junhu
Wang, Xuping
Shi, Yan
author_sort Ruan, Junhu
collection PubMed
description We present a two-stage approach for the “helicopters and vehicles” intermodal transportation of medical supplies in large-scale disaster responses. In the first stage, a fuzzy-based method and its heuristic algorithm are developed to select the locations of temporary distribution centers (TDCs) and assign medial aid points (MAPs) to each TDC. In the second stage, an integer-programming model is developed to determine the delivery routes. Numerical experiments verified the effectiveness of the approach, and observed several findings: (i) More TDCs often increase the efficiency and utility of medical supplies; (ii) It is not definitely true that vehicles should load more and more medical supplies in emergency responses; (iii) The more contrasting the traveling speeds of helicopters and vehicles are, the more advantageous the intermodal transportation is.
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spelling pubmed-42456012014-12-02 A Two-Stage Approach for Medical Supplies Intermodal Transportation in Large-Scale Disaster Responses Ruan, Junhu Wang, Xuping Shi, Yan Int J Environ Res Public Health Article We present a two-stage approach for the “helicopters and vehicles” intermodal transportation of medical supplies in large-scale disaster responses. In the first stage, a fuzzy-based method and its heuristic algorithm are developed to select the locations of temporary distribution centers (TDCs) and assign medial aid points (MAPs) to each TDC. In the second stage, an integer-programming model is developed to determine the delivery routes. Numerical experiments verified the effectiveness of the approach, and observed several findings: (i) More TDCs often increase the efficiency and utility of medical supplies; (ii) It is not definitely true that vehicles should load more and more medical supplies in emergency responses; (iii) The more contrasting the traveling speeds of helicopters and vehicles are, the more advantageous the intermodal transportation is. MDPI 2014-10-27 2014-11 /pmc/articles/PMC4245601/ /pubmed/25350005 http://dx.doi.org/10.3390/ijerph111111081 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ruan, Junhu
Wang, Xuping
Shi, Yan
A Two-Stage Approach for Medical Supplies Intermodal Transportation in Large-Scale Disaster Responses
title A Two-Stage Approach for Medical Supplies Intermodal Transportation in Large-Scale Disaster Responses
title_full A Two-Stage Approach for Medical Supplies Intermodal Transportation in Large-Scale Disaster Responses
title_fullStr A Two-Stage Approach for Medical Supplies Intermodal Transportation in Large-Scale Disaster Responses
title_full_unstemmed A Two-Stage Approach for Medical Supplies Intermodal Transportation in Large-Scale Disaster Responses
title_short A Two-Stage Approach for Medical Supplies Intermodal Transportation in Large-Scale Disaster Responses
title_sort two-stage approach for medical supplies intermodal transportation in large-scale disaster responses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4245601/
https://www.ncbi.nlm.nih.gov/pubmed/25350005
http://dx.doi.org/10.3390/ijerph111111081
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