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Vehicle Scheduling Schemes for Commercial and Emergency Logistics Integration
In modern logistics operations, large-scale logistics companies, besides active participation in profit-seeking commercial business, also play an essential role during an emergency relief process by dispatching urgently-required materials to disaster-affected areas. Therefore, an issue has been wide...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3877009/ https://www.ncbi.nlm.nih.gov/pubmed/24391724 http://dx.doi.org/10.1371/journal.pone.0082866 |
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author | Li, Xiaohui Tan, Qingmei |
author_facet | Li, Xiaohui Tan, Qingmei |
author_sort | Li, Xiaohui |
collection | PubMed |
description | In modern logistics operations, large-scale logistics companies, besides active participation in profit-seeking commercial business, also play an essential role during an emergency relief process by dispatching urgently-required materials to disaster-affected areas. Therefore, an issue has been widely addressed by logistics practitioners and caught researchers' more attention as to how the logistics companies achieve maximum commercial profit on condition that emergency tasks are effectively and performed satisfactorily. In this paper, two vehicle scheduling models are proposed to solve the problem. One is a prediction-related scheme, which predicts the amounts of disaster-relief materials and commercial business and then accepts the business that will generate maximum profits; the other is a priority-directed scheme, which, firstly groups commercial and emergency business according to priority grades and then schedules both types of business jointly and simultaneously by arriving at the maximum priority in total. Moreover, computer-based simulations are carried out to evaluate the performance of these two models by comparing them with two traditional disaster-relief tactics in China. The results testify the feasibility and effectiveness of the proposed models. |
format | Online Article Text |
id | pubmed-3877009 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-38770092014-01-03 Vehicle Scheduling Schemes for Commercial and Emergency Logistics Integration Li, Xiaohui Tan, Qingmei PLoS One Research Article In modern logistics operations, large-scale logistics companies, besides active participation in profit-seeking commercial business, also play an essential role during an emergency relief process by dispatching urgently-required materials to disaster-affected areas. Therefore, an issue has been widely addressed by logistics practitioners and caught researchers' more attention as to how the logistics companies achieve maximum commercial profit on condition that emergency tasks are effectively and performed satisfactorily. In this paper, two vehicle scheduling models are proposed to solve the problem. One is a prediction-related scheme, which predicts the amounts of disaster-relief materials and commercial business and then accepts the business that will generate maximum profits; the other is a priority-directed scheme, which, firstly groups commercial and emergency business according to priority grades and then schedules both types of business jointly and simultaneously by arriving at the maximum priority in total. Moreover, computer-based simulations are carried out to evaluate the performance of these two models by comparing them with two traditional disaster-relief tactics in China. The results testify the feasibility and effectiveness of the proposed models. Public Library of Science 2013-12-31 /pmc/articles/PMC3877009/ /pubmed/24391724 http://dx.doi.org/10.1371/journal.pone.0082866 Text en © 2013 Li, Tan http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Li, Xiaohui Tan, Qingmei Vehicle Scheduling Schemes for Commercial and Emergency Logistics Integration |
title | Vehicle Scheduling Schemes for Commercial and Emergency Logistics Integration |
title_full | Vehicle Scheduling Schemes for Commercial and Emergency Logistics Integration |
title_fullStr | Vehicle Scheduling Schemes for Commercial and Emergency Logistics Integration |
title_full_unstemmed | Vehicle Scheduling Schemes for Commercial and Emergency Logistics Integration |
title_short | Vehicle Scheduling Schemes for Commercial and Emergency Logistics Integration |
title_sort | vehicle scheduling schemes for commercial and emergency logistics integration |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3877009/ https://www.ncbi.nlm.nih.gov/pubmed/24391724 http://dx.doi.org/10.1371/journal.pone.0082866 |
work_keys_str_mv | AT lixiaohui vehicleschedulingschemesforcommercialandemergencylogisticsintegration AT tanqingmei vehicleschedulingschemesforcommercialandemergencylogisticsintegration |