Modeling and simulation of collaborative dispatching of disaster relief materials based on urgency
Modeling and simulation of collaborative dispatching of disaster relief materials based on urgency
In order to address the lack of collaborative decision and failure to notice the emergency and fairness of relief after disasters have occurred, a collaborative decision-making system for emergency relief materials dispatching is established. According to the forecast of the demand for postdisaster relief materials, the entropy weight-TOPSIS method is applied to measure the urgency of the disaster area; then, a “Hub-and-Spoke” dispatching network is constructed. In this paper, a multiobjective collaborative relief material dispatching model is built, which has great performance in terms of minimal distribution cost and maximal fairness, and the objective of fairness requires minimizing the penalty cost caused by unsatisfied demands. Based on the urgency of demand points, the simulated annealing algorithm is designed to solve the Pareto disaggregation of multiobjective optimization model. The performance of the model is verified with the case of Wenchuan Earthquake. The results indicate that if the fair distribution of supplies is emphasized, it will increase the number of rescue vehicles and the number of distribution batches. On the other hand, a variety of relief material dispatching plans can be provided based on calculation of the Pareto front for policy-makers.
1-13
Guan, Gaofeng
82b14b02-8959-47b4-ae20-69c58576ee65
Lin, Zijun
d9c27f6d-a00c-45e0-9016-80b2b6063141
Gong, Yu
86c8d37a-744d-46ab-8b43-18447ccaf39c
Jiang, Zhijuan
d1315aea-1624-4b4e-ab72-7fe6a498080b
10 August 2020
Guan, Gaofeng
82b14b02-8959-47b4-ae20-69c58576ee65
Lin, Zijun
d9c27f6d-a00c-45e0-9016-80b2b6063141
Gong, Yu
86c8d37a-744d-46ab-8b43-18447ccaf39c
Jiang, Zhijuan
d1315aea-1624-4b4e-ab72-7fe6a498080b
Guan, Gaofeng, Lin, Zijun, Gong, Yu and Jiang, Zhijuan
(2020)
Modeling and simulation of collaborative dispatching of disaster relief materials based on urgency.
Mathematical Problems in Engineering, 2020, , [4274106].
(doi:10.1155/2020/4274106).
Abstract
In order to address the lack of collaborative decision and failure to notice the emergency and fairness of relief after disasters have occurred, a collaborative decision-making system for emergency relief materials dispatching is established. According to the forecast of the demand for postdisaster relief materials, the entropy weight-TOPSIS method is applied to measure the urgency of the disaster area; then, a “Hub-and-Spoke” dispatching network is constructed. In this paper, a multiobjective collaborative relief material dispatching model is built, which has great performance in terms of minimal distribution cost and maximal fairness, and the objective of fairness requires minimizing the penalty cost caused by unsatisfied demands. Based on the urgency of demand points, the simulated annealing algorithm is designed to solve the Pareto disaggregation of multiobjective optimization model. The performance of the model is verified with the case of Wenchuan Earthquake. The results indicate that if the fair distribution of supplies is emphasized, it will increase the number of rescue vehicles and the number of distribution batches. On the other hand, a variety of relief material dispatching plans can be provided based on calculation of the Pareto front for policy-makers.
Text
4274106
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Accepted/In Press date: 27 June 2020
Published date: 10 August 2020
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Local EPrints ID: 445086
URI: http://eprints.soton.ac.uk/id/eprint/445086
ISSN: 1024-123X
PURE UUID: 59d5ba35-6d42-4be3-8892-f13793c9b552
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Date deposited: 19 Nov 2020 17:31
Last modified: 06 Jun 2024 01:58
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Author:
Gaofeng Guan
Author:
Zijun Lin
Author:
Zhijuan Jiang
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