Robust Two-Stage Location Allocation for Emergency Temporary Blood Supply in Postdisaster

Disaster medical rescue in China mainly adopts the “on-site rescue” model. Whether the location of emergency temporary blood supply sites is reasonable or not directly affects the rescue efficiency. The paper studies the robust location-allocation for emergency temporary blood supply after disaster....

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Main Authors: Dongqing Luan, Along Liu, Xiaoli Wang, Yanxi Xie, Zhong Wu
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2022/6184170
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author Dongqing Luan
Along Liu
Xiaoli Wang
Yanxi Xie
Zhong Wu
author_facet Dongqing Luan
Along Liu
Xiaoli Wang
Yanxi Xie
Zhong Wu
author_sort Dongqing Luan
collection DOAJ
description Disaster medical rescue in China mainly adopts the “on-site rescue” model. Whether the location of emergency temporary blood supply sites is reasonable or not directly affects the rescue efficiency. The paper studies the robust location-allocation for emergency temporary blood supply after disaster. First, the factors of several candidate sites were quantified by the entropy-based TOPSIS method, and 12 candidate blood supply sites with higher priority were selected according to the evaluation indicators. At the same time, the uncertainty of blood demand at each disaster site increased the difficulty of decision-making, and then, a robust location model (MIRP) was constructed with minimum cost with time window constraints. It is also constrained by the uncertain demand for blood in three scenarios. Second, the survival probability function was introduced, and the time window limit was given at the minimum cost to maximize the survival probability of the suffered people. Finally, the numerical example experiments demonstrate that the increase in demand uncertainty and survival probability cause the MIRP model to generate more costs. Compared with the three MIRP models, the MIRP-ellipsoid set model gained better robustness. Also, given the necessary restrictions on the time window, the cost can be reduced by about 13% with the highest survival probability. Decision-makers can select different combinations of uncertainty levels and demand disturbance ratios and necessary time constraints to obtain the optimal location-allocation solution according to risk preference and actual conditions.
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institution Kabale University
issn 1607-887X
language English
publishDate 2022-01-01
publisher Wiley
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series Discrete Dynamics in Nature and Society
spelling doaj-art-aebb4af124c64da49e22868d6c3791a02025-02-03T06:05:31ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/6184170Robust Two-Stage Location Allocation for Emergency Temporary Blood Supply in PostdisasterDongqing Luan0Along Liu1Xiaoli Wang2Yanxi Xie3Zhong Wu4School of ManagementBusiness SchoolSchool of ManagementSchool of ManagementBusiness SchoolDisaster medical rescue in China mainly adopts the “on-site rescue” model. Whether the location of emergency temporary blood supply sites is reasonable or not directly affects the rescue efficiency. The paper studies the robust location-allocation for emergency temporary blood supply after disaster. First, the factors of several candidate sites were quantified by the entropy-based TOPSIS method, and 12 candidate blood supply sites with higher priority were selected according to the evaluation indicators. At the same time, the uncertainty of blood demand at each disaster site increased the difficulty of decision-making, and then, a robust location model (MIRP) was constructed with minimum cost with time window constraints. It is also constrained by the uncertain demand for blood in three scenarios. Second, the survival probability function was introduced, and the time window limit was given at the minimum cost to maximize the survival probability of the suffered people. Finally, the numerical example experiments demonstrate that the increase in demand uncertainty and survival probability cause the MIRP model to generate more costs. Compared with the three MIRP models, the MIRP-ellipsoid set model gained better robustness. Also, given the necessary restrictions on the time window, the cost can be reduced by about 13% with the highest survival probability. Decision-makers can select different combinations of uncertainty levels and demand disturbance ratios and necessary time constraints to obtain the optimal location-allocation solution according to risk preference and actual conditions.http://dx.doi.org/10.1155/2022/6184170
spellingShingle Dongqing Luan
Along Liu
Xiaoli Wang
Yanxi Xie
Zhong Wu
Robust Two-Stage Location Allocation for Emergency Temporary Blood Supply in Postdisaster
Discrete Dynamics in Nature and Society
title Robust Two-Stage Location Allocation for Emergency Temporary Blood Supply in Postdisaster
title_full Robust Two-Stage Location Allocation for Emergency Temporary Blood Supply in Postdisaster
title_fullStr Robust Two-Stage Location Allocation for Emergency Temporary Blood Supply in Postdisaster
title_full_unstemmed Robust Two-Stage Location Allocation for Emergency Temporary Blood Supply in Postdisaster
title_short Robust Two-Stage Location Allocation for Emergency Temporary Blood Supply in Postdisaster
title_sort robust two stage location allocation for emergency temporary blood supply in postdisaster
url http://dx.doi.org/10.1155/2022/6184170
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AT alongliu robusttwostagelocationallocationforemergencytemporarybloodsupplyinpostdisaster
AT xiaoliwang robusttwostagelocationallocationforemergencytemporarybloodsupplyinpostdisaster
AT yanxixie robusttwostagelocationallocationforemergencytemporarybloodsupplyinpostdisaster
AT zhongwu robusttwostagelocationallocationforemergencytemporarybloodsupplyinpostdisaster