Location-Routing Problem for Relief Distribution in the Early Post-Earthquake Stage from the Perspective of Fairness

To address the shortage of relief in disaster areas during the early stages after an earthquake, a location-routing problem (LRP) was studied from the perspective of fairness. A multi-objective model for the fair LRP was developed by lexicographic order object optimal method in consideration of the...

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Main Authors:	Changshi Liu, Gang Kou, Yi Peng, Fawaz E. Alsaadi
Format:	Article
Language:	English
Published:	MDPI AG 2019-06-01
Series:	Sustainability
Subjects:	location-routing problem relief delivery fair allocation fair distribution
Online Access:	https://www.mdpi.com/2071-1050/11/12/3420

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spelling	doaj-188f1ddb1e164fb1925e3c55100ad7b22020-11-25T02:10:50ZengMDPI AGSustainability2071-10502019-06-011112342010.3390/su11123420su11123420Location-Routing Problem for Relief Distribution in the Early Post-Earthquake Stage from the Perspective of FairnessChangshi Liu0Gang Kou1Yi Peng2Fawaz E. Alsaadi3School of Management, Hunan University of Commerce, Changsha 410205, ChinaSchool of Business Administration, Southwestern University of Finance and Economics, Chengdu 611130, ChinaSchool of Management and Economics, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu 611731, ChinaDepartment of information Technology, Faculty of Computing and IT, King Abdulaziz University, Jeddah 21589, Saudi ArabiaTo address the shortage of relief in disaster areas during the early stages after an earthquake, a location-routing problem (LRP) was studied from the perspective of fairness. A multi-objective model for the fair LRP was developed by lexicographic order object optimal method in consideration of the urgent window constraints, partial road damage, multimodal relief delivery, disaster severity, and vulnerability of each demand node when its demand is not satisfied. The goals of this model are to minimize (1) the maximum loss of demand node, (2) the total loss of demand node, and (3) the maximum time required for the demand node to receive relief. A hybrid heuristic algorithm was proposed to solve the model. Finally, the utility and fairness of the model and algorithm were demonstrated by a case study during the first day after the great Wenchuan earthquake in China.https://www.mdpi.com/2071-1050/11/12/3420location-routing problemrelief deliveryfair allocationfair distribution
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Changshi Liu Gang Kou Yi Peng Fawaz E. Alsaadi
spellingShingle	Changshi Liu Gang Kou Yi Peng Fawaz E. Alsaadi Location-Routing Problem for Relief Distribution in the Early Post-Earthquake Stage from the Perspective of Fairness Sustainability location-routing problem relief delivery fair allocation fair distribution
author_facet	Changshi Liu Gang Kou Yi Peng Fawaz E. Alsaadi
author_sort	Changshi Liu
title	Location-Routing Problem for Relief Distribution in the Early Post-Earthquake Stage from the Perspective of Fairness
title_short	Location-Routing Problem for Relief Distribution in the Early Post-Earthquake Stage from the Perspective of Fairness
title_full	Location-Routing Problem for Relief Distribution in the Early Post-Earthquake Stage from the Perspective of Fairness
title_fullStr	Location-Routing Problem for Relief Distribution in the Early Post-Earthquake Stage from the Perspective of Fairness
title_full_unstemmed	Location-Routing Problem for Relief Distribution in the Early Post-Earthquake Stage from the Perspective of Fairness
title_sort	location-routing problem for relief distribution in the early post-earthquake stage from the perspective of fairness
publisher	MDPI AG
series	Sustainability
issn	2071-1050
publishDate	2019-06-01
description	To address the shortage of relief in disaster areas during the early stages after an earthquake, a location-routing problem (LRP) was studied from the perspective of fairness. A multi-objective model for the fair LRP was developed by lexicographic order object optimal method in consideration of the urgent window constraints, partial road damage, multimodal relief delivery, disaster severity, and vulnerability of each demand node when its demand is not satisfied. The goals of this model are to minimize (1) the maximum loss of demand node, (2) the total loss of demand node, and (3) the maximum time required for the demand node to receive relief. A hybrid heuristic algorithm was proposed to solve the model. Finally, the utility and fairness of the model and algorithm were demonstrated by a case study during the first day after the great Wenchuan earthquake in China.
topic	location-routing problem relief delivery fair allocation fair distribution
url	https://www.mdpi.com/2071-1050/11/12/3420
work_keys_str_mv	AT changshiliu locationroutingproblemforreliefdistributionintheearlypostearthquakestagefromtheperspectiveoffairness AT gangkou locationroutingproblemforreliefdistributionintheearlypostearthquakestagefromtheperspectiveoffairness AT yipeng locationroutingproblemforreliefdistributionintheearlypostearthquakestagefromtheperspectiveoffairness AT fawazealsaadi locationroutingproblemforreliefdistributionintheearlypostearthquakestagefromtheperspectiveoffairness
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Location-Routing Problem for Relief Distribution in the Early Post-Earthquake Stage from the Perspective of Fairness

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