A novel multi-objective programming model of relief distribution for sustainable disaster supply chain in large-scale natural disasters

To save lives and reduce suffering of victims, the focus of this paper is to design the strategies of relief distribution regarding beneficiary perspective on sustainability. This problem is formulated as a multi-objective mixed-integer nonlinear programming model to maximize the lowest victims'...

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Vydané v:	Journal of cleaner production Ročník 174; s. 1422 - 1435
Hlavní autori:	Cao, Cejun, Li, Congdong, Yang, Qin, Liu, Yang, Qu, Ting
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 10.02.2018
Predmet:	algorithms case studies decision making disasters earthquakes Genetic algorithm inventories mathematical models Multi-objective programming model Relief distribution supply chain sustainable development Sustainable disaster supply chain Victims' perceived satisfaction Sustainable disaster supply chain Relief distribution Multi-objective programming model Genetic algorithm Victims' perceived satisfaction Victims perceived satisfaction
ISSN:	0959-6526, 1879-1786, 1879-1786
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Abstract	To save lives and reduce suffering of victims, the focus of this paper is to design the strategies of relief distribution regarding beneficiary perspective on sustainability. This problem is formulated as a multi-objective mixed-integer nonlinear programming model to maximize the lowest victims' perceived satisfaction, and minimize respectively the largest deviation on victims’ perceived satisfaction for all demand points and sub-phases. Then, genetic algorithm is proposed to solve this mathematical model. To validate the proposed methodologies, a case study from Wenchuan earthquake is illustrated. Computational results demonstrate genetic algorithm here can achieve the trade-off between solution quality and computation time for relief distribution with the concern of sustainability. Furthermore, it indicates that the methodology provides the tools for decision-makers to optimize the structure of relief distribution network and inventory, as well as alleviate the suffering of victims. Increasingly, this paper expects to not only validate the proposed model and method, but also highlight the importance and urge of considering beneficiary perspective on sustainability into relief distribution problem. •Relief distribution problem regarding sustainability of disaster is proposed.•Beneficiary perspective on sustainability is measured by perceived satisfaction.•Multi-objective programming model is used to formulate relief distribution.•GA with matrix encoding is applied to solve the developed mathematical model.•Results show that the methodology can improve the emergency decision making.
AbstractList	To save lives and reduce suffering of victims, the focus of this paper is to design the strategies of relief distribution regarding beneficiary perspective on sustainability. This problem is formulated as a multi-objective mixed-integer nonlinear programming model to maximize the lowest victims' perceived satisfaction, and minimize respectively the largest deviation on victims’ perceived satisfaction for all demand points and sub-phases. Then, genetic algorithm is proposed to solve this mathematical model. To validate the proposed methodologies, a case study from Wenchuan earthquake is illustrated. Computational results demonstrate genetic algorithm here can achieve the trade-off between solution quality and computation time for relief distribution with the concern of sustainability. Furthermore, it indicates that the methodology provides the tools for decision-makers to optimize the structure of relief distribution network and inventory, as well as alleviate the suffering of victims. Increasingly, this paper expects to not only validate the proposed model and method, but also highlight the importance and urge of considering beneficiary perspective on sustainability into relief distribution problem. To save lives and reduce suffering of victims, the focus of this paper is to design the strategies of relief distribution regarding beneficiary perspective on sustainability. This problem is formulated as a multi objective mixed-integer nonlinear programming model to maximize the lowest victims perceived satisfaction, and minimize respectively the largest deviation on victims perceived satisfaction for all demand points and sub-phases. Then, genetic algorithm is proposed to solve this mathematical model. To validate the proposed methodologies, a case study from Wenchuan earthquake is illustrated. Computational results demonstrate genetic algorithm here can achieve the trade-off between solution quality and computation time for relief distribution with the concern of sustainability. Furthermore, it indicates that the methodology provides the tools for decision-makers to optimize the structure of relief distribution network and inventory, as well as alleviate the suffering of victims. Increasingly, this paper expects to not only validate the proposed model and method, but also highlight the importance and urge of considering beneficiary perspective on sustainability into relief distribution problem. (C) 2017 Elsevier Ltd. All rights reserved. To save lives and reduce suffering of victims, the focus of this paper is to design the strategies of relief distribution regarding beneficiary perspective on sustainability. This problem is formulated as a multi-objective mixed-integer nonlinear programming model to maximize the lowest victims' perceived satisfaction, and minimize respectively the largest deviation on victims’ perceived satisfaction for all demand points and sub-phases. Then, genetic algorithm is proposed to solve this mathematical model. To validate the proposed methodologies, a case study from Wenchuan earthquake is illustrated. Computational results demonstrate genetic algorithm here can achieve the trade-off between solution quality and computation time for relief distribution with the concern of sustainability. Furthermore, it indicates that the methodology provides the tools for decision-makers to optimize the structure of relief distribution network and inventory, as well as alleviate the suffering of victims. Increasingly, this paper expects to not only validate the proposed model and method, but also highlight the importance and urge of considering beneficiary perspective on sustainability into relief distribution problem. •Relief distribution problem regarding sustainability of disaster is proposed.•Beneficiary perspective on sustainability is measured by perceived satisfaction.•Multi-objective programming model is used to formulate relief distribution.•GA with matrix encoding is applied to solve the developed mathematical model.•Results show that the methodology can improve the emergency decision making.
Author	Yang, Qin Cao, Cejun Liu, Yang Li, Congdong Qu, Ting
Author_xml	– sequence: 1 givenname: Cejun surname: Cao fullname: Cao, Cejun organization: College of Management and Economics, Tianjin University, Tianjin, 300072, China – sequence: 2 givenname: Congdong surname: Li fullname: Li, Congdong email: licd@jnu.edu.cn organization: College of Management and Economics, Tianjin University, Tianjin, 300072, China – sequence: 3 givenname: Qin surname: Yang fullname: Yang, Qin organization: School of Business, Sichuan Normal University, Chengdu, 610101, China – sequence: 4 givenname: Yang surname: Liu fullname: Liu, Yang email: yang.liu@liu.se organization: Institute of Physical Internet, Jinan University (Zhuhai Campus), Zhuhai, 519070, China – sequence: 5 givenname: Ting surname: Qu fullname: Qu, Ting organization: Institute of Physical Internet, Jinan University (Zhuhai Campus), Zhuhai, 519070, China
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Snippet	To save lives and reduce suffering of victims, the focus of this paper is to design the strategies of relief distribution regarding beneficiary perspective on...
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SubjectTerms	algorithms case studies decision making disasters earthquakes Genetic algorithm inventories mathematical models Multi-objective programming model Relief distribution supply chain sustainable development Sustainable disaster supply chain Victims' perceived satisfaction
Title	A novel multi-objective programming model of relief distribution for sustainable disaster supply chain in large-scale natural disasters
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