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A novel multi-objective programming model of relief distribution for sustainable disaster supply chain in large-scale natural disasters
Tianjin Univ, Peoples R China; Jinan Univ, Peoples R China.
Tianjin Univ, Peoples R China; Jinan Univ, Peoples R China.
Sichuan Normal Univ, Peoples R China.
Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. Jinan Univ, Peoples R China; Univ Vaasa, Finland.ORCID iD: 0000-0001-8006-3236
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2018 (English)In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 174, p. 1422-1435Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
ELSEVIER SCI LTD , 2018. Vol. 174, p. 1422-1435
Keywords [en]
Relief distribution; Sustainable disaster supply chain; Victims perceived satisfaction; Multi-objective programming model; Genetic algorithm
National Category
Applied Mechanics
Identifiers
URN: urn:nbn:se:liu:diva-145450DOI: 10.1016/j.clepro.2017.11.037ISI: 000424727100127OAI: oai:DiVA.org:liu-145450DiVA, id: diva2:1192902
Note

Funding Agencies|National Natural Science Foundation of China [71772075, 71672074, 71401118]; Twelfth Five-year Planning Project of Philosophy and Social Science in Guangdong Province [GD15CGL07]; Department of Education Project of Sichuan Province [14ZA0026]

Available from: 2018-03-23 Created: 2018-03-23 Last updated: 2018-03-23

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