Journal
JOURNAL OF CLEANER PRODUCTION
Volume 174, Issue -, Pages 1422-1435Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2017.11.037
Keywords
Relief distribution; Sustainable disaster supply chain; Victims' perceived satisfaction; Multi-objective programming model; Genetic algorithm
Categories
Funding
- 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]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available