期刊
COMPUTERS & INDUSTRIAL ENGINEERING
卷 135, 期 -, 页码 1145-1154出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2019.02.003
关键词
Emergency resource distribution; Sustainable rescue ability; Secondary disasters; Multi-objective three-stage stochastic; programming; Approximation
资金
- National Natural Science Foundation of China [71201093, 71571111, 71801143]
- Innovation Method Fund of China [2018IM020200]
- Shandong Province Natural Science Foundation [ZR2018QG001]
- Fundamental Research Funds of Shandong University [2018JC055]
- Qilu Young Scholars of Shandong University
- Tang Scholars of Shandong University
- Young Scholars Program of Shandong University [2018WLJH02]
To improve the sustainable rescue ability in emergency relief management, this paper addresses the emergency resource allocation problem by simultaneously considering primary and secondary disasters. A conditional probability based scenario tree is proposed to define the correlation between primary and secondary disasters. A multi-objective three-stage stochastic programming model to minimize transportation time, transportation cost and unsatisfied demand. An alternative single-objective model based on fuzzy auxiliary variables of membership is employed to cope with the multi-objective functions. To improve the computational tractability for large-scale cases, we propose an approximation single-stage stochastic programming by taking the worst-case scenario. Our results based on Wenchuan Earthquake show that the solution in this paper outperforms some normal ways. Moreover, by considering secondary disasters, we find that the sustainable rescue ability can be greatly improved than others only considering primary disasters.
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