摘要
预先优化社会帐篷募集点选址,有助于地震等灾难期间有效征集社会帐篷开展救援工作。研究不同地震场景下社会帐篷募集点预选址问题,以最小化经济成本和时间成本为目标,建立双层随机规划模型,确定社会帐篷募集点选址方案。考虑模型中权重等参数的影响,设计五种实验,并对实验结果进行讨论。通过实际算例,以上海浦东新区为背景,以23个省份作为不同地震场景,验证模型的实用性。最后考虑雅安地震,分析确定场景下参数对结果的影响。
Pre-positioning facilities for collecting tents held by communities is helpful to improve the efficacy of tents collection in post-earthquake relief.A problem for pre-positioning facilities that collect the tents held by commnities considering various earthquake scenarios was studied.A bi-stage stochastic programming model was formulated for the facility location problem.The model aimed at minimizing economic costs and time-related costs.Considering the effects of weights and other parameters on the solutions,five experiments were performed and analyzed.A case was used to verify the practicability of the developed model that located the facilities of tents collection from communities in Pudong New District,Shanghai.Finally,a scenario based on Ya＇an earthquake was used to analyze the influence of parameters on the solution under such a certain scenario.
出处
《计算机应用》
CSCD
北大核心
2014年第4期1196-1200,1212,共6页
journal of Computer Applications
基金
国家自然科学基金资助项目(71101088
71171129)
上海市教委科研创新项目(14YZ100)
博士点基金资助项目(20113121120002)
上海市科委项目(11510501900
12ZR1412800
12510501600)
关键词
应急物流
选址问题
随机规划
不确定场景
emergency logistics
location problem
stochastic programming
uncertain scenario
