He Xinhua, Hu Wenfa
School of Economics Management, Shanghai Maritime University, Shanghai 201306, China.
School of Economics and Management, Tongji University, Shanghai 200092, China.
ScientificWorldJournal. 2014 Feb 6;2014:195053. doi: 10.1155/2014/195053. eCollection 2014.
This paper presents a multiple-rescue model for an emergency supply chain system under uncertainties in large-scale affected area of disasters. The proposed methodology takes into consideration that the rescue demands caused by a large-scale disaster are scattered in several locations; the servers are arranged in multiple echelons (resource depots, distribution centers, and rescue center sites) located in different places but are coordinated within one emergency supply chain system; depending on the types of rescue demands, one or more distinct servers dispatch emergency resources in different vehicle routes, and emergency rescue services queue in multiple rescue-demand locations. This emergency system is modeled as a minimal queuing response time model of location and allocation. A solution to this complex mathematical problem is developed based on genetic algorithm. Finally, a case study of an emergency supply chain system operating in Shanghai is discussed. The results demonstrate the robustness and applicability of the proposed model.
本文提出了一种针对灾害大规模影响区域中不确定性下应急供应链系统的多重救援模型。所提出的方法考虑到大规模灾害引发的救援需求分散在多个地点；服务器分布在位于不同地点的多个层级（资源仓库、配送中心和救援中心站点），但在一个应急供应链系统内进行协调；根据救援需求的类型，一个或多个不同的服务器通过不同的车辆路线调配应急资源，并且应急救援服务在多个救援需求地点排队。这个应急系统被建模为一个位置与分配的最小排队响应时间模型。基于遗传算法开发了这个复杂数学问题的解决方案。最后，讨论了在上海运行的一个应急供应链系统的案例研究。结果证明了所提出模型的稳健性和适用性。
