摘要
在城市突发公共事件应急体系中,应急物流管理对于提高应急响应能力、节约救援时间、降低生命财产损失具有重要的作用.本文结合应急物流的特征,研究了应急需求稀少和应急需求密集两种情况下的系统期望时间.通过对mSQM策略和TSP策略的渐近性分析,可以发现,当应急需求稀少时,mSQM策略可作为最优调度策略;当应急需求密集时,TSP策略尽管不是最优调度策略,但简单易行.
Emergency logistics management is an important part in emergency planning system of metropolises, which plays indispensable roles in improving event reaction ability, saving rescue time and reducing property losses. Combined with characteristics of emergency logistics, mean system times under sparse requests and heavy requests are analyzed in the paper. Analysis of the asymptotic property of mSQM policy and TSP policy showed that mSQM policy is an optimal policy under conditions of sparse requests, while TSP policy is non-optimal under conditions of heavy requests, though the policy is simple and convenient in operation.
出处
《西南大学学报（自然科学版）》
CAS
CSCD
北大核心
2007年第3期151-155,共5页
Journal of Southwest University(Natural Science Edition)
基金
中国博士后科研基金(项目编号:20060390225)
关键词
应急物流
车辆调度
渐近分析
emergency logistics
vehicle dispatching
asymptotic analysis
