摘要
针对系统处理大规模物流调度信息能力不足的情况,提出了一种基于云计算环境下的物流资源调度优化模型对问题进行求解。在云计算环境下处理订单信息、车辆调度信息,并针对所有订单生成最合理的配送方案,通过对物流主要资源配送车辆的调度研究,建立配送路径算法模型以及最小配送成本算法模型,作为物流资源调度方案的解决策略。通过仿真结果表明,该算法能有效处理大量的物流资源调度信息,同时缩短计算求解时间。
In this paper, we proposed an optimization model to solve the problem of the dispatching of logistics resources in cloudcomputation environment. More specifically, we proposed to process the order and vehicle dispatching information in cloud environment and in view of all the orders generate a most reasonable plan; and then through studying the major vehicles employed, establish the algorithm model for the distribution routing as well as minimum distribution cost. At the end, through a simulation example, we verified that such algorithm could greatly shorten computation time while effectively processin~ large ~uantitv of lo^stics resource disDatchinu information;
出处
《物流技术》
北大核心
2013年第5期339-341,386,共4页
Logistics Technology
基金
广西教育厅科研课题"基于资源共享的网络教学体系平台研究"(201106LX875)
关键词
云计算
优化算法
物流资源调度
cloud computation
optimization algorithm
logistics resource dispatching