应急物流是一项针对突发性因素以解决物流需求点应急程度为目的的物流活动,其完善和发展对解决物流系统中资源优先配置的问题具有重要意义。由于应急物流具有突发且不可预知、随机、时间紧迫等区别于一般物流的特点,所以预测物流系统中物流节点的应急程度是一个重要问题。文中在研究物流节点应急程度的基础上,分析了基于物质扩散的推荐算法实现机理,构建物流随机网络和物质扩散模型,并通过java语言模拟物质扩散过程得到各个物流节点应急程度的排序并产生推荐列表,进而研究在物流网络中应急资源始发点对终点的优先应急程度,得到各个始发点的最优先应急点,从而为物流网络中终点的选择提供方法,该方法在应急物流点的优先选择问题上具有应用价值和实践意义。
Emergency logistics is a field of sudden factors in order to solve some emergency demand for the purpose of logistics activities; Its' improvement and development are of great significance to solve the problem of the resource priority allocation. Since the emergency logistics have many characteristics,such as unpredictability,randomness and urgency,which are really different from the general logistics. Henceforth,predicting the emergency logistics nodes is an important issue. This paper,based on the research of emergency logistics,analyzed the mechanism of substance diffusion algorithm via the recommender systems,and built logistics random networks and mass diffusion model. With various emergency logistics nodes sorted in descending order,the paper simulated mass diffusion process and generated recommendation lists by java program.Furthermore,the paper explored the emergency resources' priority from starting points to destination points in the logistics network,and achieved the highest prior destination point. Thus a method of destination point selection n the logistics network is provided,which has applicable value and practical significance in the emergency logistics.