摘要
现代商业的发展使得物流建设成为烟草企业提高核心竞争力的重要手段之一,而在能源成本不断攀升的今天,合理规划配送车辆行驶路径以降低烟草企业的运行成本,是烟草企业物流管理有待解决的迫切问题。当前求解车辆路径问题的研究一般只局限于网点数目比较小的情况,而烟草物流配送却是网点数量较多的问题。为此,利用蚁群算法对烟草物流路径问题进行了探讨,仿真试验显示该方法能取得较好的结果。
With the development of modern commerce, logistics construction becomes a key factor for tobacco enterprises to enhance their core competitiveness. With the energy cost unceasingly chmbing, it is urgent to frame a reasonable vehicle routing to reduce the function cost of tobacco enterprises. The current research of vehicle muting question generally limits to the distribution among fewer nodes, but the tobacco delivery relates to much more nodes. In view of this, this article used the ant colony optimization to study the vehicle routing question of tobacco enterprises. The simulation experiment demonstrated that this method could obtain better results.
出处
《安徽农业科学》
CAS
北大核心
2009年第2期851-852,共2页
Journal of Anhui Agricultural Sciences
基金
贵州财经学院引进人才科研启动项目
关键词
烟草企业
车辆路径问题
蚁群算法
物流
Tobacco enterprise
Vehicle routing problem
Ant colony optimization
Logistics
