基于GIS的快递调度系统应用研究
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摘要
随着快递物流行业竞争的愈发激烈,提高企业效率,降低运营成本已经成为物流企业的首要问题。为解决快递配送过程中的车辆调度问题,根据快递车辆的相关调度原则,以及车辆路径优化的数学模型,提出了基于GIS的车辆调度和线路优化算法,以提高快件派送的效率。重点讲述了车辆路径问题的求解算法,并将蚁群算法应用到车辆的配送过程中,从管理层面为快递企业降低生产成本,实现快件的及时配送,提高企业效率。
With the increasingly fierce competition in the express industry,the top issue of express companies is how to improve efficiency and reduce the operating cost. In order to solve the problem of vehicle dispatching in express delivery process,a GIS-based vehicle scheduling and line optimization algorithm is proposed. In this process,the dispatching principle of express delivery vehicles and mathematical model is used to find the optimized vehicle path. At the same time,using the information generated in the distribution of the information of routes,users,and goods,this paper proposes a logistics-distribution center location problem based on big data,from the management level. It can reduce production costs for express delivery companies,achieve timely delivery of shipments,and increase business efficiency.
With the increasingly fierce competition in the express industry,the top issue of express companies is how to improve efficiency and reduce the operating cost. In order to solve the problem of vehicle dispatching in express delivery process,a GIS-based vehicle scheduling and line optimization algorithm is proposed. In this process,the dispatching principle of express delivery vehicles and mathematical model is used to find the optimized vehicle path. At the same time,using the information generated in the distribution of the information of routes,users,and goods,this paper proposes a logistics-distribution center location problem based on big data,from the management level. It can reduce production costs for express delivery companies,achieve timely delivery of shipments,and increase business efficiency.
引文
[1]杜艳.我国快递业对国民经济增长作用机制研究[D].北京邮电大学,2013.
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[7]贾燕花.蚁群算法在旅行商问题(TSP)中的应用研究磁[J].计算机与数字工程,2016,(9):1664-1667.
[8]黄华升,张波.混合遗传模拟退火算法求解旅游线路优化问题[J].软件工程,2017,(11):21-23.
[9]赵建峰,梁伯栋.物流车辆调度一般模型及启发式算法求解现状及研究方向[J].物流技术,2017,(12):119-123.
[10]黄万艮.多目标路的扩展Dijstra算法[J].计算技术与自动化,2004,(4):31-33.
[11]李帅鑫,李广云,周阳林,等.改进的单目视觉实时定位与测图方法[J].仪器仪表学报,2017,(11):2849-2857.
[12]金洋,吕金阳,谭小彬.命名数据网络中VIP转发方案的性能优化[J].重庆邮电大学学报(自然科学版),2018,(1):75-81.
[13]吕炳浩. T市快递市场管理存在的问题与对策研究[D].沈阳师范大学,2015.
[14]刘建华,杨建国,刘华平,等.基于势场蚁群算法的移动机器人全局路径规划方法[J].农业机械学报,2015,46(09):18-27.
[15]刘芳,张云洋.基于像素邻域点信息的藏文图像细化算法研究[J].计算机技术与发展,2018,(4):21-24
[2]伦墨华,刘倩,刘宏伟.生鲜电商的快递模式分析——以顺丰优选为例[J].电子商务,2018,(4):1-2,4.
[3]李方静,张静.信任、行业契约密集度与企业效率[J].产经评论,2017,(4):39-49.
[4]邵赛.纯电动物流车运营特性分析及配送路径优化问题研究[D].北京交通大学,2017.
[5]黄晓君,包玉海,朝鲁门.公路最佳路径GIS选线方法[J].测绘科学,2015,40(07):136-141.
[6]于宝琴,武淑萍,杜广伟.网购快递物流服务系统测评的枝模型仿真[C].天津财经大学,2013:696-702.
[7]贾燕花.蚁群算法在旅行商问题(TSP)中的应用研究磁[J].计算机与数字工程,2016,(9):1664-1667.
[8]黄华升,张波.混合遗传模拟退火算法求解旅游线路优化问题[J].软件工程,2017,(11):21-23.
[9]赵建峰,梁伯栋.物流车辆调度一般模型及启发式算法求解现状及研究方向[J].物流技术,2017,(12):119-123.
[10]黄万艮.多目标路的扩展Dijstra算法[J].计算技术与自动化,2004,(4):31-33.
[11]李帅鑫,李广云,周阳林,等.改进的单目视觉实时定位与测图方法[J].仪器仪表学报,2017,(11):2849-2857.
[12]金洋,吕金阳,谭小彬.命名数据网络中VIP转发方案的性能优化[J].重庆邮电大学学报(自然科学版),2018,(1):75-81.
[13]吕炳浩. T市快递市场管理存在的问题与对策研究[D].沈阳师范大学,2015.
[14]刘建华,杨建国,刘华平,等.基于势场蚁群算法的移动机器人全局路径规划方法[J].农业机械学报,2015,46(09):18-27.
[15]刘芳,张云洋.基于像素邻域点信息的藏文图像细化算法研究[J].计算机技术与发展,2018,(4):21-24