GPS轨迹大数据在优化成品油配送路径中的应用

Application of GPS trajectory Big data in Optimizing the Distribution path of Refined Oil products

随着交通路网不断完善,出现了更多的油品配送路径,实时选择最优配送通道对于企业提高配送效率和控制物流成本至关重要。本文结合石油销售企业的实际物流情况和当前最新的技术手段,对成品油配送车辆GPS轨迹大数据在运距测量中的应用进行探讨,以提升运营效率和成本控制。结果显示,运用GPS轨迹大数据技术,可实现油品运输的智能化运距测量和实时监控,为后续销售企业开展智能配送、库存分析、全物流联动拓实基础数据,且降费效果显著。

With the continuous improvement of the traffic network,there are more oil distribution routes,so it is very important for enterprises to select the optimal distribution channel in real time to improve distribution efficiency and control logistics cost.In this paper,the application of GPS trajectory big data of refined oil distribution vehicles in distance measurement is discussed based on the actual logistics situation of petroleum sales enterprises and the latest technical means,to improve operational efficiency and cost control.The results show that the application of GPS trajectory big data technology can realize intelligent distance measurement and real-time monitoring of oil transportation,and carry out intelligent distribution,inventory analysis and full logistics linkage to expand basic data for subsequent sales enterprises,and achieve significant cost reduction effect.