联网中物流配送车辆调度目标定位设计与仿真

发布时间：2018-02-14 02:39

  本文关键词： 物联网 物流配送系统 智慧物流 车辆调度 路径规划　出处：《计算机仿真》2017年04期 　论文类型：期刊论文

【摘要】：在物流配送车辆调度的研究中,GPS/GIS技术的监控和调度系统功能多局限于实时定位、轨迹回溯和运行数据统计等方面,而利用和挖掘相关历史数据和实时信息进行配送车辆路径规划决策和动态调度却存在困难和不足。为了满足物流行业信息化和智能化的发展需求,设计了车联网环境下GPS/GIS协同物流配送车辆调度目标定位系统,并对车辆路径规划决策所需的相关数据类型、内容、来源和决策流程进行梳理和分析;同时,车辆目标定位系统实时获取的客户需求、配送车辆、配送节点和运行环境等相关信息对车辆调度和路径规划的影响,构建了带时间窗的动态车辆路径问题(DVRPTW)混合整数线性规划(MILP)模型,并在实验中通过混合遗传算法寻优对车辆配送路径进行动态调整和优化,最后,通过仿真验证了基于实时信息的车辆路径优化模型能够有效地降低企业运营成本,提高物流配送效率,改善物流服务质量。
[Abstract]:Research on logistics vehicle scheduling, function monitoring and scheduling system of GPS/GIS technology is limited to real-time positioning, trace back operation and data statistics and so on, and use and mining related historical data and real-time information delivery vehicle path planning and dynamic scheduling decision is difficult and insufficient. In order to meet the requirements of the development of logistics industry informatization and intelligent design, the car networking environment GPS/GIS collaborative logistics vehicle scheduling target positioning system, data types, and the vehicle path planning is required for making content, source and decision-making process of carding and analysis; at the same time, the vehicle location real-time acquisition system of customer demand, delivery vehicles, related information distribution node and operation environment of vehicle scheduling and path planning, establishes a dynamic vehicle routing problem with time windows (DVRPTW) mixed integer The number of linear programming (MILP) model, and the hybrid genetic algorithm for optimization of dynamic adjustment and optimization of vehicle routing in the experiment finally verified by simulation model of vehicle routing optimization of real-time information can effectively reduce the operation cost of the enterprise based, improve logistics efficiency, improve logistics service quality.

【作者单位】： 西北工业大学管理学院;
【基金】：国家自然科学基金资助项目(U1404702)
【分类号】：F252.1;TN929.5;TP391.44
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本文编号：1509687