新一代信息技术背景下循环取货路径规划问题

Milk-Run Path Planning under the Background of New Generation Information Technology

随着新一代信息技术的进步,我国物流发展受限的局面迎来了新挑战.面对制造业独有的生产物流现象,在物流资源配置、物流网络拓扑结构方面、智能算法与反馈的路径优化手段均可帮助做出科学合理的配送方案.文章以汽车厂A在同城面对多目标、多车程汽车零部件循环取货的实际问题入手,以该厂实际运营需求和动态反馈作为依据,提出一种有助于循环取货速度提升、成本费用降低以及物流车辆造成城市内部交通压力得到缓解的智能路径规划的方法.

With the progress of new generation information technology,the limited situation of logistics development in China has ushered in new challenges.In the face of the unique production and logistics phenomenon of the manufacturing industry,in terms of logistics resource allocation,logistics network topology,intelligent algorithms and feedback path optimization means can help make scientific and reasonable distribution plans.The paper starts from the actual problems of the automobile factory A facing mufti-target and mufti-drive auto parts recycling in the same city,and based on the actual operation demand and dynamic feedback of the factory,proposes an intelligent path planning method that helps to improve the speed of circular pickup,reduce costs and expenses,and alleviate the traffic pressure in the city caused by logistics vehicles.