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

作　　者：张慧 宋少忠 安毅 辛刚 钟天择 ZHANG Hui;SONG Shao-zhong;AN Yi;XIN Gang;ZHONG Tian-ze(College of Information Technology,Changchun Automobile Industry Institute,Changchun 130013,China;College of Data Science and Artificial Intelligence,JiLin Engineering Normal University,Changchun 130052,China;College of Electrical and Information Engineering,JiLin Engineering Normal University,Changchun 130052,China;Jilin Business and Technology College,College of Engineering,Changchun 130062,China;School of Management,Jilin University,Changchun 130012,China)

机构地区：[1]长春汽车工业高等专科学校信息技术学院,长春130013 [2]吉林工程技术师范学院数据科学与人工智能学院,长春130052 [3]吉林工程技术师范学院电气与信息工程学院,长春130052 [4]吉林工商学院工学院,长春130062 [5]吉林大学管理学院,长春130012

出　　处：《白城师范学院学报》2022年第5期28-33,共6页Journal of Baicheng Normal University

基　　金：吉林省教育厅“十二五”科学技术研究项目“时序网络中VSP问题研究”(2012377);吉林省教育厅“十二五”科学技术研究项目“应急物流资源调配和路线选择问题研究”(2013394);吉林省职业教育与成人教育教学改革研究课题“‘双高’背景下新一代信息技术专业群建设研究”(2022ZCY165)。

摘　　要：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.

关 键 词：新一代信息技术 循环取货 动态反馈 最优配送方案 

分 类 号：F252[经济管理—国民经济]