吉林大学学报(信息科学版) ›› 2019, Vol. 37 ›› Issue (6): 658-663.

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军事融合式物流运输调度节点规划模型分析

刘晓刚,段志云   

  1. 陆军勤务学院军需采购系,重庆401331
  • 出版日期:2019-11-24 发布日期:2020-01-06
  • 作者简介:刘晓刚( 1995— ) ,男,河北邢台人,陆军勤务学院硕士研究生,主要从事军队采购、军事物流研究,( Tel) 86-18550489881( E-mail) liuxiaogang116611@163. com; 段志云( 1962— ) ,男,武汉人,陆军勤务学院教授,硕士生导师,主要从事军队采购、军事物流方面研究,( Tel) 86-13871162787( E-mail) 2973227553@ qq. com。
  • 基金资助:
    2016 年度全军军事类研究生基金资助项目( 2016JY495)

Analysis of Military Integrated Logistics Transportation Scheduling Node Planning Model#br#

LIU Xiaogang,DUAN Zhiyun   

  1. Department of Military Procurement,Army Logistics University,Chongqing 401331,China
  • Online:2019-11-24 Published:2020-01-06

摘要: 为有效提高军事融合式物流运输效率,从物流运输节点入手,设计一种新的物流运输调度节点规划模型。首先确定各节点物流需求,以需求子集的形式进行数字化模拟操作,通过确定需求子集,排除当前物流的独立需要; 通过对应匹配集进行需求聚类简化,确认当前节点的优先性特征; 根据聚类结果,对当前未指定物流顺序的物流节点和不存在的物流约束点进行排序; 根据约束条件,确定最佳物流路径,实现物流运输调度节点规划。实验结果表明,应用该节点规划模型后,军事融合式物流冲突率降低超过20%,无阻路径长度差距为37%,证明该模型可以有效提高物流效率,应用优势较强。

关键词: 物流运输, 运输节点, 调度, 需求子集, 约束条件

Abstract: In order to improve the efficiency of military integrated logistics transport,a new logistics transport scheduling node planning model is designed. Firstly,the logistics requirements of each node are determined,and the digital simulation operation is carried out in the form of a subset of the requirements. By determining the subset of the requirements,the independent needs of current logistics are excluded. Demand clustering is simplified by corresponding matching sets to confirm the priority characteristics of current nodes. According to the clustering results,the current logistics nodes with no designated logistics order and the non-existent logistics constraint points are sorted,and the optimal logistics path is determined according to the constraint conditions to achieve logistics transport scheduling node planning. The experimental results show that the conflict rate of military integrated logistics is reduced by more than 20% and the unimpeded path length gap is 37% after the application of the node planning model,which proves that the model can effectively improve the logistics efficiency and has strong application advantages.

Key words: logistics and transportation, transport node, scheduling, requirements subset, the constraint

中图分类号: 

  • TP399