• CN:11-2187/TH
  • ISSN:0577-6686

›› 2005, Vol. 41 ›› Issue (2): 97-101.

• 论文 • 上一篇    下一篇

基于多智能代理的装备动态优化调拨系统研究

周庆忠;曾慧娥   

  1. 解放军后勤工程学院军事油料应用与管理工程系
  • 发布日期:2005-02-15

RESEARCH ON THE SYSTEN OF EQUIPMENT’S DYNAMIC OPTIMAL ALLOTMENT BASED ON MULTI-AGENT

Zhou Qingzhong;Zeng Huie   

  1. Department of Oil Application & Management Engineering, Logistics Engineering University
  • Published:2005-02-15

摘要: 军事油料保障将面临如何组织动态联勤、如何重构保障体系与装备保障单元、如何安排调拨计划等问题。这就要求用装备动态优化调拨提供实时的油料保障。根据保障状态与保障目标对油料及其装备资源进行实时分配,在改善可能满足约束条件的前提下,通过下达装备调拨指令,达到最优的目标。因此,将多智能代理(Multi-agent)理论与方法引入到装备调拨领域,对装备动态优化调拨问题进行描述与求解,提出基于Multi-Agent的装备动态优化调拨系统体系结构,构造面向装备保障过程的各类智能代理(Agent)及其运行机制,建立了相应的装备动态优化调拨模型,并阐明了基于多智能代理的油料装备保障资源分布式管理,通过多个部队实际应用,解决了油料装备保障中的关键技术难题,对提高油料装备快速保障效率具有重要的理论指导和实际应用意义。

关键词: 调拨, 多智能代理, 优化, 装备

Abstract: POL(petroleum oil lubricants) support is faced with some problems, which is how to organize dynamic combined logistics, how to rebuild the support system and equipment unit, and how to arrange to allocate plan etc. This requests equipment’s dynamic optimal allotment system, which offers POL support in real time. According to the POL and equip-ment support’ target offers allotment in real time, it attain the superior target by improving satisfy conditional and instruction of equipment allotment. Therefore,using multi-agent theory and method in equipment allotment, this passage describes the problems of equipment’s dynamic optimal allotment and tries to solve it, and basing on multi-agent puts forward a structure of equipment’s dynamic optimal allotting system. It also constructs various kinds of agent and its operating mechanism facing to the process of equipment’s assuring, and sets up relevant models of equipment’s dynamic optimal allotment, explains the importance of distributed management of oil equipment’s assuring resources, which based on multi-agent. Some troopses apply it to solve the puzzel of equipment support, which to improve the efficiency of oil equipment’s fast assuring.

Key words: Allotment, Equipment, Multi-agent, Optimum

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