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兵工学报 ›› 2021, Vol. 42 ›› Issue (1): 192-198.doi: 10.3969/j.issn.1000-1093.2021.01.022

• 论文 • 上一篇    下一篇

装备伴随抢修任务分配决策方法

王少华1, 吕会强1, 董原生1, 张远2   

  1. (1.陆军装甲兵学院 装备保障与再制造系, 北京 100072; 2.陆军装备部 信息保障室, 北京 100072)
  • 上线日期:2021-03-11
  • 作者简介:王少华(1986—),男,讲师,博士。E-mail: aafe77330@163.com
  • 基金资助:
    军内科研项目(2018年)

Optimal Assignment of Accompanying Rush-repair Tasks of Equipment

WANG Shaohua1, L Huiqiang1, DONG Yuansheng1, ZHANG Yuan2   

  1. (1.Department of Equipment Support and Remanufacture, Army Academy of Armored Forces, Beijing 100072, China;2.Information Support Section, Army Equipment Department, Beijing 100072, China)
  • Online:2021-03-11

摘要: 针对陆军装备现地抢修任务强度大、抢修期短、力量分散的特点,提出多抢修组条件下装备战场伴随抢修的组织实施流程,并分析了多抢修组条件下装备伴随抢修决策优化问题。综合抢修任务总完成量和抢修耗时建立决策优化目标函数,以抢修时间为硬约束条件,建立了多抢修组装备伴随抢修决策优化模型。为解决高维决策空间求解难题,通过改进遗传算法确定了任务分配和抢修顺序联合决策求解方法。案例分析表明,该模型适于解决多抢修组伴随抢修任务分配和路线规划问题,求解算法具有一定的稳定性。

关键词: 伴随抢修, 抢修顺序, 决策优化, 遗传算法

Abstract: For the characteristics of field rush-repair of army equipment, such as high task intensity, short available time and distributed human resources, the organization and implementation procedure of battlefield accompanying rush-repair was proposed. The optimal selection and assignment of rush-repair tasks are discussed in considering multiple rush-repair teams. To solve the decision-making issue, the available repair time is taken as a hard constraint, and the objective function is brought forward according to the quantity of repaired equipment and consumed time, and then a decision-making model is built. Considering the problem brought by high dimensional decision-making space, a solving method is proposed by using genetic algorithm. The feasibility of the proposed model and the solving method was verified through case study.

Key words: accompanyingrush-repair, rush-repairsequence, optimaldecision-making, geneticalgorithm

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