系统工程与电子技术 ›› 2018, Vol. 40 ›› Issue (1): 98-105.doi: 10.3969/j.issn.1001-506X.2018.01.15

• 系统工程 • 上一篇    下一篇

基于选择性维修的装备战场抢修决策建模

曹文斌1, 贾希胜1, 胡起伟1, 苏续军2   

  1. 1. 军械工程学院装备指挥与管理系, 河北 石家庄 050003; 2. 军械工程学院火炮工程系, 河北 石家庄 050003
  • 出版日期:2018-01-08 发布日期:2018-01-08

Equipment battlefield damage assessment and repair decision-making modeling based on selective maintenance

CAO Wenbin1, JIA Xisheng1, HU Qiwei1, SU Xujun2   

  1. 1. Department of Management Engineering, Ordnance Engineering College, Shijiazhuang 050003, China; 2. Department of Artillery Engineering, Ordnance Engineering College, Shijiazhuang 050003, China
  • Online:2018-01-08 Published:2018-01-08

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摘要：

装备战场抢修决策是在战场条件下对损伤装备进行抢修决策的过程。针对传统战场抢修决策缺乏定量模型支持的问题,综合考虑抢修时限要求、抢修器材约束、复杂抢修过程等实际情况,基于选择性维修理论,建立了面向随机任务的战场抢修决策模型,为优化生成装备战场抢修方案提供决策模型支持。研究结果表明,选择性维修可有效解决多资源约束情况下面向任务的装备战场抢修决策问题;通过优化抢修任务分工,可缩短装备抢修时间,能有效提高资源利用率和装备任务可靠度。

Abstract:

Battlefield damage assessment and repair decision-making is a process of deciding the repair techniques of damaged equipments under battlefield condition. Considering the limited maintenance time, materials, and complicated maintenance process, a battlefield damage repair decision-making model for random mission based on selective maintenance is proposed, which provides the strong support for generating the optimal battlefield damage repair scheme. The results show that the selective maintenance can be used to solve the problem of mission-oriented battlefield damage assessment and repair decision-making subject to multiple resources constraints. Scheduling maintenance tasks optimally can make full use of the limited resources, reduce the maintenance time and improve mission reliability.

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