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考虑多资源约束的多任务条件下装备选择性维修决策

马维宁1,胡起伟2,贾希胜1   

  1. 1. 陆军工程大学石家庄校区
    2. 军械工程学院
  • 收稿日期:2022-04-26 修回日期:2022-06-23 出版日期:2022-06-24 发布日期:2022-06-24
  • 通讯作者: 马维宁
  • 基金资助:
    全军军事类研究生资助课题(重点)

Equipment selective maintenance decision under multi-mission setting considering multiple resource constraints

  • Received:2022-04-26 Revised:2022-06-23 Online:2022-06-24 Published:2022-06-24

摘要: 战场环境下,任务间隔时间有限,如何在较短时间内恢复装备战斗力、提高任务可靠度是装备维修决策的重要问题。以装备连续执行多个任务为背景,综合考虑任务可靠度要求、可用度要求、维修人员技能水平等因素,以多任务间隔时间之和最小化为优化目标,建立装备选择性维修决策模型,采用遗传算法进行优化求解。结合算例,分析了任务可靠度要求、可用度要求、维修人员技能水平等因素对优化结果的影响。研究结果表明,所建模型和求解算法有效,能够为战场环境下装备维修决策问题提供理论指导和技术支持。

关键词: 选择性维修, 不完全维修, 多任务, 遗传算法, 可靠度

Abstract: In the battlefield environment, the mission interval is limited. How to restore equipment combat power and improve mission reliability in a short time is an important issue in equipment maintenance decision-making. Taking equipment continuously performing multiple missions as the background, comprehensively considering factors such as mission reliability requirement, availability requirement and the skill levels of maintenance personnel, an equipment selective maintenance decision-making model is established with the optimization goal of minimizing the sum of the multi-mission interval time, and genetic algorithm is utilized to obtain the solution. Combined with a numerical example, the influences of factors such as mission reliability requirement, availability requirement and the skill levels of mainte-nance personnel on the optimization results are analyzed. The results show that the established model and solution algorithm are effective, and it can provide theoretical guidance and technical support for equipment maintenance deci-sion-making in the battlefield environment.

Key words: selective maintenance, imperfect maintenance, multi-mission, genetic algorithm, reliability

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