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作 者:曹军海 刘振 胡亚俊 丁思源 CAO Junhai;LIU Zhen;HU Yajun;DING Siyuan(Army Armored Force Academy,Beijing 100071,China;Unit 92057 of PLA,Zhanjiang 524000,China)
机构地区:[1]陆军装甲兵学院,北京100071 [2]中国人民解放军92057部队,广东湛江524000
出 处:《指挥控制与仿真》2023年第6期28-35,共8页Command Control & Simulation
摘 要:针对合成部队装甲装备小修维修保障效益不高、维修人力资源配置随意性强以及资源运用不均衡和不合理的问题,以装甲装备为研究对象,对平时状态下依托维修车间开展装备小修的作业流程进行了任务和需求分析,以维修总工期最短和维修人员配置均衡度最高为优化目标,以维修工序中维修人员专业和数量要求为约束条件,构建装备小修作业流程的数学模型,然后针对维修工序顺序关系,提出一种带禁忌表的维修网络流程更新算法和考虑装备维修并行作业的遗传算法,对装备小修作业进行维修人力资源配置策略优化,并通过算例对该算法的合理性进行了验证。Aiming at the problems of low efficiency of minor repair and maintenance of military equipment in the synthetic force,strong randomness of maintenance human resource allocation,and unbalanced and unreasonable resource utilization,taking the armored equipment as the research object,this paper analyzes the task and demand of the operation process of relying on maintenance workshops to carry out equipment minor repairs in peacetime.The optimization goals are to minimize the total maintenance period and maximize the balance of maintenance personnel allocation,taking the professional and quantity requirements of maintenance personnel in the maintenance process as constraints,a mathematical model of the equipment minor repair operation process is constructed.And then aiming at the sequence relationship of maintenance procedures,a maintenance network process update algorithm with tabu table and a genetic algorithm considering equipment parallel maintenance operations are proposed to optimize the maintenance human resource allocation strategy for equipment minor maintenance operations.The example shows that the algorithm is reasonable and feasible.
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