不完美维修下的系统维护与库存联合决策模型  

Maintenance and Inventory Joint Decision Model for System Under Imperfect Maintenance

作　　者：任子强 胡昌华 王玺 REN Ziqiang;HU Changhua;WANG Xi(School of Missile Engineering,Rocket Force University of Engineering,Xi'an 710025,China)

机构地区：[1]火箭军工程大学导弹工程学院,西安710025

出　　处：《电光与控制》2020年第9期105-111,共7页Electronics Optics & Control

基　　金：国家自然科学基金(61833016,61573365)。

摘　　要：针对现有方法通常仅考虑单个设备的维护决策,而忽略了系统的维护策略和备件库存联合优化的问题,提出一种不完美维修下基于剩余寿命预测结果的系统维护与库存联合决策模型。首先,基于Wiener过程对受不完美维修影响的设备进行退化建模,进而推导出设备的剩余寿命概率分布;接着以检测间隔、预防性维修阈值、维修次数阈值和库存量为决策变量建立费用-时间率联合决策模型,实现了系统维护决策成本的优化;最后,通过数值仿真实验验证了所提方法相较于基于单一决策变量的方法维护成本降低了1.5%左右。In the existing methods,only the maintenance decision of a single device is taken into consideration,the maintenance strategy of the system and the joint inventory optimization of spare parts are neglected.The paper proposes a system's maintenance and inventory joint decision model based on remaining useful life prediction under imperfect maintenance.Firstly,based on the Wiener process,the degradation of the equipment affected by imperfect maintenance is modeled,and then the remaining useful life probability distribution of the equipment is derived.Secondly,the detection interval,the preventive maintenance threshold,the maintenance times threshold and the inventory are used as decision variables to establish a cost-time ratio joint decision model,which realizes the optimization of system's maintenance decision cost.Finally,numerical simulation experiments show that the maintenance cost of the proposed method is reduced by 1.5%,compared with that of the method based on a single decision variable.

关 键 词：不完美维修 WIENER过程 检测间隔 维修阈值 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]