考虑不完美维护的视情维修和备件订购联合策略优化

doi:10.12068/j.issn.1005-3026.2022.10.007

东北大学学报（自然科学版） ›› 2022, Vol. 43 ›› Issue (10): 1413-1421.DOI: 10.12068/j.issn.1005-3026.2022.10.007

考虑不完美维护的视情维修和备件订购联合策略优化

赵斐^1,2，李鑫¹，郭明¹

(1. 东北大学秦皇岛分校管理学院，河北秦皇岛066004; 2. 东北大学工商管理学院，辽宁沈阳110819)

修回日期:2021-05-18 接受日期:2021-05-18 发布日期:2022-11-07
通讯作者: 赵斐
作者简介:赵斐(1984-)，女，河北衡水人，东北大学副教授，博士.
基金资助:
国家自然科学基金资助项目(71701038，71601019，72271049)；河北省高等学校人文社会科学研究项目(BJS2022032)；河北省自然科学基金资助项目(G2019501074)；中央高校基本科研业务费专项资金资助项目(N2123019); 河北省“三三三人才工程”资助项目(C20221013).

Optimization of Joint Policy of Condition-Based Maintenance and Spare Part Ordering Considering Imperfect Maintenance

ZHAO Fei^1,2， LI Xin¹， GUO Ming¹

1. School of Management， Northeastern University at Qinhuangdao， Qinhuangdao 066004， China; 2. School of Business Administration， Northeastern University， Shenyang 110819， China.

Revised:2021-05-18 Accepted:2021-05-18 Published:2022-11-07
Contact: ZHAO Fei
About author:-
Supported by:
-

摘要/Abstract

摘要： 针对现有研究多关注维修策略优化而忽略备件采购决策问题，本文对单部件系统提出不完美维护下基于剩余寿命预测的视情维修和备件订购联合策略.采用控制限维修策略判断是否执行最小维修、预防性维护或故障更换，当系统退化达到预防性维护阈值时进行不完美维护，同时预测系统剩余寿命并引入预防性更换阈值和订购阈值，以决定是否执行预防性更换或者订购备件.综合考虑系统退化状态和备件状态，分析可能的更新事件进而计算各事件发生概率，并利用更新报酬理论构建费用-时间率联合决策模型.最后，设计离散事件仿真算法通过算例分析对状态检测周期、预防性维护阈值进行优化，验证模型和算法的有效性.

关键词: 视情维修;剩余寿命预测;备件订购;检测间隔;预防性维护

Abstract: Considering most studies focused on the maintenance policy optimization but neglected the ordering decision of spare parts， a joint policy of condition-based maintenance and spare part ordering under imperfect maintenance for single-component systems based on the remaining useful life(RUL)was proposed. The control limit policy was used to determine whether to perform minimal maintenance， preventive maintenance or corrective replacement. When the system degradation reaches the preventive maintenance threshold， the imperfect maintenance was carried out. Simultaneously， the RUL was predicted and the preventive replacement threshold and ordering threshold were introduced to decide whether to carry out preventive replacement or order spare parts. Considering the degradation state of systems and the state of spare parts， all the possible update events were analyzed to calculate the occurrence probability of each event， and the cost-time rate model of such a joint policy was constructed by using the renewal award theorem. Finally， the discrete event simulation algorithm was designed to optimize the detection interval and the imperfect maintenance threshold in a numerical example， and the effectiveness of the proposed model and algorithm was verified as well.

Key words: condition-based maintenance; remaining useful life(RUL); spare part ordering; detection interval; preventive maintenance

中图分类号:

TP20

赵斐，李鑫，郭明. 考虑不完美维护的视情维修和备件订购联合策略优化[J]. 东北大学学报（自然科学版）, 2022, 43(10): 1413-1421.

ZHAO Fei， LI Xin， GUO Ming. Optimization of Joint Policy of Condition-Based Maintenance and Spare Part Ordering Considering Imperfect Maintenance[J]. Journal of Northeastern University(Natural Science), 2022, 43(10): 1413-1421.

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考虑不完美维护的视情维修和备件订购联合策略优化

Optimization of Joint Policy of Condition-Based Maintenance and Spare Part Ordering Considering Imperfect Maintenance

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