A Bivariate Maintenance Policy for Multi-State Repairable Systems With Monotone Process

被引:30
|
作者
Zhang, Mimi [1 ]
Xie, Min [1 ]
Gaudoin, Olivier [2 ]
机构
[1] City Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China
[2] Grenoble Univ, Lab Jean Kuntzmann, F-38041 Grenoble 9, France
关键词
Geometric process; multiple failure states; quasi-renewal process; sequential failure limit policy; OPTIMAL REPLACEMENT POLICY; IMPERFECT MAINTENANCE; MODEL;
D O I
10.1109/TR.2013.2285042
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a sequential failure limit maintenance policy for a repairable system. The objective system is assumed to have k +1 states, including one working state and k failure states, and the multiple failure states are classified potentially by features such as failure severity or failure cause. The system deteriorates over time and will be replaced upon the Nth failure. Corrective maintenance is performed immediately upon each of the first (N - 1) failures. To avoid the costly failure, preventive maintenance actions will be performed as soon as the system's reliability drops to a critical threshold R. Both preventive maintenance and corrective maintenance are assumed to be imperfect. Increasing and decreasing geometric processes are introduced to characterize the efficiency of preventive maintenance and corrective maintenance. The objective is to derive an optimal maintenance policy (R*, N*) such that the long-run expected cost per unit time is minimized. The analytical expression of the cost rate function is derived, and the corresponding optimal maintenance policy can be determined numerically. A numerical example is given to illustrate the theoretical results and the maintaining procedure. The decision model shows its adaptability to different possible characteristics of the maintained system.
引用
收藏
页码:876 / 886
页数:11
相关论文
共 50 条
  • [1] Maintenance and replacement policy for a repairable multi-state system with regular preventive repairs
    Wu, Wen-Feng
    Song, Jian-She
    Jiang, Ke-Xia
    Li, Hao
    Yang, Ying-Tao
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2015, 37 (06): : 1319 - 1324
  • [2] MULTI-STATE MODEL OF MAINTENANCE POLICY
    Knopik, Leszek
    Migawa, Klaudiusz
    EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY, 2018, 20 (01): : 125 - 130
  • [3] A repairable multi-state system with a general α-series process and an order-replacement policy
    Zuo, Kai
    Xiao, Mei
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2022, 51 (20) : 7021 - 7037
  • [4] Optimal design and maintenance of a repairable multi-state system with standby components
    Moghaddass, Ramin
    Zuo, Ming J.
    Pandey, Mayank
    JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2012, 142 (08) : 2409 - 2420
  • [5] Periodic Inspection Maintenance Policy with A General Repair for Multi-State Systems
    Lu, Zhao
    Chen, Maoyin
    Zhou, Donghua
    2015 CHINESE AUTOMATION CONGRESS (CAC), 2015, : 2116 - 2121
  • [6] Optimization of Multi-State Elements Replacement Policy for Multi-State Systems
    Liu, Yu
    Huang, Hong-Zhong
    ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM, 2010 PROCEEDINGS, 2010,
  • [7] Improved Availability Index for Repairable Fuzzy Multi-State Systems
    Chen, Guan-Liang
    Wang, Chun-Ho
    Huang, Chao-Hui
    IEEE ACCESS, 2020, 8 : 212927 - 212938
  • [8] Optimal Bivariate Order-Replacement Policies for a Multi-State Repairable System with Reliability Constraint
    Dong, Wenjie
    Liu, Chenyu
    Zhang, Jingru
    Xie, Naiming
    INTERNATIONAL JOURNAL OF RELIABILITY QUALITY AND SAFETY ENGINEERING, 2024, 31 (02)
  • [9] Reliability model of multi-state repairable systems with different repair effects
    Di, Peng
    Li, Fang
    Chen, Tong
    Binggong Xuebao/Acta Armamentarii, 2014, 35 (09): : 1488 - 1494
  • [10] Reliability Evaluation for Multi-State Markov Repairable Systems with Redundant Dependencies
    Wang, Liying
    Jia, Xujie
    Zhang, Jie
    QUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENT, 2013, 10 (03): : 277 - 289