Reliability, availability, and maintainability modeling of multi-state systems with load-sharing structure

被引:0
|
作者
Farsi M.A. [1 ]
机构
[1] Aerospace Research Institute, Ministry of Science, Research and Technology, Tehran
来源
Journal of Computational and Applied Research in Mechanical Engineering | 2023年 / 13卷 / 01期
关键词
Load-sharing; Maintenance policy; Multi-state system; Reliability; Spare part inventory management;
D O I
10.22061/jcarme.2022.7962.2059
中图分类号
学科分类号
摘要
The reliability of manufacturing systems modeling and analysis is a complex process. Usually, their behavior is similar to multi-state systems. The configurations of such systems, possibly with load sharing and other structural dependencies, are designed to provide high reliability/availability. Consequently, this scheme can help companies to improve efficiency and reduce operating costs. Maintenance and part replacement are implemented during operation and utilization to keep their performance. Decision-making about spare ordering is difficult because of the interconnection between spare parts inventory and maintenance strategy. In this paper, the characteristic parameters of spare parts inventory management and maintenance policies are jointly considered for multi-machine systems (manufacturing systems) with different types of dependencies among them (economic, load-sharing, and multi-state configuration). Two maintenance policies are considered: condition-based and preventive maintenance. The interactions between maintenance policies and spare parts management are considered for determining a manufacturing system’s cost and availability. The influence of these factors is investigated. Load sharing factor and ordering time are more important, and their influence is higher than others. © 2023 The author(s).
引用
收藏
页码:39 / 53
页数:14
相关论文
共 50 条
  • [1] Reliability Assessment for Multi-State Systems Under A Dynamic Load-Sharing Strategy
    Zhang, Xiaohu
    Xiu, Renqiang
    Chen, Chujie
    Liu, Yu
    PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON QUALITY, RELIABILITY, RISK, MAINTENANCE, AND SAFETY ENGINEERING (QR2MSE), VOLS I-IV, 2013, : 367 - 371
  • [2] Reliability Modeling of Infrastructure Load-Sharing Systems With Workload Adjustment
    Sun, Qiuzhuang
    Ye, Zhi-Sheng
    Revie, Matthew
    Walls, Lesley
    IEEE TRANSACTIONS ON RELIABILITY, 2019, 68 (04) : 1283 - 1295
  • [3] Parameter estimation for the reliability of load-sharing systems
    Park, Chanseok
    IIE TRANSACTIONS, 2010, 42 (10) : 753 - 765
  • [4] Reliability Modeling of Bridge Structure System with Load-Sharing Taking into Account
    Lobur, Mykhaylo
    Shcherbovskykh, Serhiy
    Stefanovych, Tetyana
    2016 XII International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH), 2016, : 87 - 89
  • [5] Reliability of multi-state systems with common bus performance sharing
    Levitin, Gregory
    IIE TRANSACTIONS, 2011, 43 (07) : 518 - 524
  • [6] Reliability evaluation of power systems with multi-state warm standby and multi-state performance sharing mechanism
    Jia, Heping
    Liu, Dunnan
    Li, Yanbin
    Ding, Yi
    Liu, Mingguang
    Peng, Rui
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2020, 204
  • [7] Modeling Failure Risks in Load-Sharing Systems With Heterogeneous Components
    Pesch, Tim Michael
    Cramer, Erhard
    Cripps, Edward
    Polpo, Adriano
    IEEE TRANSACTIONS ON RELIABILITY, 2024, 73 (03) : 1446 - 1458
  • [8] A Study of Reliability of Multi-State Systems with Two Performance Sharing Groups
    Peng, Rui
    Liu, Hanlin
    Xie, Min
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2016, 32 (07) : 2623 - 2632
  • [9] Dynamic reliability evaluation of multi-performance sharing and multi-state systems with interdependence
    Jia, Heping
    Lu, He
    Peng, Rui
    Gao, Kaiye
    COMPUTERS & INDUSTRIAL ENGINEERING, 2025, 202
  • [10] Reliability Evaluation of Multi-State Systems With Common Bus Performance Sharing Considering Performance Excess
    Bai, Guoqing
    Chi, Yuanying
    Gao, Kaiye
    Peng, Rui
    IEEE ACCESS, 2022, 10 : 19174 - 19185