A reliability index to measure multi-state flow network considering capacity restoration level and maintenance cost

被引:2
作者
Niu, Yi-Feng [1 ,2 ]
Zhou, Run -Hui [1 ]
Xu, Xiu-Zhen [1 ,2 ]
Xiang, Hai-Yan [1 ]
机构
[1] Chongqing Univ Posts & Telecommun, Sch Modern Posts, Chongqing 400065, Peoples R China
[2] Chongqing Univ Posts & Telecommun, Key Lab Big Data Intelligent Comp, Chongqing 400065, Peoples R China
关键词
Multi -state flow network; Reliability; Maintenance cost; Expected capacity level; STATE-SPACE DECOMPOSITION; STOCHASTIC-FLOW; SYSTEM RELIABILITY; MANUFACTURING NETWORK; IMPROVED ALGORITHM; BOUNDARY POINTS; LOGISTICS; EVALUATE;
D O I
10.1016/j.ress.2024.110209
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this study, every edge of a multi -state flow network (MFN), in addition to multiple capacities, are endowed with a maintenance cost. The existing studies measure the maintenance cost integrated reliability index of an MFN with an assumption that all edges are maintained to restore the network from a degraded state to the largest state, and in contrast, this study takes one step further to consider a more general case that the network is restored from a degraded state to an expected state (including but not limited to the largest state). This study proposes a method to simultaneously evaluate the index MR(d,D,T), defined as the probability that a network can be restored from a degraded state of capacity level below d to an expected state of capacity level not less than D and the maintenance cost is within a limit T, and the index URd defined as the probability that network is in a degraded state. The maintenance cost integrated reliability R(d,D,T) is then calculated, which is the ratio of MR(d,D,T) to URd denoting the ability of an MFN to restore from a failure state to an expected state under the limited maintenance cost. Numerical examples are presented to demonstrate the reliability index R(d,D,T).
引用
收藏
页数:10
相关论文
共 50 条
[31]   Reliability evaluation for a multi-commodity multi-state distribution network under transportation emission consideration [J].
Niu, Yi-Feng ;
Wang, Jun-Feng ;
Xu, Xiu-Zhen ;
Xu, Qian-Xin .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2025, 254
[32]   Simulation approaches for multi-state network reliability estimation: Practical applications [J].
Chang, Ping-Chen .
SIMULATION MODELLING PRACTICE AND THEORY, 2022, 115
[33]   Reliability of high-speed electric multiple units in terms of the expanded multi-state flow network [J].
Lin, Shuai ;
Jia, Limin ;
Zhang, Hengrun ;
Zhang, Pengzhu .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2022, 225
[34]   MC-reduction simulation approach with heuristic rules for reliability estimation in a multi-state flow network [J].
Chang, Ping-Chen ;
Huang, Cheng-Fu ;
Huang, Ding-Hsiang .
SIMULATION MODELLING PRACTICE AND THEORY, 2024, 130
[35]   Evaluation methodology for preventive maintenance in multi-state manufacturing systems considering different costs [J].
Dui, Hongyan ;
Yang, Xingju ;
Fang, Yining .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2023, 61 (23) :8309-8324
[36]   Simulation-based system reliability estimation of a multi-state flow network for all possible demand levels [J].
Chang, Ping-Chen ;
Huang, Ding-Hsiang ;
Huang, Cheng-Fu .
ANNALS OF OPERATIONS RESEARCH, 2024, 340 (01) :117-132
[37]   Maintenance Evaluation and Optimization of a Multi-State System Based on a Dynamic Bayesian Network [J].
Dahia, Zakaria ;
Bellaouar, Ahmed ;
Dron, Jean-Paul .
MANAGEMENT AND PRODUCTION ENGINEERING REVIEW, 2021, 12 (03) :3-14
[38]   A novel minimal cut-based algorithm to find all minimal capacity vectors for multi-state flow networks [J].
Huang, Ding-Hsiang ;
Huang, Cheng-Fu ;
Lin, Yi-Kuei .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2020, 282 (03) :1107-1114
[40]   System reliability for a multi-state distribution network with multiple terminals under stocks [J].
Cheng-Fu Huang .
Annals of Operations Research, 2022, 311 :117-130