Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Yi-Feng Niu"'
Publikováno v:
IEEE Access, Vol 8, Pp 133161-133169 (2020)
A major performance index for analyzing a stochastic transport network is the two-terminal capacity reliability Rd, defined as the probability that d units of goods can be successfully transported via stochastic arc capacities from the source to the
Externí odkaz:
https://doaj.org/article/5fc9c7249b0144ccb846ab1bb18b9a89
Publikováno v:
Complexity, Vol 2020 (2020)
Most of modern technological networks that can perform their tasks with various distinctive levels of efficiency are multistate networks, and reliability is a fundamental attribute for their safe operation and optimal improvement. For a multistate ne
Externí odkaz:
https://doaj.org/article/8f038c0620fd4673874668e2ff662cbe
Publikováno v:
Complexity, Vol 2019 (2019)
A number of real-world complex networks can be modeled as multistate networks for performance analysis. A multistate network consists of multistate components and possesses multiple different performance levels. For such a network, reliability is con
Externí odkaz:
https://doaj.org/article/c52f017e86dd49d7974b7fd6263eca26
Publikováno v:
Complexity, Vol 2018 (2018)
This paper focuses on performance assessment of a freight network with stochastic capacities by using reliability analysis, in which a node denotes a supplier, a transfer center, a distribution center, or a market, while an arc denotes a logistics se
Externí odkaz:
https://doaj.org/article/f76c61e13a674f5596286bfc4ee79e0e
Publikováno v:
IEEE Transactions on Reliability. :1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee67695ed0a5e4faa5018194bed62022
https://doi.org/10.1109/tr.2023.3244955
https://doi.org/10.1109/tr.2023.3244955
Publikováno v:
Annals of Operations Research. 309:189-208
The fundamental mission of a distribution network is to satisfy the customer demand by providing sufficient delivery capacity. However, the capacity of a distribution network is practically stochastic because of unexpected events, and moreover, the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f3afc3df9d9849291c9fc41475bbc5f
https://doi.org/10.1007/s10479-021-04322-7
https://doi.org/10.1007/s10479-021-04322-7
Publikováno v:
Complexity, Vol 2020 (2020)
Most of modern technological networks that can perform their tasks with various distinctive levels of efficiency are multistate networks, and reliability is a fundamental attribute for their safe operation and optimal improvement. For a multistate ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cd6e3cf4954db18a842cd81cc498b2d
https://doi.org/10.1155/2020/8060794
https://doi.org/10.1155/2020/8060794
Autor:
Yi-Feng Niu, Xiu-Zhen Xu
Publikováno v:
IEEE Transactions on Reliability. 69:1064-1076
Reliability evaluation is a useful tool for network performance demonstration, and therefore has become an increasingly relevant task in network design and operation. The multistate minimal cut (called d -MC for short) method is a popular algorithm f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1075cbee4a94eb1a8da029007669e5e
https://doi.org/10.1109/tr.2019.2935630
https://doi.org/10.1109/tr.2019.2935630
Publikováno v:
IEEE Access, Vol 8, Pp 133161-133169 (2020)
A major performance index for analyzing a stochastic transport network is the two-terminal capacity reliability Rd, defined as the probability that d units of goods can be successfully transported via stochastic arc capacities from the source to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0c92839ce0108cff15bd257eeb31c93
https://ieeexplore.ieee.org/document/9144566/
https://ieeexplore.ieee.org/document/9144566/
Publikováno v:
Reliability Engineering & System Safety. 230:108952
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fdd4cb569fea0b6dd91f132ef79583c
https://doi.org/10.1016/j.ress.2022.108952
https://doi.org/10.1016/j.ress.2022.108952