期刊
ENGINEERING OPTIMIZATION
卷 54, 期 3, 页码 369-386出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/0305215X.2020.1862826
关键词
Reliability optimization; redundancy allocation; cold standby; components mixing
资金
- Ministry of Science and Technology, Taiwan [MOST 109-2222-E-150-004]
A new strategic model called RRAP-CM-MCCS is proposed in the study, utilizing simplified swarm optimization (SSO) to improve system reliability through a multi-role resource sharing strategy and save resources.
In this study, a new strategic model called Markov-based cold standby combined with components mixing (RRAP-CM-MCCS), is proposed to improve system reliability. The optimization method used here is simplified swarm optimization (SSO), in which SSO adopts a multi-role resource sharing strategy to provide the diverse system components required by RRAP-CM-MCCS. The diversity here lies in providing every component in a subsystem with its own failure rate as a decision variable in addition to determining the corresponding reliability of each component. Consequently, compared to the state-of-the-art results in the literature, not only can the system reliability be improved, but the combination of multiple configurations also enables relevant required resources to be saved.
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