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• W2467728018 abstract "This study concentrates on optimizing a multi-state weighted k-out-of-n system consisting of different types of reparable components. An optimization model is developed to decide upon both optimal redundancy allocation and best maintenance activities for reliability allocation. The optimization model is to maximize system reliability and minimize system cost simultaneously. To reach this goal, a financial view has been employed to estimate the system reliability, and combine it with system cost. The proposed model determines the number of each component type in the system, and the maintenance actions and the time at which they should be applied. Also, the model is programmed by MATLAB, and Genetic Algorithm is used to solve a practical case." @default.
• W2467728018 created "2016-07-22" @default.
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• W2467728018 creator A5090073882 @default.
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• W2467728018 date "2016-07-01" @default.
• W2467728018 modified "2023-09-23" @default.
• W2467728018 title "A value-driven approach for optimizing reliability-redundancy allocation problem in multi-state weighted k-out-of-n system" @default.
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• W2467728018 doi "https://doi.org/10.1016/j.jmsy.2016.06.002" @default.
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