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International Society of Science and Applied Technologies |
| Research on Hybrid Redundancy Allocation for Multi-Level Repairable Heterogeneous Systems with Interval Valued Reliability of Components | ||||
| Author | Xu Han
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| Co-Author(s) | Ilhan Chung; Qian Qian Zhao
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| Abstract | This paper studies a hybrid redundancy allocation problem (HRAP) for multi-level repairable heterogeneous systems (MLRHS) with interval valued reliability of components. The redundancy design for the units involves heterogenous units of different performance but the same type. For each failure path, assume that only one level (component or module) could be selected as the redundant object. This study focuses on the HRAP to optimize the steady-state availability (SSA) interval over a finite time span under the constraint of the mean cost. Firstly, we propose a steady-state availability simulation model of MLRHS based on the discrete event simulation method to obtain the interval value of steady-state availability of the MLRHS. Secondly, a memetic algorithm (MA) that combines particle swarm optimization (PSO) with local search (LS) strategy is developed to address HRAP. Next, we discussed the order relations of the interval valued numbers. To validate the effectiveness and efficiency of the proposed method, numerical case studies are conducted.
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| Keywords | multi-level heterogeneous systems; hybrid redundancy allocation; interval valued reliability; availability simulation; memetic algorithm | |||
| Article #: RQD2025-394 | ||||
Proceedings of 30th ISSAT International Conference on Reliability & Quality in Design |