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Optimal component sequence in heterogeneous 1-out-of-N mixed RRAPs

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  • Guilani, Pardis Pourkarim
  • Ardakan, Mostafa Abouei
  • Dobani, Ehsan Ramezani

Abstract

The present study revisits the reliability-redundancy allocation problem (RRAP), as the most important problem in the design phase of complex systems. It is investigated with heterogeneous components allowed, which makes it formidable to find the optimal component sequence in each subsystem. Furthermore, a mixed redundancy strategy is applied to subsystems whose reliability requires complicated and time-consuming calculations to determine. A Markov-based model is developed to address both these issues at a low computation cost. Finally, the proposed approach is implemented on two famous benchmark test problems. Results demonstrate that, compared to the previously reported solutions, the proposed approach yields much better structures with higher reliability values without increasing the cost or volume of the systems.

Suggested Citation

  • Guilani, Pardis Pourkarim & Ardakan, Mostafa Abouei & Dobani, Ehsan Ramezani, 2022. "Optimal component sequence in heterogeneous 1-out-of-N mixed RRAPs," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    • Handle: RePEc:eee:reensy:v:217:y:2022:i:c:s0951832021005925
    DOI: 10.1016/j.ress.2021.108095
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    Cited by:

    1. Peiravi, Abdossaber & Nourelfath, Mustapha & Zanjani, Masoumeh Kazemi, 2022. "Universal redundancy strategy for system reliability optimization," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    2. Li, Shuai & Chi, Xuefen & Yu, Baozhu, 2022. "An improved particle swarm optimization algorithm for the reliability–redundancy allocation problem with global reliability," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    3. Zhang, Jinchun & Lv, Hang & Hou, Jinxiu, 2023. "A novel general model for RAP and RRAP optimization of k-out-of-n:G systems with mixed redundancy strategy," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    4. Yeh, Wei-Chang, 2022. "BAT-based algorithm for finding all Pareto solutions of the series-parallel redundancy allocation problem with mixed components," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    5. Hsieh, Tsung-Jung, 2023. "A Q-learning guided search for developing a hybrid of mixed redundancy strategies to improve system reliability," Reliability Engineering and System Safety, Elsevier, vol. 236(C).

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