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Optimal activation order vs. redundancy strategies in reliability optimization problems

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  • Ardakan, Mostafa Abouei
  • Talkhabi, Sajjad
  • Juybari, Mohammad N.

Abstract

The optimal activation order (OAO) is introduced as a new concept in reliability optimization problems (ROPs), which sharply contrasts with the conventional redundancy strategies. ROPs commonly comprise one of the four active, standby, Mixed, or K-Mixed redundancy strategies with varying numbers of active components and different times of activation for standby parts. The novel concept of OAO, in contrast, introduces the activation order/sequence of components as a trait with great flexibility that enables system designers to improve system reliability without having to manipulate system structure. The efficiency of this new concept is evaluated through its application to both a specific subsystem with five warm-standby components and a famous benchmark test problem. Results indicate the superiority of the proposed optimal activation order over all previous rival strategies.

Suggested Citation

  • Ardakan, Mostafa Abouei & Talkhabi, Sajjad & Juybari, Mohammad N., 2022. "Optimal activation order vs. redundancy strategies in reliability optimization problems," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    • Handle: RePEc:eee:reensy:v:217:y:2022:i:c:s0951832021005937
    DOI: 10.1016/j.ress.2021.108096
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    References listed on IDEAS

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    3. Sharifi, Mani & Taghipour, Sharareh & Abhari, Abdolreza, 2021. "Inspection interval optimization for a k-out-of-n load sharing system under a hybrid mixed redundancy strategy," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
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    7. Hadipour, Hassan & Amiri, Maghsoud & Sharifi, Mani, 2019. "Redundancy allocation in series-parallel systems under warm standby and active components in repairable subsystems," Reliability Engineering and System Safety, Elsevier, vol. 192(C).
    8. Peiravi, Abdossaber & Karbasian, Mahdi & Ardakan, Mostafa Abouei & Coit, David W., 2019. "Reliability optimization of series-parallel systems with K-mixed redundancy strategy," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 17-28.
    9. Abouei Ardakan, Mostafa & Rezvan, Mohammad Taghi, 2018. "Multi-objective optimization of reliability–redundancy allocation problem with cold-standby strategy using NSGA-II," Reliability Engineering and System Safety, Elsevier, vol. 172(C), pages 225-238.
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    Cited by:

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    3. Finkelstein, Maxim & Cha, Ji Hwan & Langston, Amy, 2022. "Optimal preventive switching of components in degrading systems," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
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    5. 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).
    6. 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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