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System design optimization with mixed subsystems failure dependencies

Author

Listed:
  • Mohamed Arezki Mellal

    (LMSS/University M’Hamed Bougara, Boumerdes)

  • Enrico Zio

    (POLIMI - Politecnico di Milano [Milan], CRC - Centre de recherche sur les Risques et les Crises - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres)

  • Sameer Al-Dahidi

    (GJU - German Jordanian University)

  • Naoki Masuyama

    (Osaka Metropolitan University)

  • Yusuke Nojima

    (Osaka Metropolitan University)

Abstract

Systems present dependencies among their components failure behavior, which impact their ultimate availability. Previous works addressed the optimal design of systems in relation to its cost and under given availability constraint, considering identical subsystems failure dependencies. The present paper addresses this problem in a realistic scenario by taking into consideration mixed subsystems failure dependencies. The problem is formulated with reference to a complex bridge network system and a series-parallel system. Three nature-inspired optimization techniques are implemented to solve the problem, namely differential evolution (DE), manta ray foraging optimization (MRFO), and shuffled frog leaping algorithm (SFLA) with constraint handling. A numerical evaluation is performed; the results show that DE outperforms MRFO and SFLA.

Suggested Citation

  • Mohamed Arezki Mellal & Enrico Zio & Sameer Al-Dahidi & Naoki Masuyama & Yusuke Nojima, 2023. "System design optimization with mixed subsystems failure dependencies," Post-Print hal-04103840, HAL.
    • Handle: RePEc:hal:journl:hal-04103840
    DOI: 10.1016/j.ress.2022.109005
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    Cited by:

    1. Zhang, Zixuan & Yang, Lin & Xu, Youwei & Zhu, Ran & Cao, Yining, 2023. "A novel reliability redundancy allocation problem formulation for complex systems," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    2. Zhao, Yixin & Cozzani, Valerio & Sun, Tianqi & Vatn, Jørn & Liu, Yiliu, 2023. "Condition-based maintenance for a multi-component system subject to heterogeneous failure dependences," Reliability Engineering and System Safety, Elsevier, vol. 239(C).

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