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Reliability and cost optimization of series–parallel system with metaheuristic algorithm

Author

Listed:
  • Shivani Choudhary

    (Graphic Era Deemed to be University)

  • Mangey Ram

    (Graphic Era Deemed to be University)

  • Nupur Goyal

    (Graphic Era Deemed to be University)

  • Seema Saini

    (Graphic Era Deemed to be University)

Abstract

This study looks into the numerous reliability aspects of a series–parallel system. The designed system is made up of the three subsystems A, B, and C that interconnected in a series–parallel manner. Subsystem B has two units, whereas subsystems A and C have a single unit. Here, the system reliability measures such as reliability, availability, and mean time to failure using Laplace transformation and Markov’s process are evaluated. This study deals with minimize cost while system having the maximum reliability as constraining from one of the metaheuristic algorithms i.e., Particle Swarm Optimization (PSO). Lastly, a numerical example and graphical representation has been shown that the proposed methods are effective and efficient for solving reliability measures and cost problems.

Suggested Citation

  • Shivani Choudhary & Mangey Ram & Nupur Goyal & Seema Saini, 2024. "Reliability and cost optimization of series–parallel system with metaheuristic algorithm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(4), pages 1456-1466, April.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:4:d:10.1007_s13198-023-01905-4
    DOI: 10.1007/s13198-023-01905-4
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    References listed on IDEAS

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    1. Qiu, Siqi & Ming, Henry X.G., 2019. "Reliability evaluation of multi-state series-parallel systems with common bus performance sharing considering transmission loss," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 406-415.
    2. H. Marouani, 2021. "Optimization for the Redundancy Allocation Problem of Reliability Using an Improved Particle Swarm Optimization Algorithm," Journal of Optimization, Hindawi, vol. 2021, pages 1-9, November.
    3. Aghaei, Jamshid & Muttaqi, Kashem M. & Azizivahed, Ali & Gitizadeh, Mohsen, 2014. "Distribution expansion planning considering reliability and security of energy using modified PSO (Particle Swarm Optimization) algorithm," Energy, Elsevier, vol. 65(C), pages 398-411.
    4. Xiaoliang Ling & Yazhou Zhang & Yu Gao, 2021. "Reliability optimization in series-parallel and parallel-series systems subject to random shocks," Journal of Risk and Reliability, , vol. 235(6), pages 998-1008, December.
    5. Lin Xie & Mary Ann Lundteigen & Yiliu Liu, 2020. "Reliability and barrier assessment of series–parallel systems subject to cascading failures," Journal of Risk and Reliability, , vol. 234(3), pages 455-469, June.
    6. Peiravi, Abdossaber & Ardakan, Mostafa Abouei & Zio, Enrico, 2020. "A new Markov-based model for reliability optimization problems with mixed redundancy strategy," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
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