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Optimal reliability–redundancy allocation of solar water pump power plant for farm

Author

Listed:
  • Shivani Choudhary

    (Graphic Era Deemed to Be University
    Greater Noida Group of Institutions, MBA Institute)

  • Nupur Goyal

    (Graphic Era Deemed to Be University)

  • Mangey Ram

    (Graphic Era Deemed to Be University)

  • Ashok Singh Bhandari

    (Graphic Era Deemed to Be University
    Shri Guru Ram Rai University)

  • Seema Saini

    (Graphic Era Deemed to Be University)

Abstract

The Reliability Redundancy Allocation Problem (RRAP) is a popular and important problem popular problem in reliability optimization. RRAP maximizes system reliability by assessing the redundancy and reliability variables in every subsystem with three constraints, namely, volume, cost, and weight. In this research, a solar water pump power plant for farms is developed in a series manner for RRAP. The reliability of the overall system is obtained by utilizing three metaheuristic algorithms i.e., Grew Wolf Optimization (GWO), Cuckoo Search (CS), and Hybrid of Grew Wolf Optimization and Cuckoo Search (HGWOCS). To evaluate the performance of a proposed system, the authors have compared the obtained results of each algorithm using tabular and graphical representations. The robustness of the hybrid GWO-CS is validated by the comparison among there algorithms where HGWOCS has achieved the maximum reliability 0.9723 for the proposed system.

Suggested Citation

  • Shivani Choudhary & Nupur Goyal & Mangey Ram & Ashok Singh Bhandari & Seema Saini, 2025. "Optimal reliability–redundancy allocation of solar water pump power plant for farm," 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. 16(7), pages 2539-2547, July.
    • Handle: RePEc:spr:ijsaem:v:16:y:2025:i:7:d:10.1007_s13198-025-02810-8
    DOI: 10.1007/s13198-025-02810-8
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