IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v16y2025i7d10.1007_s13198-025-02810-8.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-025-02810-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-025-02810-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Ouyang, Zhiyuan & Liu, Yu & Ruan, Sheng-Jia & Jiang, Tao, 2019. "An improved particle swarm optimization algorithm for reliability-redundancy allocation problem with mixed redundancy strategy and heterogeneous components," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 62-74.
    2. Sarita Devi & Deepika Garg, 2020. "Hybrid genetic and particle swarm algorithm: redundancy allocation problem," 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. 11(2), pages 313-319, April.
    3. Mostafa Abouei Ardakan & Mohammad Sima & Ali Zeinal Hamadani & David W. Coit, 2016. "A novel strategy for redundant components in reliability--redundancy allocation problems," IISE Transactions, Taylor & Francis Journals, vol. 48(11), pages 1043-1057, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zaretalab, Arash & Sharifi, Mani & Guilani, Pedram Pourkarim & Taghipour, Sharareh & Niaki, Seyed Taghi Akhavan, 2022. "A multi-objective model for optimizing the redundancy allocation, component supplier selection, and reliable activities for multi-state systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    2. Zhang, Hanxiao & Sun, Muxia & Li, Yan-Fu, 2022. "Reliability–redundancy allocation problem in multi-state flow network: Minimal cut-based approximation scheme," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    3. Pardis Roozkhosh & Vahideh Bafandegan Emroozi & Azam Modares, 2025. "A new model to design a product under redundancy allocation problem and MCDM," 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(1), pages 38-58, January.
    4. Li, Xiang-Yu & Li, Yan-Feng & Huang, Hong-Zhong, 2020. "Redundancy allocation problem of phased-mission system with non-exponential components and mixed redundancy strategy," Reliability Engineering and System Safety, Elsevier, vol. 199(C).
    5. Soheil Azizi & Milad Mohammadi, 2023. "Strategy selection for multi-objective redundancy allocation problem in a k-out-of-n system considering the mean time to failure," OPSEARCH, Springer;Operational Research Society of India, vol. 60(2), pages 1021-1044, June.
    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).
    7. Liu, Baoliang & Wen, Yanqing & Qiu, Qingan & Shi, Haiyan & Chen, Jianhui, 2022. "Reliability analysis for multi-state systems under K-mixed redundancy strategy considering switching failure," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    8. Shakuntla Singla & Komalpreet Kaur, 2024. "Using particle-based simplified swarm optimization to solve the cold-standby reliability of the gas turbine industry," 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(9), pages 4456-4465, September.
    9. Saeideh Sheikhpour & Amin Kargar-Barzi & Ali Mahani, 2022. "A novel component mixing and mixed redundancy strategy for reliability optimization," 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. 13(1), pages 328-346, February.
    10. Sangeeta Pant & Manoj K. Singh & Anuj Kumar & Shshank Chaube & Mangey Ram, 2025. "Modified Wild Horse Optimizer for system reliability-redundancy allocation problems with cold- standby redundancy strategy," 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(6), pages 2265-2279, June.
    11. Wang, Wei & Lin, Mingqiang & Fu, Yongnian & Luo, Xiaoping & Chen, Hanghang, 2020. "Multi-objective optimization of reliability-redundancy allocation problem for multi-type production systems considering redundancy strategies," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    12. Dobani, Ehsan Ramezani & Ardakan, Mostafa Abouei & Davari-Ardakani, Hamed & Juybari, Mohammad N., 2019. "RRAP-CM: A new reliability-redundancy allocation problem with heterogeneous components," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    13. Chunyan Ling & Jingzhe Lei & Way Kuo, 2024. "A sequential two-stage approach based on variational Bayesian inference for reliability-redundancy allocation," Journal of Risk and Reliability, , vol. 238(1), pages 136-157, February.
    14. 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).
    15. Yishuang Hu & Yi Ding & Zhiguo Zeng, 2022. "Redundancy optimization for multi-state series-parallel systems using ordinal optimization-based-genetic algorithm," Journal of Risk and Reliability, , vol. 236(1), pages 66-78, February.
    16. Hsieh, Tsung-Jung, 2021. "Component mixing with a cold standby strategy for the redundancy allocation problem," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    17. 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).
    18. 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).
    19. Abdossaber Peiravi & Mahdi Karbasian & Mostafa Abouei Ardakan, 2018. "K-mixed strategy: A new redundancy strategy for reliability problems," Journal of Risk and Reliability, , vol. 232(1), pages 38-51, February.
    20. Meera Sharma & Madhu Kumari & V. B. Singh, 2024. "Bug summary entropy based training candidates identification in cross project severity prediction," 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(3), pages 981-1014, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:16:y:2025:i:7:d:10.1007_s13198-025-02810-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.