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RRAP-CM: A new reliability-redundancy allocation problem with heterogeneous components

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  • Dobani, Ehsan Ramezani
  • Ardakan, Mostafa Abouei
  • Davari-Ardakani, Hamed
  • Juybari, Mohammad N.

Abstract

In this paper, a new version of the reliability-redundancy allocation problem (RRAP) is introduced. In RRAPs, the reliability of the components used in a subsystem is considered as a decision variable and it is also assumed that all the redundant components in each subsystem have the same reliability value. The latter assumption is a restricting and unrealistic one. In this paper, the RRAP is for the first time investigated with the assumption of component mixing, which changes the traditional RRAP model to a more complicated heterogeneous one. A new mathematical model is developed and implemented on different benchmark test problems. Moreover, a powerful meta-heuristic algorithm, called stochastic fractal search (SFS), is used to solve the new mixed integer non-liner programing (MINLP) models. The advantages of the new RRAP model are demonstrated by comparing the results with those reported in the literature. Results reveal that in all the test problems, better structures with higher reliability values are obtained. The improvement values are also compared with improvements achieved in recent studies.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:reensy:v:191:y:2019:i:c:s0951832018311001
    DOI: 10.1016/j.ress.2019.106563
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    References listed on IDEAS

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    2. Peiravi, Abdossaber & Nourelfath, Mustapha & Zanjani, Masoumeh Kazemi, 2022. "Universal redundancy strategy for system reliability optimization," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
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    4. Petru Cașcaval & Florin Leon, 2022. "Optimization Methods for Redundancy Allocation in Hybrid Structure Large Binary Systems," Mathematics, MDPI, vol. 10(19), pages 1-33, October.
    5. 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).
    6. 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).
    7. Hsieh, Tsung-Jung, 2023. "Performance indicator-based multi-objective reliability optimization for multi-type production systems with heterogeneous machines," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    8. 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.
    9. Mellal, Mohamed Arezki & Al-Dahidi, Sameer & Williams, Edward J., 2020. "System reliability optimization with heterogeneous components using hosted cuckoo optimization algorithm," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    10. 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).
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    12. Nath, Rahul & Muhuri, Pranab K., 2022. "Evolutionary Optimization based Solution approaches for Many Objective Reliability-Redundancy Allocation Problem," Reliability Engineering and System Safety, Elsevier, vol. 220(C).

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