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Reliability optimization of series-parallel systems with K-mixed redundancy strategy

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  • Peiravi, Abdossaber
  • Karbasian, Mahdi
  • Ardakan, Mostafa Abouei
  • Coit, David W.

Abstract

This paper revisits the redundancy allocation problem, a well-known problem in reliability optimization, and implements a novel redundancy strategy, called K-mixed, to improve system reliability. The K-mixed strategy is a general form of a mixed strategy. The mixed strategy is a combination of active and standby redundancy strategies which was introduced in 2014. Initially, the mathematical formulation for calculating the reliability of the K-mixed strategy is investigated and then its power and efficiency are evaluated against different test problems and a famous benchmark problem. In order to solve the proposed benchmark problem, an efficient genetic algorithm is developed and the results are compared with those reported elsewhere. It is found that the proposed K-mixed strategy results in higher reliability in most situations than would otherwise be achieved by its mixed counterpart. It is concluded that by using the K-mixed strategy in an optimization model, system designers have the opportunity to select the best strategy for each subsystem from among all the different strategies available to design systems with maximum reliability.

Suggested Citation

  • Peiravi, Abdossaber & Karbasian, Mahdi & Ardakan, Mostafa Abouei & Coit, David W., 2019. "Reliability optimization of series-parallel systems with K-mixed redundancy strategy," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 17-28.
    • Handle: RePEc:eee:reensy:v:183:y:2019:i:c:p:17-28
    DOI: 10.1016/j.ress.2018.11.008
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    References listed on IDEAS

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    1. Feizabadi, Mohammad & Jahromi, Abdolhamid Eshraghniaye, 2017. "A new model for reliability optimization of series-parallel systems with non-homogeneous components," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 101-112.
    2. Liang, Yun-Chia & Chen, Yi-Ching, 2007. "Redundancy allocation of series-parallel systems using a variable neighborhood search algorithm," Reliability Engineering and System Safety, Elsevier, vol. 92(3), pages 323-331.
    3. Abouei Ardakan, Mostafa & Zeinal Hamadani, Ali, 2014. "Reliability optimization of series–parallel systems with mixed redundancy strategy in subsystems," Reliability Engineering and System Safety, Elsevier, vol. 130(C), pages 132-139.
    4. Ouzineb, Mohamed & Nourelfath, Mustapha & Gendreau, Michel, 2008. "Tabu search for the redundancy allocation problem of homogenous series–parallel multi-state systems," Reliability Engineering and System Safety, Elsevier, vol. 93(8), pages 1257-1272.
    5. Gholinezhad, Hadi & Zeinal Hamadani, Ali, 2017. "A new model for the redundancy allocation problem with component mixing and mixed redundancy strategy," Reliability Engineering and System Safety, Elsevier, vol. 164(C), pages 66-73.
    6. Tavakkoli-Moghaddam, R. & Safari, J. & Sassani, F., 2008. "Reliability optimization of series-parallel systems with a choice of redundancy strategies using a genetic algorithm," Reliability Engineering and System Safety, Elsevier, vol. 93(4), pages 550-556.
    7. 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.
    8. Kayedpour, Farjam & Amiri, Maghsoud & Rafizadeh, Mahmoud & Shahryari Nia, Arash, 2017. "Multi-objective redundancy allocation problem for a system with repairable components considering instantaneous availability and strategy selection," Reliability Engineering and System Safety, Elsevier, vol. 160(C), pages 11-20.
    9. Valaei, M.R. & Behnamian, J., 2017. "Allocation and sequencing in 1-out-of-N heterogeneous cold-standby systems: Multi-objective harmony search with dynamic parameters tuning," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 78-86.
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