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K-mixed strategy: A new redundancy strategy for reliability problems

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  • Abdossaber Peiravi
  • Mahdi Karbasian
  • Mostafa Abouei Ardakan

Abstract

This article presents a new redundancy strategy for system reliability optimization. The proposed strategy is a general form of a recently introduced strategy called “Mixed Strategy.†Adding parallel redundant component is a common approach in order to improve the reliability of a specific system. This approach is known as redundancy allocation problem. The redundancy allocation problem is a challenging issue for many researchers which has been subjected to investigation in this study. Generally, in the redundancy allocation problem, there are three redundancy strategies for using the redundant components: active, standby and mixed. The new emerging mixed strategy is a general form which involves both active and standby strategies. In this article, a general form of the mixed strategy called “K-mixed,†will be introduced and mathematical formulation for calculating the reliability of this new strategy will be presented. In order to evaluate the efficiency of the K-mixed strategy, a single specific subsystem with four components will be used and reliability of the subsystem will be computed by considering all three previous strategies and the new one. To have a better understanding about the performance of these four strategies, the effect of switch reliability and component reliability will be further examined.

Suggested Citation

  • 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.
  • Handle: RePEc:sae:risrel:v:232:y:2018:i:1:p:38-51
    DOI: 10.1177/1748006X17736166
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    References listed on IDEAS

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    1. 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.
    2. 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.
    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.
    4. 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.
    5. Rui Peng & Qingqinq Zhai & Liudong Xing & Jun Yang, 2016. "Reliability analysis and optimal structure of series-parallel phased-mission systems subject to fault-level coverage," IISE Transactions, Taylor & Francis Journals, vol. 48(8), pages 736-746, August.
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    Cited by:

    1. Wang, Wei & Wu, Zhiying & Xiong, Junlin & Xu, Yaofeng, 2018. "Redundancy optimization of cold-standby systems under periodic inspection and maintenance," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 394-402.
    2. 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).

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