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Reliability analysis of non-repairable weighted k -out-of- n system using belief universal generating function

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  • Namita Jaiswal
  • Seema Negi
  • S.B. Singh

Abstract

In this study reliability analysis of non-repairable weighted k-out-of-n: G (F) systems by incorporating uncertainties namely aleatory and epistemic have been considered. To remove these uncertainties the combination of mass distribution, fuzzy exponential distribution and belief universal generating function have been used. The failure rate (λ) of each component is taken as trapezoidal fuzzy number. Using the proposed method fuzzy reliability function of each component have been calculated and then distributed masses among the components. With the help of these masses reliability and MTTF of the proposed system have been obtained. Lastly, a numerical example is taken to understand the proposed method.

Suggested Citation

  • Namita Jaiswal & Seema Negi & S.B. Singh, 2018. "Reliability analysis of non-repairable weighted k -out-of- n system using belief universal generating function," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 28(3), pages 300-318.
    • Handle: RePEc:ids:ijisen:v:28:y:2018:i:3:p:300-318
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    Cited by:

    1. Zhou, Xiaojun & Shi, Kailong, 2019. "Capacity failure rate based opportunistic maintenance modeling for series-parallel multi-station manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 46-53.

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