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Fuzzy evaluation model for lifetime performance of electronic products with redundant backup systems

Author

Listed:
  • Kuen-Suan Chen

    (National Chin-Yi University of Technology
    Chaoyang University of Technology
    Asia University)

  • Chun-Min Yu

    (National Chin-Yi University of Technology)

  • Ruey-Chyn Tsaur

    (Tamkang University)

Abstract

Enhancing product quality and reliability can not only increase product value but also reduce rework and scrap rates and lengthen failure-induced maintenance schedules, thereby decreasing maintenance rates. When electronic products have no spare electronic components, their lifetime equals the lifetime of their components. With electronic components that have overly short lifespans on average, redundant backup systems are a way of increasing electronic product reliability. In other words, when spares are available for electronic components, in the case of failure the product can switch over to the spare immediately. This paper proposes an electronic product lifetime performance index with $$m - 1$$ m - 1 redundant backup electronic components. Then, we find a uniformly minimum variance unbiased estimator (UMVUE) for the proposed index. Furthermore, we develop for this index a uniformly most powerful (UMP) test and formulate a fuzzy testing approach based on its confidence interval. The proposed approach makes it convenient for the industry to evaluate and predominate improvement opportunities and increase product reliability so as to conserve energy and reduce carbon emissions.

Suggested Citation

  • Kuen-Suan Chen & Chun-Min Yu & Ruey-Chyn Tsaur, 2025. "Fuzzy evaluation model for lifetime performance of electronic products with redundant backup systems," Annals of Operations Research, Springer, vol. 349(1), pages 207-217, June.
    • Handle: RePEc:spr:annopr:v:349:y:2025:i:1:d:10.1007_s10479-023-05591-0
    DOI: 10.1007/s10479-023-05591-0
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    References listed on IDEAS

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    1. Wen-Chuan Lee & Jong-Wuu Wu & Ching-Wen Hong & Shie-Fan Hong, 2013. "Evaluating the Lifetime Performance Index Based on the Bayesian Estimation for the Rayleigh Lifetime Products with the Upper Record Values," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    2. Wen-Chuan Lee & Jong-Wuu Wu & Ching-Wen Hong & Shie-Fan Hong, 2013. "Evaluating the Lifetime Performance Index Based on the Bayesian Estimation for the Rayleigh Lifetime Products with the Upper Record Values," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-13, March.
    3. To-Cheng Wang & Chien-Wei Wu & Ming-Hung Shu, 2022. "A variables-type multiple-dependent-state sampling plan based on the lifetime performance index under a Weibull distribution," Annals of Operations Research, Springer, vol. 311(1), pages 381-399, April.
    4. Kuen-Suan Chen & Chun-Min Yu, 2022. "Lifetime performance evaluation and analysis model of passive component capacitor products," Annals of Operations Research, Springer, vol. 311(1), pages 51-64, April.
    5. J.N. Roul & K. Maity & S. Kar & M. Maiti, 2015. "Multi-item reliability dependent imperfect production inventory optimal control models with dynamic demand under uncertain resource constraint," International Journal of Production Research, Taylor & Francis Journals, vol. 53(16), pages 4993-5016, August.
    6. Chen, Kuen-Suan & Wang, Ching-Hsin & Tan, Kim Hua & Chiu, Shun-Fung, 2019. "Developing one-sided specification six-sigma fuzzy quality index and testing model to measure the process performance of fuzzy information," International Journal of Production Economics, Elsevier, vol. 208(C), pages 560-565.
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