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Confidence-interval-based fuzzy supplier selection model with lifetime performance index

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)

Abstract

An electronic product usually contains numerous electronic components. To improve market competitiveness and operational flexibility, the electronics industry has begun to outsource electronic components. To help firms ensure that the lifetimes of procured electronic components meet market needs, this study proposes a fuzzy supplier selection model based on the confidence interval of the lifetime performance index proposed by (Chen and Yu, Annals of Operations Research 311:51–64, 2022). Under the assumption that the lifetime of an electronic component follows an exponential distribution, we derive the confidence intervals of the lifetime performance index for each supplier and use the confidence intervals of various suppliers to construct a fuzzy membership function. We propose a model based on this function to identify the optimal supplier. The fuzzy test incorporates historical data and expert experience to maintain evaluation accuracy in cases of small sample sizes. A numerical example is provided to demonstrate the efficacy of this method.

Suggested Citation

  • Kuen-Suan Chen & Chun-Min Yu, 2024. "Confidence-interval-based fuzzy supplier selection model with lifetime performance index," Annals of Operations Research, Springer, vol. 340(1), pages 133-147, September.
    • Handle: RePEc:spr:annopr:v:340:y:2024:i:1:d:10.1007_s10479-023-05566-1
    DOI: 10.1007/s10479-023-05566-1
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    References listed on IDEAS

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    1. 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.
    2. Mei-Fang Wu & Hsuan-Yu Chen & Tsang-Chuan Chang & Chih-Feng Wu, 2019. "Quality evaluation of internal cylindrical grinding process with multiple quality characteristics for gear products," International Journal of Production Research, Taylor & Francis Journals, vol. 57(21), pages 6687-6701, November.
    3. 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.
    4. Mou-Yuan Liao, 2015. "Assessing process incapability when collecting data from multiple batches," International Journal of Production Research, Taylor & Francis Journals, vol. 53(7), pages 2041-2054, April.
    5. Kun-Tzu Yu & Kuen-Suan Chen, 2016. "Testing and analysing capability performance for products with multiple characteristics," International Journal of Production Research, Taylor & Francis Journals, vol. 54(21), pages 6633-6643, November.
    6. Kuen-Suan Chen, 2022. "Fuzzy testing of operating performance index based on confidence intervals," Annals of Operations Research, Springer, vol. 311(1), pages 19-33, April.
    7. 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.
    8. 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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