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Fuzzy Evaluation of Process Quality with Process Yield Index

Author

Listed:
  • Kuen-Suan Chen

    (Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung 411030, Taiwan)

  • Chin-Chia Liu

    (Department of Industrial Education and Technology, National Changhua University of Education, Changhua 500207, Taiwan)

  • Chi-Han Chen

    (Department of Industrial Education and Technology, National Changhua University of Education, Changhua 500207, Taiwan)

Abstract

With the rapid development and evolution of the Internet-of-Things (IoT) and big-data analysis technologies, faster and more accurate production data analysis and process capability evaluation models will bring industries closer to the goal of smart manufacturing. Small sample sizes are also common, due to destructive testing, the high costs of detection, and insufficient technological capacity, and these undermine the reliability of the statistical method. Many studies have pointed out that a confidence-interval-based fuzzy decision model can incorporate accumulated data and expert experiences to increase testing accuracy for small samples. Therefore, this study came up with a confidence-interval-based fuzzy decision model based on a process yield index. The index not only reflects process capability but also has a one-to-one mathematical relation with the process yield so that it is convenient to apply in practice. The proposed model not only diminishes the probability of misjudgment resulting from sampling error but also improves the accuracy of testing under the situation of small sample sizes, thereby contributing to the development of smart manufacturing.

Suggested Citation

  • Kuen-Suan Chen & Chin-Chia Liu & Chi-Han Chen, 2022. "Fuzzy Evaluation of Process Quality with Process Yield Index," Mathematics, MDPI, vol. 10(14), pages 1-11, July.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:14:p:2514-:d:866495
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    References listed on IDEAS

    as
    1. Wang, Ching-Hsin & Chen, Kuen-Suan, 2020. "New process yield index of asymmetric tolerances for bootstrap method and six sigma approach," International Journal of Production Economics, Elsevier, vol. 219(C), pages 216-223.
    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. Hui-Chih Hung & Yu-Chih Chiu & Muh-Cherng Wu, 2017. "A Modified Lotka–Volterra Model for Diffusion and Substitution of Multigeneration DRAM Processing Technologies," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-12, May.
    4. Chun-Ming Yang & Kuen-Suan Chen, 2019. "Two-phase selection framework that considers production costs of suppliers and quality requirements of buyers," International Journal of Production Research, Taylor & Francis Journals, vol. 57(20), pages 6351-6368, October.
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    Cited by:

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    2. Kuo-Ching Chiou, 2023. "Building Up of Fuzzy Evaluation Model of Life Performance Based on Type-II Censored Data," Mathematics, MDPI, vol. 11(17), pages 1-12, August.

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