在顯示器面板技術成熟的環境下，為企圖提升生產研發過程中的良率且同時降低生產的成本，我們針對顯示器面板前端製程-Array CVD進行生產過程研究，目的為主要提升生產中的良率並且同時研發出新製程產品。

但為了達到研究目的，由研究者先行分析出生產過程中的潛在失效因子後，接著，同時針對缺失做出建議措施。其中，會針對Mura彙整出經常發生之原因，分別為Array生產過程中玻璃表面殘有髒汙以及絕緣物所表現厚度不均勻現象。

經由所彙整出發生Mura之原因後，使用FTA與FMEA進行失效分析。FTA主要為由上往下分析，幫助使用者判斷出主要缺失的項目；FMEA則主要為由下往上分析，藉由所提到FTA分析出的結果進行風險評估分析，並建立出改善的措施。從改善前後的均勻度可提升達6.44%以及從AOI檢測也可以得知從改善前24%的異常率下降至改善後的0%。有效降低Mura的發生。

This study aims to perform a gap analysis using Fault Tree Analysis (FTA) and Failure Mode and Effects Analysis (FMEA) in production Research and Development (R&D). This is a technologically advanced world. The case objects in this research can be divided into two industries: the semiconductor industry and the display industry. Among these, the research on the display industry will be discussed. Based on the relevant historical data and the problems encountered in the current production, We conduct basic experimental analyses and confirmations. Then carry out research and development for production using actual products. Finally, the feasibility of the experimental design method has been confirmed.

In an environment where the display panel technology is advanced. To improve the yield in the product R&D process and reduce production costs simultaneously. We are researching the production process of Array CVD, which is the front-end process of a display panel. The purpose is not only to improve the production yield rate but also to develop new processed products. To the research objective. The researchers first analyzed potential factors that could contribute to failures in the production process. Perform a thorough analysis of defects and provide recommendations for addressing them. Among them, we will review the common causes of mura. Impurities in the glass and uneven thickness of the insulator can occur during array production.

After the proposed improvements above are effectively implemented. It can be observed from the collected experimental data that the production yield rate has been significantly improved. In this study, the initial analysis will involve basic testing, followed by an analysis of the actual production operation product to ensure the effectiveness of the chosen method.

中文部份
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9. 張緒任(2022)。利用FMEA改善捷運環境監控系統之效率。國立勤益科技大學工業工程與管理系，台中市，台灣。
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11. 郭俊彥(2019)。結合FMEA和FTA應用於廢水處理系統失效風險評估之研究。國立中央大學工業管理研究所碩士論文，桃園市，台灣。
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英文部份
1. Barends, D. M., Oldenhof, M. T., Vredenbregt, M. J., & Nauta, M. J. (2012). Risk analysis of analytical validations by probabilistic modification of FMEA. Journal of pharmaceutical and biomedical analysis, 64, pp.82-86, US.
2. Cristea, G., & Constantinescu, D. M. (2017). A comparative critical study between FMEA and FTA risk analysis methods. IOP Conference Series: Materials Science and Engineering 2017. 252(1), pp. 012046, Europe.
3. Febriana, T. H., & Hasbullah, H. (2021). Analysis and Defect Improvement Using FTA, FMEA, and MLR Through DMAIC Phase: Case Study in Mixing Process Tire Manufacturing Industry. Journal Européen des Systèmes Automatisés 2021. 54(5), pp. 721-731, Indonesia.
4. Guo, J., Jiao, N., Jiang, L., Han, X., & Zhang, X. (2014). Hydro-pneumatic suspension gasbag reliability improvement based on FMEA and FTA. 2014 10th International Conference on Reliability, Maintainability and Safety (ICRMS). pp. 592-594, United States.
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6. Lipol, L. S., & Haq, J. (2011). Risk analysis method: FMEA/FMECA in the organizations. International Journal of Basic & Applied Sciences 11(5), pp. 74-82, Sverige.
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13. Takahashi, M., Kosaka, R., Nanba, R., Anang, Y., & Watanabe, Y. A study of methodology for securing control software based FMEA-FTA coordination. 2016 IEEE/SICE International Symposium on System Integration (SII), pp.144-149, Japan.
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網站部份
1. 鉅亨電子報網站(2022)。〈工業技術與資訊〉翻轉面板產業之micro-LED顯示技術。取自：https://news.cnyes.com/news/id/4935135。最後瀏覽日：2022/08/14
2. 鉅亨電子報網站(2022)。〈台股新聞〉顯示技術革新 明年擁五大技術亮點。取自：https://news.cnyes.com/news/id/5037413。最後瀏覽日：2022/12/25
3. DSCC網站(2022)。季度 OLED 供應/需求和資本支出報告。取自: https://www.displaysupplychain.com/report/quarterly-oled-supply-demand-and-capital-spending-report。最後瀏覽日:2023/1/15