博碩士論文 109456011 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:29 、訪客IP:3.144.33.41
姓名 李柔誼(Rou-Yi Li)  查詢紙本館藏   畢業系所 工業管理研究所在職專班
論文名稱 應用品質工程分析法改進製程-以消除晶圓殘留物質為例
相關論文
★ 應用MFM 與PPM 監控協同設計之執行流程★ 應用DSM與DRFT於汽車電子之協同開發流程
★ 一協同設計專案團隊組成方法- 以安全監視器產品為例★ 應用認知工程開發全球化光纖通訊系統
★ 羽絨產業策略規劃-應用品質機能展開分析法★ 重電業協同專案管理績效之研究-以變電所統包工程為例
★ 以屬性導向新產品開發之流程塑模與分析– 以醫療器材產業為案例★ 以品質機能展開法應用於主管管理職能之建構
★ 應用參考模型以及流程建模改善供應鏈績效-以投影機產業為例★ 協同產品開發之流程管理 - 以汽車零件為例
★ 配電系統之高壓電纜接頭供應商評選★ 應用品質機能展開於產品開發之流程分析-以刀鋒式伺服器為例
★ 實施精實六標準差改進製程良率-以機頂盒表面黏著技術為例★ 太陽能模組產業之決策營運研究
★ 新產品開發階段導入替代料之流程建模及潛在風險分析★ 應用實驗設計研發PET複合膜及改善厚膜翹曲問題
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 ( 永不開放)
摘要(中) 除了追求產能外,品質第一向來也是每間公司的重要目標,大多數企業皆透過持續改善以達到此要求,而最直觀影響產出的當屬良率問題,近來發現異物汙染成為低良率的最大因素,為提升良率,本研究將以降低異物汙染率為目標,藉此減低生產過程中造成的外觀問題及避免機臺將良品誤判為不良品的情況發生。
本研究利用特性要因分析圖、FMEA、實驗設計及戴明循環的 PDCA作為研究方法,再帶入實務應用做改善,而在實務應用中則分為幾個部分,首先將利用特性要因分析圖找出異物汙染可能造成的原因,包含各種機構作動中造成的異物掉落、靜置等下一個製程的過程中有灰塵掉落、機器內部濾網網格過大……等,接著使用 FMEA 找出製程中 RPN 超過 150 的項目,最終結合使用實驗設計及 PDCA進行改善。
透過執行各個改善措施後,最終數據結果顯示各個項目的異常率可從最高
50000ppm 降至最低為 1000ppm,RPN 可從 175 降至 35-70,整體而言改善幅度非常顯著,最後也建議未來可針對異物成份作分析,以此作為進一步的改善方向。
摘要(英) Quality First is the goal of a company, and this goal can be achieved by implementing continuous improvement plans. Recently, we found foreign material is one of the common
reason to cause low yield. In the pursuit of quality, this research will focus on foreign material reduction to reduce visual inspection fail rate and production machine overkill rate during production process.
By using fishbone and failure mode & effects analysis (‘FMEA’), this research demonstrates the methods to resolve possible root causes with design of experiment (‘DOE’)
and Plan-Do-Check-Act (‘PDCA’).
The possible root cause includes but not limited to foreign material fall down during
mechanical movement, dirt during waiting process and oversized mesh in oven. The improvement action in practice is using FMEA to sort out the process with risk priority number (‘RPN’) over 150 and implementing improvement plan of DOE and PDCA.
The final results indicates that the fail rate of production process modified with improvement plans could lower to 1000ppm from 50000ppm, and the PRN could lower to 35-
70 from 175.
In conclusion, the result of improvement is obviously, and suggest to focus on the composition of material for the next study.
關鍵字(中) ★ 失效模式與影響分析
★ 實驗設計
★ 特性要因圖
★ PDCA
關鍵字(英) ★ FMEA
★ DOE
★ Fish-bone analysis
★ PDCA
論文目次 中文摘要 ........................................ i
Abstract ........................................ii
致謝 .......................................iii
目錄 ........................................iv
圖目錄 ........................................ v
表目錄 ........................................ vi
第一章 緒論........................................ 1
1-1 研究背景與動機................................. 1
1-2 研究目的 .......................................1
1-3 論文架構 .......................................2
第二章 文獻探討......................................3
2-1 臺灣半導體產業介紹...............................3
2-1-1 發展歷程...................................... 3
2-1-2 供應鏈........................................ 5
2-2 覆晶封裝製程介紹................................. 5
2-3 特性要因圖介紹....................................7
2-4 實驗設計介紹......................................8
2-5 FMEA介紹 ....................................... 9
2-6 PDCA Cycle 介紹..................................11
第三章 研究方法.......................................12
3-1 特性要因圖應用....................................12
3-2 實驗設計應用......................................12
3-3 FMEA應用 ........................................15
3-4 PDCA Cycle 應用..................................17
第四章 個案探討.......................................18
4-1 研究架構 .........................................18
4-1-1 問題分析........................................19
4-1-2 問題改善........................................21
4-2 評估改善成果......................................31
4-3 實際驗證成果......................................32
第五章 結論與建議 ....................................33
參考文獻 ........................................34
參考文獻 [1] Arabian-Hoseynabadi, H., Oraee, H., Tavner, P. J., “Failure modes and effects analysis (FMEA) for wind turbines”, International Journal of Electrical Power & Energy Systems, pp. 817-824, September 2010.
[2] Antony, J., “Taguchi or classical design of experiments: a perspective from a practitioner”, Sensor Review, July 2006.
[3] Coccia, M., “The Fishbone diagram to identify, systematize and analyze the sources of general purpose Technologies”, Journal of Social and Administrative Sciences, pp. 291-303, January 2018.
[4] Ding, S. H., Muhammad, N. A., Zulkurnaini, N. H., Nadia, A., “Application of Integrated FMEA and Fish Bone Analysis–A Case Study in Semiconductor Industry”,
In Proceedings of the International Conference on Industrial Engineering and Operations Management Istanbul, pp. 1233-1238, July 2012.
[5] Ilie, G., & Ciocoiu, C. N. Application of fishbone diagram to determine the risk of an event with multiple causes. Management research and practice, pp. 1-20, 2010.
[6] Lei, W. S., Kumar, A., & Yalamanchili, R. Die singulation technologies for advanced packaging: A critical review. Journal of Vacuum Science & Technology B,
Nanotechnology and Microelectronics: Materials, Processing, Measurement, and Phenomena, 2012.
[7] Karna, S. K., Sahai, R., “An overview on Taguchi method”, International journal of engineering and mathematical sciences, pp. 1-7, January 2012.
[8] Mathews, J. A., “A Silicon Valley of the East: creating Taiwan′s semiconductor industry”, California Management Review, pp. 26-54, July 1 1997.
[9] Raman, R. S., Basavaraj, Y., “Quality improvement of capacitors through fishbone and pareto techniques”, International Journal of Recent Technology and Engineering, pp. 2248-2252, July 2019.
[10] Realyvásquez-Vargas, Arturo, Arredondo-Soto, Karina, Carrillo-Gutiérrez, Teresa; Ravelo, Gustavo., “Applying the Plan-Do-Check-Act (PDCA) Cycle to Reduce the Defects in the Manufacturing Industry. A Case Study”, Applied Sciences, pp. 3-5, November 2018.
[11] Sokovic, M., Pavletic, D., & Pipan, K. K., “Quality improvement methodologies–PDCA cycle, RADAR matrix, DMAIC and DFSS:, Journal of achievements in materials and manufacturing engineering, pp. 476-483, November 2010.
[12] Wan, J. W., Zhang, W. J., Bergstrom, D. J., “Recent advances in modeling the underfill process in flip-chip packaging”, Microelectronics Journal, pp. 67-75, January
2007.
[13] Whitcomb, R., & Rioux, M. Failure modes and effects analysis (FMEA) system deployment in a semiconductor manufacturing environment. In Proceedings of 1994
IEEE/SEMI Advanced Semiconductor Manufacturing Conference and Workshop (ASMC) pp. 136-139, November 1994.
[14] Yeh, Tsu-Ming, Chen, Long-Yi, “Fuzzy-based risk priority number in FMEA for semiconductor wafer processes.” International Journal of Production Research, pp. 540-542, 2014.
[15] 王怡惠、張于紳、張書豪,我國重點產業博士級科技人才供需現況調查- 以半導體產業為例,財團法人國家實驗研究院科技政策研究與資訊中心,2020,頁15。
[16] 王耀漢,「半導體封裝球銲製程中影響金鋁介金屬化合物的要因及改善方法之研究」,國立成功大學,碩士論文,2002。
[17] 許玉芬,「品質失效分析與客訴流程管理 -以太陽能電池為例」,國立中央大學,碩士論文,2015。
[18] 黃順意,「應用福特 8D 解決客訴之個案研究」,逢甲大學,碩士論文,2013。
指導教授 高信培 審核日期 2022-6-24
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明