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作者(中文):郭郁琦
作者(外文):Kuo, Yu-Chi
論文名稱(中文):以模擬方法決定蝕刻製程之時間
論文名稱(外文):Using Simulation Method to Determine Etch Process Time
指導教授(中文):侯建良
指導教授(外文):Hou, Jaing-Liang
口試委員(中文):楊士霆
吳士榤
學位類別:碩士
校院名稱:國立清華大學
系所名稱:工業工程與工程管理學系碩士在職專班
學號:110036508
出版年(民國):112
畢業學年度:111
語文別:中文
論文頁數:41
中文關鍵詞:製程參數回饋控制製程能力指標模擬移動平均
外文關鍵詞:Run-to-runCpkSimulationEWMA
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製程參數回饋控制系統(Run-to-run, RtR, R2R)為製造業為維持製程穩定度常使用的製程控制方法,然而,R2R導入評估仍須透過一連串的實驗、模擬、建構,為找到一流程協助評估R2R導入,是以進行本研究。
本研究為求提升製程穩定度、找到最佳R2R方法,基於半導體乾蝕刻製程收集數據後,透過模擬方法,加入前製程因子之影響,以簡單移動平均(Simple Moving Average, MA)、加權移動平均指數(Weighted Moving Average, WMA)與指數移動平均(Exponentially Weighted Moving Average, EWMA)進行模擬,探討R2R系統的有效性並以製程能力指標(Process Capability Index, Cpk)與檢定確認結果。
本研究結論,加入前製程因子影響後,改善不顯著,使用MA, WMA, EWMA之R2R都有顯著改善,EWMA有最佳的改善率,但經檢定後差異並不顯著。
R2R(Run-to-run, RtR) is a process control method commonly used in the manufacturing industry to maintain process stability. However, the evaluation of R2R introduction still requires a series of experiments, simulations, and constructions. The purpose of this study is to find a process for evaluating R2R introduction.
In order to improve the process stability and find the best R2R method, this study collects data based on the semiconductor dry etching process, and adds the influence of the pre- process factors through the simulation method, using MA(Simple Moving Average) and WMA(Weighted Moving Average) and EWMA(Exponentially Weighted Moving Average are simulated to explore the effectiveness of the R2R system and the results are confirmed by Cpk(Process Capability Index) and verification.
The conclusion of this study is that after adding the influence of pre-process factors, the improvement is not significant, and the R2R of MA, WMA, and EWMA are all significantly improved. EWMA has the best improvement rate, but the difference is not significant after verification.
目錄
摘要……………………………………………………………………………………………i
Abstract……………………………………………………………………………………ii
誌謝…………………………………………………………………………………………iii
目錄…………………………………………………………………………………………iv
表目錄………………………………………………………………………………………vi
圖目錄………………………………………………………………………………………vii
第一章 緒論…………………………………………………………………………………1
1.1 研究背景…………………………………………………………………………1
1.2 研究目的…………………………………………………………………3
1.3 預期改善方法…………………………………………………………………6
1.4 研究步驟…………………………………………………………………………8
第二章 文獻回顧………………………………………………………………………10
2.1 蝕刻率……………………………………………………………………10
2.2 Run-to-run………………………………………………………………………10
2.3 模擬及決策模型……………………………………………………………11
2.4 統計製程管制圖與製程能力指標…………………………………………12
2.5 預測與移動平均……………………………………………………………15
第三章 研究方法………………………………………………………………………17
3.1 研究流程…………………………………………………………………………17
3.2 資料來源…………………………………………………………………………18
3.3 資料處理…………………………………………………………………………19
3.4 分析工具…………………………………………………………………………22
3.5 執行模擬…………………………………………………………………………23
第四章 資料驗證與分析…………………………………………………………………26
4.1 模擬方式說明……………………………………………………………………26
4.2 驗證結果分析……………………………………………………………………29
第五章 結論與未來展望…………………………………………………………………37
5.1 結論………………………………………………………………………………37
5.2 未來展望…………………………………………………………………………38
參考文獻……………………………………………………………………………………40

英文文獻
1.Chun-Chin Hsu, 2004, “Development and Evaluation of dynamic tuning methods of EWMA controllers,” National Chiao Tung University, Ph.D.
2.Enrique Del Castillo, Arnon M. Hurwitz, 1997, “Run-to-run process control: Literature review and extensions,” Journal of quality technology
3.Marzieh Khakifirooz, Mahdi Fathi and Chen-Fu Chien, 2018, “Modelling and decision support system for intelligent manufacturing: An empirical study for feedforward-feedback learning-based run-to-run controller for semiconductor dry-etching process,” International Journal of Industrial Engineering, 25(6), 828-842
4.Ming-Da Ma, Chun-Cheng Chang, Shi-Shang Jang, David Shan-Hill Wong, 2009, “Mixed product run-to-run process control – An ANOVA model with ARIMA disturbance approach,” Journal of process control, 604-614
5.Ming-Feng Wu, Wei-Keng Lin, Choi-Lin Ho, David Shan-Hill Wong, Shi-Shang Jang, Ying Zheng, and Abhinav Jain, 2007, “A Feed-Forward/Feedback Run-to-Run Control of a Mixed Product Process: Simulation and Experimental Studies,” Industrial & Engineering Chemistry Research, 46, 6963-6970
6.James R. Evans, 2010, Statistics, Data analysis, and Decision modeling, 4th edition, PEARSON
7.Victor E. Kane, 1986, “Process capability indices,” Journal of quality technology
8.W. J. Stevenson, 2021, Operations Management, 14th edition, McGraw-Hill
中文文獻
1.呂振森(譯)(2011),機率與統計(原作者:Ronald E. Walpole, Raymond H Myers, Sharon L. Myers, Keying Ye),第九版,東華書局。
2.吳俊達(2012),達成基金目標獲利的羅吉斯迴歸模型探討,國立臺北大學碩士輪文。
3.倪志榮(譯)(2015),半導體乾蝕刻技術(原作者:野尻一男),白象文化。
4.黃凡維、古東源、邱靜娥、陳世輝(2006),應用EWMA於類神經網路以監控製程平均,中華民國品質學會第42屆年會暨第12屆全國品質管理研討會。
5.盛威群(2010),Cpk與Ppk指標於製程開發之應用-以自行車前叉豎管為例,逢甲大學碩士論文。
6.蕭宏(2016),半導體製程技術導論,第三版,全華。

網路資源
1.應用材料公司,蝕刻,
(https://www.appliedmaterials.com/tw/zh_tw/semiconductor/semiconductor-technologies/etch.html)
 
 
 
 
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