跳到主要內容

臺灣博碩士論文加值系統

(216.73.216.110) 您好!臺灣時間:2025/09/25 06:13
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:彭昭傑
研究生(外文):Chao-Chieh Peng
論文名稱:以動態規劃模式改善半導體黃光區重疊控制程序之研究
論文名稱(外文):Using Dynamic Programming to Improve Overlay Control for Lithography Process
指導教授:姜齊姜齊引用關係
指導教授(外文):Chi Chiang
學位類別:碩士
校院名稱:國立交通大學
系所名稱:管理學院碩士在職專班管理科學組
學門:商業及管理學門
學類:其他商業及管理學類
論文種類:學術論文
論文出版年:2008
畢業學年度:96
語文別:中文
論文頁數:51
中文關鍵詞:黃光重疊控制臨界尺寸
外文關鍵詞:PhotoOverlayCD
相關次數:
  • 被引用被引用:0
  • 點閱點閱:657
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:1
摘要
黃光製程是IC生產中最關鍵的一門技術,它決定了整個製程的先進程度,而光罩圖案轉移的優劣會直接影響後續製程的進行。在現行的半導體黃光製程中,由於不同機台、不同光罩(Mask)與晶圓本身都會造成不同層(Layer)間的光罩圖案疊合時產生位移和誤差,尤其隨著關鍵尺寸不斷縮小、晶圓尺寸變大以及光罩數目的增加,黃光重疊控制誤差容忍度也越來越嚴苛,當黃光製程的重疊控制誤差超過誤差容忍度則層間設計電路可能因為位移發生斷路、短路而無法通過電性測試影響良率,進而造成產品報廢。因此,重疊控制誤差控制-準確的濾除不確定及隨機因素並估測出精確的最佳化可調整參數來穩定地降低重疊控制誤差,是控制生產良率的重要指標,也因此,重疊控制(Overlay)量測 - 即針對晶圓上先前已有定義過的圖案,量測一個黃光圖案置於晶圓時的精準度,以避免重疊控制錯誤造成的元件故障,在黃光製程中相形重要。
在生產管理及許多工業工程領域的文獻探討中,發展出了許許多多不同的派工法則來滿足此種限制,諸如:同族(Family-based)派工法則、避免飢餓法(Starvation Avoidance, Glassey and Petrakian, SA)、FIFO…etc.但目前的方式都是被動地被單機限制下(Single Tool Constrain)所發展出來的解法,並無法真正解決問題。
本研究藉整合多個製程與製造的專家控制系統,主動地解決單機限制問題,並運用作業研究之動態規劃模式搭配系統化的邏輯思考方式來撰寫輔助軟體,實際建構出一套模式與系統,期真正能協助解決半導體公司所遇到的問題。
Abstract
Photo is a critical process and technology in semiconductor manufacturing and it plays a role how intelligent the IC processing, in which the quality of mask pattern will have a great direct impact on downstream processing. During lithographing process, the motion and difference will occur in mask overlapping due to different tools, different masks and a wafer itself. However, the tolerance for mask overlapping has become more critical as the dimension of metal line shrines to be narrower, the wafer size becomes bigger and the mask layers increase. The circuit may be malfunction as the tolerance in overlapping is over. Therefore, error-overlapping control to move out uncertainty and stochastic risk factors is they key for fab yield by accurately estimate parameters. Overlapping measurement that is predefined pattern for wafer accuracy to avoid breakdown in IC device is very important in Photo.
In many research for industrial engineering and operation research, there are so many dispatching rules to satisfy such constraints, such as family-based dispatching rule, starvation avoidance-Glassey and Petrakian, SA, Fifo (First-in-First-Out), etc. All of them are developed to such solutions but cannot be really solve under the single tool constraints.
In this paper, we propose a model that integrates actively control the single tool problem. By means of dynamic planning model on operation research and logical thinking with systematic software, such a model and system can practically solve the problem in semiconductor manufacturing.
中文摘要........................................................................................................................ii
Abstract.......................................................................................................................iii
誌 謝...........................................................................................................................iv
目 錄............................................................................................................................v
圖目錄..........................................................................................................................vii
第一章 緒論................................................................................................................1
1.1 研究背景及動機.............................................................................................1
1.2 研究目的.........................................................................................................5
1.3 研究範圍與限制.............................................................................................7
1.4 論文架構.........................................................................................................8
第二章 文獻探討........................................................................................................9
2.1半導體產業與黃光製程技術概況..................................................................9
2.2黃光重要製程介紹........................................................................................11
2.2.1 黃光臨界尺寸....................................................................................13
2.2.2 黃光重疊控制....................................................................................16
2.3 重疊控制誤差的成因與造成的影響...........................................................18
2.3.1 重疊控制誤差的成因........................................................................18
2.3.2 重疊控制誤差之測量與影響............................................................19
2.4動態規劃法....................................................................................................22
2.4.1動態規劃問題的特性.........................................................................23
2.4.2動態規劃問題的應用.........................................................................25
第三章 系統建構與模式設計..................................................................................26
3.1專家系統功能................................................................................................26
3.1.1智慧型製程控制系統.........................................................................26
3.1.2智慧型重疊控制系統.........................................................................28
3.2動態規劃模式設計........................................................................................30
3.2.1系統設計.............................................................................................31
3.2.2 系統限制............................................................................................33
第四章 實作分析與驗證..........................................................................................35
4.1個案公司簡介與資料收集............................................................................35
4.2原有問題描述與現況掌握............................................................................36
4.2.1問題描述與現況掌握—新演算公式需求.........................................37
4.2.2問題描述與現況掌握—專家系統需求.............................................38
4.3 系統建置與實作分析...................................................................................38
v
4.3.1 新演算法則之系統發展....................................................................38
4.3.2 EOCS系統使用之未知參數估算......................................................39
4.3.3 EOCS系統功能設計..........................................................................39
4.3.4 EOCS系統介面設計..........................................................................40
4.3.5 成果驗證............................................................................................40
第五章 結論與未來研究建議....................................................................................45
5.1. 結論......................................................................................................45
5.2. 未來研究建議......................................................................................46
參考文獻......................................................................................................................48
[1] 王旭東, 邵惠鶴,「控制理論與應用」,維普資訊,1997年。
[2] 林易俊,「應用模糊類神經網路於積體電路之微影製程機台故障診斷分析」,成功大學工業工程與資訊管理研究所碩士論文,2004年。
[3] 陳作斌,「模糊指派問題之可行解」,成功大學工業工程與管理研究所碩士論文,2004年。
[4] 陳春益、邱明琦,「運具指派問題之探討」,1998年。
[5] 陳俊儒,「ITIS評析--微影技術趨勢, 工研院IEK-ITIS計畫」, 產業分析,2003年。
[6] 許棟樑、黃嘉若,「半導體製造廠黃光區機台規劃的模擬研究」,計量管理期刊,2001年。
[7] 葉怡成,「應用類神經網路」,儒林圖書,1997年。
[8] 楊錦潭、段維新,「從神經科學及心理學的觀點認識智慧型代理人」,資訊與教育雜誌特刊,2006年。
[9] 謝詠芬、何快容, 「材料分析技術在積體電路製程中的應用」, 2000年。
[10] 蘇木春、張孝德,「機械學習:類神經網路、模糊系統以及基因演算法則」,全華科技,1999年。
[11] Avis, D., “A Survey of Heuristics for the Weighted Matching Problem”, Networks, (1983).
[12] Avis, D. and Devroye, L., “An Analysis of a Decomposition Heuristic for the Assignment Problem”, Operations Research Letters, (1985).
[13] Balinski, M.L., “A Competitive (Dual) Simplex Method for the Assignment Problem”, Mathematical Programming, (1986).
[14] Balinski, M.L., “Signature Methods for the Assignment Problem”, Operations Research, (1985).
48
[15] Beam.C. and Segev.A., “Electronic Catalogs and Negotiations”, CITM 96-WP-1016, Fisher Center for Information Technology Management, University of California at Berkeley, (1996). http://www.hass.berkeley.edu/~citm/wp-1016-summary.html
[16] Cadenas, J.M., and Verdegay, J.L.,“Using Fuzzy Numbers in Linear Programming”, IEEE Transactions on Systems, Man, and Cybernetics-Part B:Cybernetics, (1997).
[17] Chen, Shan-Huo., “Operations of Fuzzy Numbers With Step Form Membership Function Using Function Principle”, Information Sciences, (1998).
[18] Chen, Shu-Jen. and Hwang, Chin-Lai., Fuzzy Multiple Attribute Decision Making. Springer-Verlag, (1992).
[19] Cheng, Ching-Hsue.,“A New Approach for Ranking Fuzzy Numbers by Distance Method”, Fuzzy Sets and Systems, (1998).
[20] Christopher, A.B., “Run-to-Run Control of Linewidth and Overlay in Semiconductor Manufacturing”, University of Texas at Austin, (2001).
[21] Delgado, M., Verdegay, J.L., and Vila, M.A.,“A General Model for Fuzzy Linear Programming”, Fuzzy sets and Systems, (1989).
[22] Jacobson, D.H. and Mayne, D.O., Differential dynamic Programming, American Elsevier Publishing Co.Inc, (1970)
[23] Fang, S.C., Hu, C.F., and Wu, S.Y.,“Linear Programming with Fuzzy Coefficients in Constraints”, Computers and Mathematics with Applications, (1999).
[24] Goldfarb, D., “Efficient Dual Simplex Algorithms for the Assignment Problem”, Mathematical Programming, (1985).
[25] Haykin, S., Neural Networks: A Comprehensive Foundation, (1999).
[26] Hopfield, J.J. and Tank, D.W., “Neural Computation of Decisions in Optimization Problems”, Biological Cybernetics, (1985).
49
[27] Hung, M.S. and Rom, W.O., “Solving the Assignment Problem by Relaxation”, Operations Research, (1980).
[28] Karp, R.M., Kan, A.H., Rinnooy, G.., and Vohra, R.V. , “Average Case Analysis of a Heuristic for the Assignment Problem”, Mathematics of Operations Research, (1994).
[29] Knuth and Ponald, E., “Sorting and Searching”, The Art of Computer
Programming, (1984)
[30] Lai, Y.J. and Hwang, C.L., Fuzzy Mathematical Programming& Algorithm Methods and Applications, (1992).
[31] Lee, Ji-Ping., W.B. and Li, Hongyu , “A New Algorithm for the Assignment Problem:An Alternative to the Hungarian Method”, Computers and Operations Research, (1997).
[32] Lotfi, V.,”A Labeling Algorithm to Solve the Assignment Problem”, Computers and Operations Research, (1989).
[33] Mack, C.A. “Depth of Focus”, Microlithography World, (1995).
[34] Mack, C.A. “Resolution”, Microlithography World, (1997).
[35] Heidari, M., Chow, V.T., Kotovic, P.V., Meredith D.D., “Discrete
Differential Dynamic Programming Approach to Water Resources System
Optimization”, Water Resources Research, (1999).
[36] Paparrizos, K., “An Infeasible (Exterior Point) Simplex Algorithm for Assignment Problems”, Mathematical Programming, (1991).
[37] Nopmongcol, P., and Askew, A.J., “Mutilevel Incremental Dynamic
Programming”, Water Resource Research, (1976)
[38] Bellman, R., “Dynamic Programming”, Princeton University Press, Princeton, N.J. (1957)
50
[39] Robinson, W.N., and Volkov, V., “Supporting the Negotiation Life Cycle”, Communications of the ACM, (1998).
[40] Jonker, R., and Volgenant, J., “Improving the Hungarian Assignment Algorithm”, Operations Research Letters, (1986).
[41] Tanaka, H. and Asai, K., “Fuzzy Linear Programming Problems with Fuzzy Numbers”, Fuzzy Sets and Systems, (1984).
[42] Thie, P.R., A Introduction to Linear Programming and Game Theory. Second Edition, (1988).
[43] Urahama , K., “Analog Circuit for Solving Assignment Problems”, IEEE Transactions on Circuits and Systems-I: Fundamental Theory And Applications, (1994).
[44] Wang, J., “Analogue Neural Network for Solving the Assignment Problem”, Electronics Letters, (1992).
[45] Wang, J., and Vira, C., “Recurrent Neural Networks for Linear Programming: Analysis and Design Principles”, Computers and Operations Research, (1992).
[46] Wang, J., “Primal and Dual Assignment Networks”, IEEE Transactions on Neural Networks, (1997).
[47] Trott, W.J., Yeh, W.W., “Optimization of Multiple Reservoir
System”, Journal of Hydraulics Division, ASCE, (1973)
[48] Yeh, W.W., “A Real Time Optimization Model for Reservoir
Operation”, Report of International Conference on Water Resources
Engineering, Bangkok , (1978)
[49] Yeh, W.W., Becker, L., and Chu, Wen-Sen., 1979, “Real-Time Hourly
Reservoir Operation”, Journal of Water Resources Planning and
Magement Division, ASCE, (1978)
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top