在薄膜電晶體液晶顯示器產業製程中，LCD面板組裝製程是目前影響TFT- LCD面板良率最主要的製程段，尤其此段框膠製程中的框膠線寬控制對最終產品品質的影響相當大。因此，框膠線寬的穩定性控制對TFT-LCD業者而言，是一個必須積極面對與改善的重要課題。

　　為了提升LCD面板組裝段製程中框膠線寬的穩定性控制及良率，本研究將六標準活動應用於TFT-LCD框膠製程的最佳化，於六標準活動中乃以DMAIC手法運作，並結合實驗設計的方法協助製程找出最佳參數使其變異減少，進而探討「田口實驗結合反應曲面法」與「2k因子設計結合反應曲面法」，於求解框膠製程最佳化之效率性和整體良率。經本研究實驗驗證結果，「田口實驗結合反應曲面法」在製程能力、最佳參數預測良率、實務驗證良率都優於「2k因子設計結合反應曲面法」，所以六標準改善活動配合「田口實驗結合反應曲面法」可提供業界一個求解製程最佳化之專案改善手法使用之參考。

　　The Cell process is one of TFT-LCD process which mainly affect product’s yield in the industry of Thin Film Transistor-Liquid Crystal Display. Particularly, to control the accuracy of seal width in the Cell’s sealant dispenser process is the most important topic for a TFT-LCD process engineer. Therefore，how to control the accuracy of seal width is a challenge to be dealt with for a TFT-LCD member.

　　In order to improve the accuracy of seal width and the yield of sealant dispenser process in cell process，this paper introduced the Six Sigma DMAIC methodology to find the optimal parameters of sealant dispenser process. Further research into “Taugchi method combine response surface methodology” and “2k Factorial design combine response surface methodology” for the purpose of finding the optimal process parameters more efficiency.

　　From the experiment result, we found “Taugchi method combine response surface methodology” is better than “ 2k Factorial design combine response surface methodology ” in finding process’s optimal parameters and the yield forecast. So, the Six Sigma DMAIC methodology with “Taugchi method combine response surface methodology” can provide a method to find the Optimal manufacturing parameters and can work very well.

Ali,N., Neto,V.F., Mei,S., Cabral,G., Kousar,Y., Titusa,E. and Ogwu,A.A.
”Optimisation of the new time-modulated CVD process using the
Taguchi method”Thin Solid Films ,469–470,154–160,(2004)

Aktas,N.”Optimization of biopolymerization rate by response surface methodology (RSM)”Enzyme and Microbial Technology,37,441–447,(2005)

Box, G.E. and Draper, N. R., "Empirical model building and response surface", John Wiley and Sons, New York,(1997)

Chang,S.H.,“The TFT–LCD industry in Taiwan: competitive advantages and future developments”Technology in Society, 27, 199–215,(2005)

Chang,Y.N., Huang,J.C., Lee,C.C., Shih,I.C. and Tzeng,Y.M.” Use of response surface methodology to optimize culture medium for production of lovastatin by Monascus rubber” Enzyme and Microbial Technology ,30,889–894,(2002)

Chen,P.H., Yau,C., Wu,K.Y., Lin,S. and Shih,H.C.” Application of the Taguchi_s design of experiments to optimize a bromine chemistry-based etching recipe for deep silicon trenches” Microelectronic Engineering ,77 , 110–115,(2005)

Goh,T.N.,“The role of statistical design of experiments in six sigma:perspectives of a practitioner,”Quality Engineering,14,4,659-671 (2002).

Han,C.,Lee,Y.H.”Intelligent integrated plant operation system for six sigma”Annual Reviews in Control,26,27-43,(2002)

Hu,C.U., Chang,Y.J., Yin,L.T., Tsao,C.U and Chang,C.H.”Optimal design of nickel-coated protein chips using Taguchi approach”Sensors and Actuators B,108,665–670,(2005)

Jeong,B., Kim,S.W. and Lee,Y.J.”An assembly scheduler for TFT-LCD manufacturing”Computrt & Industrial Engineering ,41,37-58,(2001)

Khoei,A.R., Maters,I. and Gethin,D.T. “Design optimisation of aluminium recycling processes using Taguchi technique”Journal of Materials Processing Technology,127,96–106,(2002)

Khuri,A.J. and Cornell,J.A., "Response surface : design and analysis", Marcel Dekker, New York,(1996)

Koch,P.N.,Yang,R.J.and Gu,L.”Design for six sigma through robust optimization”Industrial Applications and Design Case Study,26,235–248 ,(2004)
In
Kwon,K.S., Lin,R.M.,”Robust finite element model updating using Taguchi method”Journal of Sound and Vibration,280,77–99,(2005)

Lee,W.C., Yusof,S., Hamid,N.S.A and Baharin,B.S.”Optimizing conditions for enzymatic clarification of banana juice using response surface methodology (RSM)”Journal of Food Engineering,(2005)

Myers, R.H. and Montyomery, D. C., "Response surface methodology, process and product optimization using designed experiments", John Wiley and Sons, New York,(1995)

Myers, R.H.”Response surface methodology current status and future directions (Including Discussion)”Journal of Quality Technology 31,(1), 30–74,(1999)

Myers, R.H., Montgomery, D.C.”Response surface methodology: process and product optimization using designed experiments” second ed. Wiley, New York, (2002)

Noguera,J.H., Watson,E.F.”Response surface analysis of a multi-product batch processing facility using a simulation metamodel”International.
Journal.of Production Economics,(2005)

Peter, S.,P. Robert, and R. Roland，The six sigma way team Fieldbook﹐NY:McGraw-Hill,(2002)
trial applications and design case study
Taguchi, S.,“Engineered systems and basic functions”, Taguchi Symposium, California, 11, 275-300,(1993)

Tan,O., Zaimoglu,A.S., Hinislioglu,S.and Altun,”Taguchi approach for optimization of the bleeding on cement-based grouts”Tunnelling and Underground Space Technology,20,167–173,(2005)
Tong, J. P. C., Yen, B. P. C.“A DMAIC approach to printed circult board quality improvement.” International. Journal. Advance. manufacturing. Technology,23,523-531,(2004)