The Study of Optimizing manufacturing parameters for Seal process using Six Sigma methodology
碩士 === 國立成功大學 === 工業與資訊管理學系專班 === 94 === 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...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/96171085665084614807 |
| Summary: | 碩士 === 國立成功大學 === 工業與資訊管理學系專班 === 94 === 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.
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