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A non-linear quality improvement model using SVR for manufacturing TFT-LCDs

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Abstract

Thin Film Transistor—Liquid Crystal Displays (TFT-LCDs) are widely used in TVs, monitors, and PDAs. The key process of producing a TFT-LCD is using alignment to combine a Thin Film Transistor (TFT) panel with a Color Filter (CF) panel, which is called “celling”. The defined cell vernier, which indicates the alignment error, is an important quality index in the manufacturing process. In the CF manufacturing process, the cell vernier is difficult to control because it depends on six TPEs (Total Pitch Errors), with each TPE highly dependent on the others. This paper aims to improve the cell vernier forecasting model with the six TPE attributes to enhance the production yield in the CF manufacturing process. Using the six dependent variables, this study found that the SVR (Support Vector Machine for Regression) model is the fittest for generating quality results that meet the designed specifications.

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Authors and Affiliations

  1. Department of Industrial and Information Management, National Cheng Kung University, 1 University Road, Tainan, 70101, Taiwan

    Der-Chiang Li, Wen-Chih Chen, Chiao-Wen Liu & Yao-San Lin

Authors
  1. Der-Chiang Li
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  2. Wen-Chih Chen
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  3. Chiao-Wen Liu
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  4. Yao-San Lin
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Correspondence to Der-Chiang Li.

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Li, DC., Chen, WC., Liu, CW. et al. A non-linear quality improvement model using SVR for manufacturing TFT-LCDs. J Intell Manuf 23, 835–844 (2012). https://doi.org/10.1007/s10845-010-0440-1

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  • DOI: https://doi.org/10.1007/s10845-010-0440-1

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