The Development of a Training Expert System for TFT-LCD Defects Inspection

Authors

  • Jung-Jung Chang Taiwan Semiconductor Manufacturing Company
  • Sheue-Ling Hwang National Tsing Hua University
  • Chao-Hua Wen 3Advance Technology LCD Division, TPO Displays Corp

DOI:

https://doi.org/10.23055/ijietap.2009.16.1.203

Keywords:

TFT-LCD, Mura defects, Human visual inspection, Training support system, Expert System

Abstract

At present, the image quality of LCD panels has been determined subjectively by human visual inspection. In fact, the inspectors need to memorize a large number of instructions. The inspection tasks include a series of complicated procedures that increase the workload of the inspectors. This research focuses on the improvement of LCD inspection. The knowledge extracting of inspection data was to analyze association rules through interviewing experienced inspectors. Then the nested IF-THEN inspection rules between defects and test patterns were analyzed by two-dimensional matrix and group technology (GT). In terms of inspection test patterns, the occurring sequence of pattern was rearranged to make inspection tasks more efficient. Furthermore, this study aimed to construct an expert system for LCD defects inspection. According to the results of the experiment and expert evaluation, the expert system was proposed as a training support system to aid the trainees to learn inspection skills more effectively. Therefore, the performance of the inspection training could be improved.

Author Biographies

Jung-Jung Chang, Taiwan Semiconductor Manufacturing Company

J

Sheue-Ling Hwang, National Tsing Hua University

Sheue-Ling Hwang received the Ph.D. degree in 1984 from the school of Industrial Engineering at Purdue University, Lafayette, IN, U.S.A. Currently; she is a professor in Industrial Engineering & Engineering Management Department at National Tsing Hua University in Hsinchu, Taiwan. Her research interests include human-computer interaction and human-machine studies. Dr. Hwang is a member of the Ergonomics Society of Taiwan, the Chinese Institute of Industrial Engineers, the Human Factors and Ergonomics Society, and the Association for Computing Machinery.

Chao-Hua Wen, 3Advance Technology LCD Division, TPO Displays Corp

Chao-Hua Wen received his MS and PhD degree in industrial engineering from National Tsing-Hua University, Taiwan, in 1994 and 1998, respectively. He is currently a manager in the LCD department of Advance Technology Division of TPO Display Corporation. He joined Color Technology Section of Opto-Electronics and Systems Division at Opto-Electronics and Systems Laboratories of Industrial technology Research Institute in 1998. He had been a program manager in the research alliance of Taiwan TFT-LCD Association since 2003. His current interests include color reproduction, image quality, human factors on flat-panel displays. He is a member of the Ergonomics Society of Taiwan.

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Published

2022-03-14

How to Cite

Chang, J.-J., Hwang, S.-L., & Wen, C.-H. (2022). The Development of a Training Expert System for TFT-LCD Defects Inspection. International Journal of Industrial Engineering: Theory, Applications and Practice, 16(1), 41–50. https://doi.org/10.23055/ijietap.2009.16.1.203

Issue

Vol. 16 No. 1 (2009)

Section

Quality, Reliability, Maintenance Engineering

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