| Summary: | 碩士 === 國立臺北科技大學 === 工業工程與管理系所 === 94 === As the demands of higher resolution and larger size of TFT-LCD, it becomes more critical for the TFT-LCD industry to find an efficient and effective way of defect inspection. Although the TFT-LCD industry has put lots of automatic techniques into practice, the defect inspection of Array, Cell and Module still heavily relies on human visual system. It is because of the sensitivity and adaptability of human eyes that cannot be replaced by machines. Therefore, it is the inspectors who make a final decision about the quality of product. The purpose of this study is to apply gaze tracking and cart sorting methods for collecting the data of inspectors’ mental model and their inspecting behaviors. The data was analyzed to understand the training effect on the novice inspectors and the differences between experts and novices on their defect inspection. The results showed that the training improved the search pattern, defect decision time, and accuracy of the inspection. Especially, the second phase of the training about the procedures of the inspection had the most influence on these variables. It concluded that the acquisition of the procedural knowledge was a key factor for enhancing the performance of defect inspection. Based on the feature-integration theory of attention, it was suggested that the second phase of the training should be switched with the third phase that common defects was introduced. We also found out that generally the experts followed the standard operation process. However, they also created their own search strategies and patterns. The results showed that, for some defects, the experts took more inspection time than the novices did based on their own search patterns. This phenomenon may be explained by Rasmussen’s SRK model on human errors. It was suggested that a periodical review process will be necessary to sustain the performance of defect inspection.
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