Case Study: Parameters Optimization Process for Flat Panel Display Manufacture

Chun Hao Kuo, Shih Hsiung Lee, Chu Sing Yang

研究成果: Conference contribution

摘要

Taiwan's flat panel display manufacturing is famous internationally. Its outstanding manufacturing capability can produce high quality panels in the shortest time. In the production process of flat panel displays, the process yield is the best indicator reflecting the good and bad of manufacturers. The yield is direct. The decision is to the company's profit and reputation. Add to this, it is also the trust and acceptance of the company's customers. When the products on the production line are abnormal in quality, the process and equipment engineers must immediately discuss the crux of the problem and improve it. For decomposition of analysis and process management to find out the method, it needs to carry out the problem in linear verification of confirmation whether the problem is a single problem or not. Furthermore, it will produce customer complaints, dissatisfaction with the company, causing the company's losses. Therefore, using Knowledge Discovery from Data (KDD) to establish a process of big data analysis is core technology in our work. We proposed the improvement process that how to quickly find the variation factor and couple with machine learning. Hence the research is based on data pre-processing, modeling. The experiment shows that we find out the right parameters and optimze them. Finally, the yield improvement was increasing to 66%.

原文English
主出版物標題Proceedings - 2019 International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2019
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728146669
DOIs
出版狀態Published - 2019 十一月
事件24th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2019 - Kaohsiung, Taiwan
持續時間: 2019 十一月 212019 十一月 23

出版系列

名字Proceedings - 2019 International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2019

Conference

Conference24th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2019
國家/地區Taiwan
城市Kaohsiung
期間19-11-2119-11-23

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦科學應用
  • 人機介面

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