Automated Material Handling System Transport Efficiency Improvement In TFT-LCD FAB

• Main Authors: Cheng-hui Wu, 吳政輝
• Other Authors: Yau-ren Shiau
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/54375394833549433267

碩士 === 逢甲大學 === 工業工程與系統管理學研究所 === 100 === The TFT-LCD factory is almost fully automated manufacture of production in front-end process Area. So the transmission efficiency of the Automated Material Handling System (AMHS) is very important in factory automation. Facility planning determines the level of the plant’s production capacity. When layout planning. Machine transmission efficiency always base on calculation corollary. Then design number of machine and set up base on the corollary . After the machine installed and production. We had many external factors affecting the efficiency of Automation Material Handling System in actual. These factors could not forecast at the planning stage. This paper had been the production of TFT-LCD factory proposed to improve the transmission efficiency. We use Lean Six Sigma procedure of Define, Measure, Analyze, Improve, Control (DMAIC) approach and the application of MINITAB tools to identify factors that may affect the transmission performance. Making improvements methods to enhance the transmission efficiency of the material handing system and confirm the improved efficiency . In this paper using TFT-LCD FAB for example, Using cycle time 20 minutes to finish transfer command in Cell transfer path , but found when the mass production capacity was raised, handling cycle time more than 20 minutes command had increase situation by month gradually, Caused process equipment production idle and affect plant productivity. From six months to collect material handling cycle time more than 20 minutes command ratio on average 54.9% percentage points, Make use of Lean Six Sigma improvement techniques, Hypothesis testing and Design of Experiment to analysis effect factors that problems caused by such factors, When implementation of countermeasures. In this case would be bad rate decreased to 40.1% from 54.9% . It could get 14.8% improvement efficiency and enhance a gradual decline in product capacity.