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Manufacturing Data Mining for Lot Size Variation by A Simulation Model: An Empirical Study on TFT-LCD Manufacturing
Thesis

Manufacturing Data Mining for Lot Size Variation by A Simulation Model: An Empirical Study on TFT-LCD Manufacturing

王人星
Masters, 國立清華大學, 工業工程與工程管理學系
2004

Abstract

半導體製程 TFT-LCD製程 資料挖礦 在製品等級 semiconductor manufacturing TFT-LCD manufacturing data mining WIP level
Abstract As high-tech industry including semiconductor manufacturing industry breaks into a tiny-profit age, many studies examine lot size variation to decrease cycle time and cost. High-tech industry including semiconductor and TFT-LCD manufacturing industry has similar manufacturing properties, this study aims to examine and monitor the lot size variation to study its impacts on performance indexes. Based on a fab simulation model, in this research also use data mining approach to find out critical machines in the manufacturing process and extract potential useful patterns. Thus, we will try to suggest better WIP level arrangement on the basis of the results. We have employed this approach in a real TFT-LCD fab as an empirical study for validation. Key words: Semiconductor manufacturing, TFT-LCD manufacturing, Data mining approach, WIP level

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