Operation Scheduling in TFT-LCD Array Fab Using Ant Colony Optimization
碩士 === 國立臺灣科技大學 === 工業管理系 === 101 === A capacity planning system (CPS) using ant colony optimization (ACO) is developed in TFT-LCD array fab in order to produce the order dispatching decision by considering due date and size of orders, as well as the capacity, loading, and yield of fab. This CPS inc...
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ndltd-TW-101NTUS50410972016-03-21T04:28:02Z http://ndltd.ncl.edu.tw/handle/81128556725962648381 Operation Scheduling in TFT-LCD Array Fab Using Ant Colony Optimization 以螞蟻演算法求解作業排程於TFT-LCD陣列廠 Qian-Fang Tu 涂千芳 碩士 國立臺灣科技大學 工業管理系 101 A capacity planning system (CPS) using ant colony optimization (ACO) is developed in TFT-LCD array fab in order to produce the order dispatching decision by considering due date and size of orders, as well as the capacity, loading, and yield of fab. This CPS includes five moduals: (1) Order Priority Module, OPM;(2) WIP-Pulling Module,WPM;(3)Lot Release Module, LRM;(4) Workload Accumulation Module, WAM;(5) Workload Balance Module, WBM. CPS can evaluate the lateness, machine workload balance, and total setup time on the planning horizon. This research use Genetic Algorithm (GA) and Critical Ratio (CR) as the comparison methods. Microsoft Visual Basic is used to develop CPS, simulation and experimental design is used to evaluate its performance. The result shows that ACO can effectively and efficiently eliminate the total setup time. Shi-Woei Lin James C. Chen 林希偉 陳建良 2013 學位論文 ; thesis 58 en_US |
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碩士 === 國立臺灣科技大學 === 工業管理系 === 101 === A capacity planning system (CPS) using ant colony optimization (ACO) is developed in TFT-LCD array fab in order to produce the order dispatching decision by considering due date and size of orders, as well as the capacity, loading, and yield of fab. This CPS includes five moduals: (1) Order Priority Module, OPM;(2) WIP-Pulling Module,WPM;(3)Lot Release Module, LRM;(4) Workload Accumulation Module, WAM;(5) Workload Balance Module, WBM. CPS can evaluate the lateness, machine workload balance, and total setup time on the planning horizon. This research use Genetic Algorithm (GA) and Critical Ratio (CR) as the comparison methods. Microsoft Visual Basic is used to develop CPS, simulation and experimental design is used to evaluate its performance. The result shows that ACO can effectively and efficiently eliminate the total setup time.
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Shi-Woei Lin |
author_facet |
Shi-Woei Lin Qian-Fang Tu 涂千芳 |
author |
Qian-Fang Tu 涂千芳 |
spellingShingle |
Qian-Fang Tu 涂千芳 Operation Scheduling in TFT-LCD Array Fab Using Ant Colony Optimization |
author_sort |
Qian-Fang Tu |
title |
Operation Scheduling in TFT-LCD Array Fab Using Ant Colony Optimization |
title_short |
Operation Scheduling in TFT-LCD Array Fab Using Ant Colony Optimization |
title_full |
Operation Scheduling in TFT-LCD Array Fab Using Ant Colony Optimization |
title_fullStr |
Operation Scheduling in TFT-LCD Array Fab Using Ant Colony Optimization |
title_full_unstemmed |
Operation Scheduling in TFT-LCD Array Fab Using Ant Colony Optimization |
title_sort |
operation scheduling in tft-lcd array fab using ant colony optimization |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/81128556725962648381 |
work_keys_str_mv |
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