Optimization of diffusion batch size based on real-time information
Diffusion is one of the operations that are run on batching basis in semiconductor fabrication. Due to its long processing time and being non-pre-emptive, operators and supervisors on the shop floor are frequently facing the dilemma that whether to launch the next batch promptly with availa...
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sg-ntu-dr.10356-547192023-03-11T17:03:53Z Optimization of diffusion batch size based on real-time information Zhang, Chenru Wu Kan School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering Diffusion is one of the operations that are run on batching basis in semiconductor fabrication. Due to its long processing time and being non-pre-emptive, operators and supervisors on the shop floor are frequently facing the dilemma that whether to launch the next batch promptly with available lots to avoid idle time, or to wait for more lots to arrive so as to make better utilization of the equipment. Hence, the goal of the research is to derive a new control strategy to optimize the diffusion batch size based on real-time information in manufacturing system. Many similar efforts have been made to deal with the problem previously. Compared." to them, this research features a couple of improvements. First, it employs integer linear programming instead of heuristics to solve the problem so that the solution is guaranteed to be optimal. Second, move rate (throughput) is selected to be the objective function as it is a more practical KPI than the long-time used cycle time in prior research. Simulation results prove the new method to be productivity boosting under all traffic intensities. Compared to benchmark, the improvement is about 150/0 under low utilization, while 2-50/0 under medium to high. Recommendations for future study are provided at the end. Master of Science (Mechanical Engineering) 2013-07-25T06:50:37Z 2013-07-25T06:50:37Z 2013 2013 Thesis http://hdl.handle.net/10356/54719 en 41 p. application/pdf |
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DRNTU::Engineering::Mechanical engineering Zhang, Chenru Optimization of diffusion batch size based on real-time information |
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Diffusion is one of the operations that are run on batching basis in semiconductor
fabrication. Due to its long processing time and being non-pre-emptive, operators and
supervisors on the shop floor are frequently facing the dilemma that whether to launch
the next batch promptly with available lots to avoid idle time, or to wait for more lots to
arrive so as to make better utilization of the equipment. Hence, the goal of the research is
to derive a new control strategy to optimize the diffusion batch size based on real-time
information in manufacturing system.
Many similar efforts have been made to deal with the problem previously. Compared."
to them, this research features a couple of improvements. First, it employs integer linear
programming instead of heuristics to solve the problem so that the solution is guaranteed
to be optimal. Second, move rate (throughput) is selected to be the objective function as it
is a more practical KPI than the long-time used cycle time in prior research.
Simulation results prove the new method to be productivity boosting under all traffic
intensities. Compared to benchmark, the improvement is about 150/0 under low
utilization, while 2-50/0 under medium to high.
Recommendations for future study are provided at the end. |
author2 |
Wu Kan |
author_facet |
Wu Kan Zhang, Chenru |
format |
Theses and Dissertations |
author |
Zhang, Chenru |
author_sort |
Zhang, Chenru |
title |
Optimization of diffusion batch size based on real-time information |
title_short |
Optimization of diffusion batch size based on real-time information |
title_full |
Optimization of diffusion batch size based on real-time information |
title_fullStr |
Optimization of diffusion batch size based on real-time information |
title_full_unstemmed |
Optimization of diffusion batch size based on real-time information |
title_sort |
optimization of diffusion batch size based on real-time information |
publishDate |
2013 |
url |
http://hdl.handle.net/10356/54719 |
_version_ |
1761781515761483776 |