Scheduling strategies of a single serial processing machine with multiple job types in the semiconductor assembly test environment
In this thesis, the performance of various scheduling heuristics of a single serial processing machine with multiple job types in the semiconductor assembly test environment is analyzed. Two types of heuristics are developed in this research. The heuristic with next arrival information is compared w...
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sg-ntu-dr.10356-606442020-11-01T11:39:13Z Scheduling strategies of a single serial processing machine with multiple job types in the semiconductor assembly test environment Jiang, Nan Appa Iyer Sivakumar School of Mechanical and Aerospace Engineering Singapore-MIT Alliance Programme DRNTU::Engineering::Manufacturing In this thesis, the performance of various scheduling heuristics of a single serial processing machine with multiple job types in the semiconductor assembly test environment is analyzed. Two types of heuristics are developed in this research. The heuristic with next arrival information is compared with the heuristic without future information to study how the performance is influenced by forecast. Considering the dynamic manufacturing characteristics of the semiconductor industry, the impact of different level of forecast error is analyzed under different traffic intensities. Two sets of heuristics are tested in simulations to demonstrate that the performance of a model with future information highly depends on how the forecast information is utilized in the heuristics. Master of Science (IMST) 2014-05-29T03:34:40Z 2014-05-29T03:34:40Z 2010 2010 Thesis http://hdl.handle.net/10356/60644 en 79 p. application/pdf |
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DRNTU::Engineering::Manufacturing Jiang, Nan Scheduling strategies of a single serial processing machine with multiple job types in the semiconductor assembly test environment |
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In this thesis, the performance of various scheduling heuristics of a single serial processing machine with multiple job types in the semiconductor assembly test environment is analyzed. Two types of heuristics are developed in this research. The heuristic with next arrival information is compared with the heuristic without future information to study how the performance is influenced by forecast. Considering the dynamic manufacturing characteristics of the semiconductor industry, the impact of different level of forecast error is analyzed under different traffic intensities. Two sets of heuristics are tested in simulations to demonstrate that the performance of a model with future information highly depends on how the forecast information is utilized in the heuristics. |
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Appa Iyer Sivakumar |
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Appa Iyer Sivakumar Jiang, Nan |
format |
Theses and Dissertations |
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Jiang, Nan |
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Jiang, Nan |
title |
Scheduling strategies of a single serial processing machine with multiple job types in the semiconductor assembly test environment |
title_short |
Scheduling strategies of a single serial processing machine with multiple job types in the semiconductor assembly test environment |
title_full |
Scheduling strategies of a single serial processing machine with multiple job types in the semiconductor assembly test environment |
title_fullStr |
Scheduling strategies of a single serial processing machine with multiple job types in the semiconductor assembly test environment |
title_full_unstemmed |
Scheduling strategies of a single serial processing machine with multiple job types in the semiconductor assembly test environment |
title_sort |
scheduling strategies of a single serial processing machine with multiple job types in the semiconductor assembly test environment |
publishDate |
2014 |
url |
http://hdl.handle.net/10356/60644 |
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1688665687000612864 |