Scheduling Algorithm For Lot Movement in Semiconductor Wafer Fabrication
Dynamic scheduling for semiconductor wafer FAB is necessary in a complex semiconductor manufacturing environment. An effective material handling scheduling is important in order to avoid tool sits idle waiting for the lot delivery, which resulting in a longer cycle time. Two primary approaches to th...
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2008
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| 在线阅读: | https://etd.uum.edu.my/935/1/Norzieyuswati_Md_Zenal.pdf https://etd.uum.edu.my/935/2/Norzieyuswati_Md_Zenal.pdf |
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my-uum-etd.9352013-07-24T12:09:42Z Scheduling Algorithm For Lot Movement in Semiconductor Wafer Fabrication 2008-05 Norzieyuswati, Md Zenal College of Arts and Sciences (CAS) Faculty of Information Technology QA76 Computer software Dynamic scheduling for semiconductor wafer FAB is necessary in a complex semiconductor manufacturing environment. An effective material handling scheduling is important in order to avoid tool sits idle waiting for the lot delivery, which resulting in a longer cycle time. Two primary approaches to the scheduling problem in the semiconductor wafer fabrication industry, which are heuristic rules and Artificial Intelligence (AI) optimization method, are discussed. Imitating the collective activities of ant colonies, an approach to constructing pheromone-based scheduling algorithm using Ant Colony Optimization for lot movement in semiconductor wafer fabrication process is propose to be implemented in SilTerra Malaysia. 2008-05 Thesis https://etd.uum.edu.my/935/ https://etd.uum.edu.my/935/1/Norzieyuswati_Md_Zenal.pdf application/pdf eng validuser https://etd.uum.edu.my/935/2/Norzieyuswati_Md_Zenal.pdf application/pdf eng public masters masters Universiti Utara Malaysia |
| institution |
Universiti Utara Malaysia |
| collection |
UUM ETD |
| language |
eng eng |
| topic |
QA76 Computer software |
| spellingShingle |
QA76 Computer software Norzieyuswati, Md Zenal Scheduling Algorithm For Lot Movement in Semiconductor Wafer Fabrication |
| description |
Dynamic scheduling for semiconductor wafer FAB is necessary in a complex semiconductor manufacturing environment. An effective material handling scheduling is important in order to avoid tool sits idle waiting for the lot delivery, which resulting in a longer cycle time. Two primary approaches to the scheduling problem in the semiconductor wafer fabrication industry, which are heuristic rules and Artificial Intelligence (AI) optimization method, are discussed. Imitating the collective activities of ant colonies, an approach to constructing pheromone-based scheduling algorithm using Ant Colony Optimization for lot movement in semiconductor wafer fabrication process is
propose to be implemented in SilTerra Malaysia. |
| format |
Thesis |
| qualification_name |
masters |
| qualification_level |
Master's degree |
| author |
Norzieyuswati, Md Zenal |
| author_facet |
Norzieyuswati, Md Zenal |
| author_sort |
Norzieyuswati, Md Zenal |
| title |
Scheduling Algorithm For Lot Movement in Semiconductor Wafer Fabrication |
| title_short |
Scheduling Algorithm For Lot Movement in Semiconductor Wafer Fabrication |
| title_full |
Scheduling Algorithm For Lot Movement in Semiconductor Wafer Fabrication |
| title_fullStr |
Scheduling Algorithm For Lot Movement in Semiconductor Wafer Fabrication |
| title_full_unstemmed |
Scheduling Algorithm For Lot Movement in Semiconductor Wafer Fabrication |
| title_sort |
scheduling algorithm for lot movement in semiconductor wafer fabrication |
| granting_institution |
Universiti Utara Malaysia |
| granting_department |
College of Arts and Sciences (CAS) |
| publishDate |
2008 |
| url |
https://etd.uum.edu.my/935/1/Norzieyuswati_Md_Zenal.pdf https://etd.uum.edu.my/935/2/Norzieyuswati_Md_Zenal.pdf |
| _version_ |
1747827031408640000 |