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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| Format: | Thesis |
| Language: | en en |
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2008
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| Online Access: | https://etd.uum.edu.my/935/1/Norzieyuswati_Md_Zenal.pdf https://etd.uum.edu.my/935/2/Norzieyuswati_Md_Zenal.pdf https://etd.uum.edu.my/935/ |
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| author | Norzieyuswati, Md Zenal |
| author_facet | Norzieyuswati, Md Zenal |
| author_sort | Norzieyuswati, Md Zenal |
| building | UUM Library |
| collection | Institutional Repository |
| content_provider | Universiti Utara Malaysia |
| content_source | UUM Electronic Theses |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.uum.etd-935 |
| institution | Universiti Utara Malaysia |
| language | en en |
| publishDate | 2008 |
| record_format | eprints |
| spelling | my.uum.etd-9352013-07-24T12:09:42Z https://etd.uum.edu.my/935/ Scheduling Algorithm For Lot Movement in Semiconductor Wafer Fabrication Norzieyuswati, Md Zenal 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 NonPeerReviewed application/pdf en https://etd.uum.edu.my/935/1/Norzieyuswati_Md_Zenal.pdf application/pdf en https://etd.uum.edu.my/935/2/Norzieyuswati_Md_Zenal.pdf Norzieyuswati, Md Zenal (2008) Scheduling Algorithm For Lot Movement in Semiconductor Wafer Fabrication. Masters thesis, Universiti Utara Malaysia. |
| spellingShingle | QA76 Computer software Norzieyuswati, Md Zenal Scheduling Algorithm For Lot Movement in Semiconductor Wafer Fabrication |
| title | 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_short | Scheduling Algorithm For Lot Movement in Semiconductor Wafer Fabrication |
| title_sort | scheduling algorithm for lot movement in semiconductor wafer fabrication |
| topic | QA76 Computer software |
| url | https://etd.uum.edu.my/935/1/Norzieyuswati_Md_Zenal.pdf https://etd.uum.edu.my/935/2/Norzieyuswati_Md_Zenal.pdf https://etd.uum.edu.my/935/ |
| url_provider | http://etd.uum.edu.my/ |