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...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखक: Norzieyuswati, Md Zenal
स्वरूप: थीसिस
भाषा:अंग्रेज़ी
अंग्रेज़ी
प्रकाशित: 2008
विषय:
ऑनलाइन पहुंच: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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author Norzieyuswati, Md Zenal
author_facet Norzieyuswati, Md Zenal
author_sort Norzieyuswati, Md Zenal
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.
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language English
English
publishDate 2008
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spelling oai:etd.uum.edu.my: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
url-record https://etd.uum.edu.my/935/
work_keys_str_mv AT norzieyuswatimdzenal schedulingalgorithmforlotmovementinsemiconductorwaferfabrication