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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Main Author:	Norzieyuswati, Md Zenal
Format:	Thesis
Language:	eng eng
Published:	2008
Subjects:	QA76 Computer software
Online Access:	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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id	my-uum-etd.935
record_format	uketd_dc
spelling	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

Scheduling Algorithm For Lot Movement in Semiconductor Wafer Fabrication

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