Evolutionary computation approach to intelligent auto-recovery in manufacturing

Material handling system (MHS) in manufacturing consists of workcells, storage lanes and variety of equipments. Materials need efficient movements for producing and assembling. As many events could occur, such as equipment breakdown, buffer capacity full, and etc, an intelligent auto-recovery engine...

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Bibliographic Details
Main Author:	Xiong, Lei.
Other Authors:	Suganthan, Ponnuthurai Nagaratnam
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering DRNTU::Engineering::Manufacturing::Plant engineering
Online Access:	http://hdl.handle.net/10356/3802
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-3802
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spelling	sg-ntu-dr.10356-38022023-07-04T15:53:35Z Evolutionary computation approach to intelligent auto-recovery in manufacturing Xiong, Lei. Suganthan, Ponnuthurai Nagaratnam School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering DRNTU::Engineering::Manufacturing::Plant engineering Material handling system (MHS) in manufacturing consists of workcells, storage lanes and variety of equipments. Materials need efficient movements for producing and assembling. As many events could occur, such as equipment breakdown, buffer capacity full, and etc, an intelligent auto-recovery engine is requisite to handle those events. Master of Science (Computer Control and Automation) 2008-09-17T09:37:51Z 2008-09-17T09:37:51Z 2004 2004 Thesis http://hdl.handle.net/10356/3802 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering DRNTU::Engineering::Manufacturing::Plant engineering
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering DRNTU::Engineering::Manufacturing::Plant engineering Xiong, Lei. Evolutionary computation approach to intelligent auto-recovery in manufacturing
description	Material handling system (MHS) in manufacturing consists of workcells, storage lanes and variety of equipments. Materials need efficient movements for producing and assembling. As many events could occur, such as equipment breakdown, buffer capacity full, and etc, an intelligent auto-recovery engine is requisite to handle those events.
author2	Suganthan, Ponnuthurai Nagaratnam
author_facet	Suganthan, Ponnuthurai Nagaratnam Xiong, Lei.
format	Theses and Dissertations
author	Xiong, Lei.
author_sort	Xiong, Lei.
title	Evolutionary computation approach to intelligent auto-recovery in manufacturing
title_short	Evolutionary computation approach to intelligent auto-recovery in manufacturing
title_full	Evolutionary computation approach to intelligent auto-recovery in manufacturing
title_fullStr	Evolutionary computation approach to intelligent auto-recovery in manufacturing
title_full_unstemmed	Evolutionary computation approach to intelligent auto-recovery in manufacturing
title_sort	evolutionary computation approach to intelligent auto-recovery in manufacturing
publishDate	2008
url	http://hdl.handle.net/10356/3802
_version_	1772826882822111232

Evolutionary computation approach to intelligent auto-recovery in manufacturing

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