Hybrid system of artificial neural network, case based reasoning and fuzzy logic for QS9000 implementation

Advanced Product Quality Planning (APQP), which is one of QS9000 requirements applied to automotive industries, performs an important role in quality assurance activities. It’s aroutine job in most of the companies. A group of employees fulfill the job following designated procedures and produce a l...

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Bibliographic Details
Main Author:	Liu, Peng.
Other Authors:	Huin, Seng Fatt
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Industrial engineering::Quality engineering
Online Access:	http://hdl.handle.net/10356/6056
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-6056
record_format	dspace
spelling	sg-ntu-dr.10356-60562023-03-11T17:20:51Z Hybrid system of artificial neural network, case based reasoning and fuzzy logic for QS9000 implementation Liu, Peng. Huin, Seng Fatt School of Mechanical and Aerospace Engineering DRNTU::Engineering::Industrial engineering::Quality engineering Advanced Product Quality Planning (APQP), which is one of QS9000 requirements applied to automotive industries, performs an important role in quality assurance activities. It’s aroutine job in most of the companies. A group of employees fulfill the job following designated procedures and produce a lot of reports and forms. In this dissertation, one model of problem solving that involves choosing an action based on past experiments in similar situations is presented. The problem to be solved in actual business activities is the APQP implementation. This model realized the advantages of some Artificial Intelligence (AI) technologies; these AI technologies include Artificial Neural Network (ANN), Case-Based Reasoning (CBR) and Fuzzy Logic (FL). Master of Science (Computer Integrated Manufacturing) 2008-09-17T11:05:46Z 2008-09-17T11:05:46Z 2005 2005 Thesis http://hdl.handle.net/10356/6056 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::Industrial engineering::Quality engineering
spellingShingle	DRNTU::Engineering::Industrial engineering::Quality engineering Liu, Peng. Hybrid system of artificial neural network, case based reasoning and fuzzy logic for QS9000 implementation
description	Advanced Product Quality Planning (APQP), which is one of QS9000 requirements applied to automotive industries, performs an important role in quality assurance activities. It’s aroutine job in most of the companies. A group of employees fulfill the job following designated procedures and produce a lot of reports and forms. In this dissertation, one model of problem solving that involves choosing an action based on past experiments in similar situations is presented. The problem to be solved in actual business activities is the APQP implementation. This model realized the advantages of some Artificial Intelligence (AI) technologies; these AI technologies include Artificial Neural Network (ANN), Case-Based Reasoning (CBR) and Fuzzy Logic (FL).
author2	Huin, Seng Fatt
author_facet	Huin, Seng Fatt Liu, Peng.
format	Theses and Dissertations
author	Liu, Peng.
author_sort	Liu, Peng.
title	Hybrid system of artificial neural network, case based reasoning and fuzzy logic for QS9000 implementation
title_short	Hybrid system of artificial neural network, case based reasoning and fuzzy logic for QS9000 implementation
title_full	Hybrid system of artificial neural network, case based reasoning and fuzzy logic for QS9000 implementation
title_fullStr	Hybrid system of artificial neural network, case based reasoning and fuzzy logic for QS9000 implementation
title_full_unstemmed	Hybrid system of artificial neural network, case based reasoning and fuzzy logic for QS9000 implementation
title_sort	hybrid system of artificial neural network, case based reasoning and fuzzy logic for qs9000 implementation
publishDate	2008
url	http://hdl.handle.net/10356/6056
_version_	1761781307388461056

Hybrid system of artificial neural network, case based reasoning and fuzzy logic for QS9000 implementation

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