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A Data Mining Approach For Developing Quality Prediction Model In Multi-Stage Manufacturing

Quality prediction model has been developed in various industries to realize the faultless manufacturing. However, most of quality prediction model is developed in single-stage manufacturing. Previous studies show that single-stage quality system cannot solve quality problem in multi-stage manufactu...

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Main Authors: Arif, Fahmi, Suryana, Nanna, Hussin, Burairah
Format: Article
Language:English
Published: Foundation Of Computer Science (FCS) 2013
Subjects:
Q Science (General)
QA Mathematics
Online Access:http://eprints.utem.edu.my/id/eprint/23044/2/ADataMiningApproachIJCA2013.pdf
http://eprints.utem.edu.my/id/eprint/23044/
https://research.ijcaonline.org/volume69/number22/pxc3888375.pdf
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spelling my.utem.eprints.230442021-07-06T21:31:31Z http://eprints.utem.edu.my/id/eprint/23044/ A Data Mining Approach For Developing Quality Prediction Model In Multi-Stage Manufacturing Arif, Fahmi Suryana, Nanna Hussin, Burairah Q Science (General) QA Mathematics Quality prediction model has been developed in various industries to realize the faultless manufacturing. However, most of quality prediction model is developed in single-stage manufacturing. Previous studies show that single-stage quality system cannot solve quality problem in multi-stage manufacturing effectively. This study is intended to propose combination of multiple PCA+ID3 algorithm to develop quality prediction model in MMS. This technique is applied to a semiconductor manufacturing dataset using the cascade prediction approach. The result shows that the combination of multiple PCA+ID3 is manage to produce the more accurate prediction model in term of classifying both positive and negative classes. Foundation Of Computer Science (FCS) 2013-05 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/23044/2/ADataMiningApproachIJCA2013.pdf Arif, Fahmi and Suryana, Nanna and Hussin, Burairah (2013) A Data Mining Approach For Developing Quality Prediction Model In Multi-Stage Manufacturing. International Journal Of Computer Applications , 69 (22). pp. 35-40. ISSN 0975-8887 https://research.ijcaonline.org/volume69/number22/pxc3888375.pdf 10.5120/12106-8375
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic Q Science (General)
QA Mathematics
spellingShingle Q Science (General)
QA Mathematics
Arif, Fahmi
Suryana, Nanna
Hussin, Burairah
A Data Mining Approach For Developing Quality Prediction Model In Multi-Stage Manufacturing
description Quality prediction model has been developed in various industries to realize the faultless manufacturing. However, most of quality prediction model is developed in single-stage manufacturing. Previous studies show that single-stage quality system cannot solve quality problem in multi-stage manufacturing effectively. This study is intended to propose combination of multiple PCA+ID3 algorithm to develop quality prediction model in MMS. This technique is applied to a semiconductor manufacturing dataset using the cascade prediction approach. The result shows that the combination of multiple PCA+ID3 is manage to produce the more accurate prediction model in term of classifying both positive and negative classes.
format Article
author Arif, Fahmi
Suryana, Nanna
Hussin, Burairah
author_facet Arif, Fahmi
Suryana, Nanna
Hussin, Burairah
author_sort Arif, Fahmi
title A Data Mining Approach For Developing Quality Prediction Model In Multi-Stage Manufacturing
title_short A Data Mining Approach For Developing Quality Prediction Model In Multi-Stage Manufacturing
title_full A Data Mining Approach For Developing Quality Prediction Model In Multi-Stage Manufacturing
title_fullStr A Data Mining Approach For Developing Quality Prediction Model In Multi-Stage Manufacturing
title_full_unstemmed A Data Mining Approach For Developing Quality Prediction Model In Multi-Stage Manufacturing
title_sort data mining approach for developing quality prediction model in multi-stage manufacturing
publisher Foundation Of Computer Science (FCS)
publishDate 2013
url http://eprints.utem.edu.my/id/eprint/23044/2/ADataMiningApproachIJCA2013.pdf
http://eprints.utem.edu.my/id/eprint/23044/
https://research.ijcaonline.org/volume69/number22/pxc3888375.pdf
_version_ 1705060081076273152
score 13.211869

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