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Prediction of recycle method using relevance vector machine

Life cycle engineering is the engineering and design of products and processes to minimize the cost and environmental impact for the life cycle phases of a product. Relevance Vector Machine method (RVM) is used to determine recycling strategy (reuse, service, remanufacture, recycle with disassembly,...

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Main Authors: Mat Noor, Muhamad, A/L Kadirgama, Kumaran, Rahman, Md. Mustafizur, Maleque, Md. Abdul
Format: Article
Language:English
Published: Trans Tech Publications, Switzerland 2011
Subjects:
TA Engineering (General). Civil engineering (General)
TS Manufactures
Online Access:http://irep.iium.edu.my/1626/1/P39_2011.pdf
http://irep.iium.edu.my/1626/
http://www.scientific.net/AMR.264-265.943
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spelling my.iium.irep.16262011-09-06T01:14:19Z http://irep.iium.edu.my/1626/ Prediction of recycle method using relevance vector machine Mat Noor, Muhamad A/L Kadirgama, Kumaran Rahman, Md. Mustafizur Maleque, Md. Abdul TA Engineering (General). Civil engineering (General) TS Manufactures Life cycle engineering is the engineering and design of products and processes to minimize the cost and environmental impact for the life cycle phases of a product. Relevance Vector Machine method (RVM) is used to determine recycling strategy (reuse, service, remanufacture, recycle with disassembly, recycle without disassembly and disposal). Seven parameters (wear – out life, technology cycle, level of integration, number of parts, reason for redesign and design cycle) were considered as the input for the RVM model. Three electronic equipments were selected to be examined such as vacuum cleaner, washing machine, television. All the results verify previous literature study. The prediction model predicts the end of life (EOL)strategies quite closely with real industry practices. Trans Tech Publications, Switzerland 2011-06 Article REM application/pdf en http://irep.iium.edu.my/1626/1/P39_2011.pdf Mat Noor, Muhamad and A/L Kadirgama, Kumaran and Rahman, Md. Mustafizur and Maleque, Md. Abdul (2011) Prediction of recycle method using relevance vector machine. Advanced Materials Research , 264. pp. 943-948. ISSN 1022-6680 http://www.scientific.net/AMR.264-265.943 10.4028/www.scientific.net/AMR.264-265.943
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
TS Manufactures
spellingShingle TA Engineering (General). Civil engineering (General)
TS Manufactures
Mat Noor, Muhamad
A/L Kadirgama, Kumaran
Rahman, Md. Mustafizur
Maleque, Md. Abdul
Prediction of recycle method using relevance vector machine
description Life cycle engineering is the engineering and design of products and processes to minimize the cost and environmental impact for the life cycle phases of a product. Relevance Vector Machine method (RVM) is used to determine recycling strategy (reuse, service, remanufacture, recycle with disassembly, recycle without disassembly and disposal). Seven parameters (wear – out life, technology cycle, level of integration, number of parts, reason for redesign and design cycle) were considered as the input for the RVM model. Three electronic equipments were selected to be examined such as vacuum cleaner, washing machine, television. All the results verify previous literature study. The prediction model predicts the end of life (EOL)strategies quite closely with real industry practices.
format Article
author Mat Noor, Muhamad
A/L Kadirgama, Kumaran
Rahman, Md. Mustafizur
Maleque, Md. Abdul
author_facet Mat Noor, Muhamad
A/L Kadirgama, Kumaran
Rahman, Md. Mustafizur
Maleque, Md. Abdul
author_sort Mat Noor, Muhamad
title Prediction of recycle method using relevance vector machine
title_short Prediction of recycle method using relevance vector machine
title_full Prediction of recycle method using relevance vector machine
title_fullStr Prediction of recycle method using relevance vector machine
title_full_unstemmed Prediction of recycle method using relevance vector machine
title_sort prediction of recycle method using relevance vector machine
publisher Trans Tech Publications, Switzerland
publishDate 2011
url http://irep.iium.edu.my/1626/1/P39_2011.pdf
http://irep.iium.edu.my/1626/
http://www.scientific.net/AMR.264-265.943
_version_ 1643604824746360832
score 13.160551

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