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/ http://irep.iium.edu.my/1626/ http://irep.iium.edu.my/1626/ http://irep.iium.edu.my/1626/1/P39_2011.pdf

id	iium-1626
recordtype	eprints
spelling	iium-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 PeerReviewed 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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
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/ http://irep.iium.edu.my/1626/ http://irep.iium.edu.my/1626/ http://irep.iium.edu.my/1626/1/P39_2011.pdf
first_indexed	2023-09-18T20:09:02Z
last_indexed	2023-09-18T20:09:02Z
_version_	1777407353457475584

Prediction of recycle method using relevance vector machine

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