Pattern recognition method to predict recycling strategy for electronic equipments

The environmental problem is an extensive, complex problem, and some example areas of study are energy consumption, material/resources use, recycling, and environmentally relevant substance control. Life cycle engineering is the engineering and design of products and processes to minimize the cost...

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Main Authors:	Mat Noor, Muhamad, Kadirgama, K., Rahman, Md. Mustafizur, Maleque, Md. Abdul
Format:	Article
Language:	English
Published:	Trans Tech Publications, Switzerland 2011
Subjects:	TJ Mechanical engineering and machinery TS Manufactures
Online Access:	http://irep.iium.edu.my/1624/ http://irep.iium.edu.my/1624/ http://irep.iium.edu.my/1624/ http://irep.iium.edu.my/1624/1/P40_2011.pdf

id	iium-1624
recordtype	eprints
spelling	iium-16242011-09-06T07:03:01Z http://irep.iium.edu.my/1624/ Pattern recognition method to predict recycling strategy for electronic equipments Mat Noor, Muhamad Kadirgama, K. Rahman, Md. Mustafizur Maleque, Md. Abdul TJ Mechanical engineering and machinery TS Manufactures The environmental problem is an extensive, complex problem, and some example areas of study are energy consumption, material/resources use, recycling, and environmentally relevant substance control. 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. Functional Radial Basis Function Networks (FRBFN) 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 FRBFN model. Eight equipments were selected to be examined such as vacuum cleaner, washing machine and television. All the results verify previous literature study. The prediction model predicts the end life strategies quite closely with best industry practices but only 25 % match average industry practices. Trans Tech Publications, Switzerland 2011-06 Article PeerReviewed application/pdf en http://irep.iium.edu.my/1624/1/P40_2011.pdf Mat Noor, Muhamad and Kadirgama, K. and Rahman, Md. Mustafizur and Maleque, Md. Abdul (2011) Pattern recognition method to predict recycling strategy for electronic equipments. Advanced Materials Research, 264-. pp. 949-955. ISSN 1022-6680 http://www.scientific.net/AMR 0.4028/www.scientific.net/AMR.264-265.949
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery TS Manufactures
spellingShingle	TJ Mechanical engineering and machinery TS Manufactures Mat Noor, Muhamad Kadirgama, K. Rahman, Md. Mustafizur Maleque, Md. Abdul Pattern recognition method to predict recycling strategy for electronic equipments
description	The environmental problem is an extensive, complex problem, and some example areas of study are energy consumption, material/resources use, recycling, and environmentally relevant substance control. 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. Functional Radial Basis Function Networks (FRBFN) 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 FRBFN model. Eight equipments were selected to be examined such as vacuum cleaner, washing machine and television. All the results verify previous literature study. The prediction model predicts the end life strategies quite closely with best industry practices but only 25 % match average industry practices.
format	Article
author	Mat Noor, Muhamad Kadirgama, K. Rahman, Md. Mustafizur Maleque, Md. Abdul
author_facet	Mat Noor, Muhamad Kadirgama, K. Rahman, Md. Mustafizur Maleque, Md. Abdul
author_sort	Mat Noor, Muhamad
title	Pattern recognition method to predict recycling strategy for electronic equipments
title_short	Pattern recognition method to predict recycling strategy for electronic equipments
title_full	Pattern recognition method to predict recycling strategy for electronic equipments
title_fullStr	Pattern recognition method to predict recycling strategy for electronic equipments
title_full_unstemmed	Pattern recognition method to predict recycling strategy for electronic equipments
title_sort	pattern recognition method to predict recycling strategy for electronic equipments
publisher	Trans Tech Publications, Switzerland
publishDate	2011
url	http://irep.iium.edu.my/1624/ http://irep.iium.edu.my/1624/ http://irep.iium.edu.my/1624/ http://irep.iium.edu.my/1624/1/P40_2011.pdf
first_indexed	2023-09-18T20:09:02Z
last_indexed	2023-09-18T20:09:02Z
_version_	1777407353171214336

Pattern recognition method to predict recycling strategy for electronic equipments

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