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 a...

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Main Authors:	M. M., Noor, M. M., Rahman, K., Kadirgama, M. A., Maleque
Format:	Article
Language:	English
Published:	2011
Subjects:	TS Manufactures TD Environmental technology. Sanitary engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/2218/ http://umpir.ump.edu.my/id/eprint/2218/ http://umpir.ump.edu.my/id/eprint/2218/1/Pattern_Recognition_Method_to_Predict_Recycling_Strategy_for_Electronic.pdf

id	ump-2218
recordtype	eprints
spelling	ump-22182018-01-25T06:10:29Z http://umpir.ump.edu.my/id/eprint/2218/ Pattern Recognition Method to Predict Recycling Strategy for Electronic Equipments M. M., Noor M. M., Rahman K., Kadirgama M. A., Maleque TS Manufactures TD Environmental technology. Sanitary engineering 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. 2011 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/2218/1/Pattern_Recognition_Method_to_Predict_Recycling_Strategy_for_Electronic.pdf M. M., Noor and M. M., Rahman and K., Kadirgama and M. A., Maleque (2011) Pattern Recognition Method to Predict Recycling Strategy for Electronic Equipments. Advanced Materials Research, 264-26. pp. 949-955. ISSN 1022-6680 http://www.scientific.net/AMR.264-265.949
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TS Manufactures TD Environmental technology. Sanitary engineering
spellingShingle	TS Manufactures TD Environmental technology. Sanitary engineering M. M., Noor M. M., Rahman K., Kadirgama M. A., Maleque 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	M. M., Noor M. M., Rahman K., Kadirgama M. A., Maleque
author_facet	M. M., Noor M. M., Rahman K., Kadirgama M. A., Maleque
author_sort	M. M., Noor
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
publishDate	2011
url	http://umpir.ump.edu.my/id/eprint/2218/ http://umpir.ump.edu.my/id/eprint/2218/ http://umpir.ump.edu.my/id/eprint/2218/1/Pattern_Recognition_Method_to_Predict_Recycling_Strategy_for_Electronic.pdf
first_indexed	2023-09-18T21:55:49Z
last_indexed	2023-09-18T21:55:49Z
_version_	1777414070907961344

Pattern Recognition Method to Predict Recycling Strategy for Electronic Equipments

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