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E-waste flow among selected institutions of higher learning using material flow analysis model

Institutions of higher learning (universities) contribute significantly to the rapidly growing threat of e-waste. This research focused mainly on Information and Communication Technology (ICT) e-waste management in selected universities in the Kiang Valley of Central Region, Malaysia. ICT equipments...

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Main Authors:	Agamuthu, Pariatamby, Kasapo, P., Nordin, N.A.M.
Format:	Article
Published:	Elsevier 2015
Subjects:	TA Engineering (General). Civil engineering (General) TD Environmental technology. Sanitary engineering
Online Access:	http://eprints.um.edu.my/16337/ https://doi.org/10.1016/j.resconrec.2015.09.018
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id	my.um.eprints.16337
record_format	eprints
spelling	my.um.eprints.163372019-12-06T07:27:03Z http://eprints.um.edu.my/16337/ E-waste flow among selected institutions of higher learning using material flow analysis model Agamuthu, Pariatamby Kasapo, P. Nordin, N.A.M. TA Engineering (General). Civil engineering (General) TD Environmental technology. Sanitary engineering Institutions of higher learning (universities) contribute significantly to the rapidly growing threat of e-waste. This research focused mainly on Information and Communication Technology (ICT) e-waste management in selected universities in the Kiang Valley of Central Region, Malaysia. ICT equipments (computers, printers, copiers) are the most widely used and frequently replaced electronics in universities and if not soundly managed pose grave environmental hazards because of their components which contain toxic substances. The objective of the article is to analyze e-waste flow among selected institutions of higher learning using material flow analysis model. Material Flow Analysis (MFA) modeling was conducted to investigate e-waste management systems, from asset purchase, use, end-of-life and disposal. Furthermore, MFA also led to better system analysis which contributed to practical recommendations for sustainable e-waste management. STAN (subSTance flow ANalysis) 2.5 software was used to perform the MFA modeling providing graphical models of university e-waste management, data reconciliation, propagation of uncertainty and gross error detection. Findings of the research showed that some universities generated 100 tons of ICT e-waste in 2012 with an estimated market value of RM 0.3 million (US$98.500). The study also found that 7.5 tons of e-waste was discarded into the MSW stream thus contributing to heavy metal contamination in landfill or dump sites. Extended Producer Responsibility (EPR) options i.e. take-back in university systems were practically nonexistent in these universities. (C) 2015 Elsevier B.V. All rights reserved. Elsevier 2015 Article PeerReviewed Agamuthu, Pariatamby and Kasapo, P. and Nordin, N.A.M. (2015) E-waste flow among selected institutions of higher learning using material flow analysis model. Resources Conservation and Recycling, 105 (A). pp. 177-185. ISSN 0921-3449 https://doi.org/10.1016/j.resconrec.2015.09.018 doi:10.1016/j.resconrec.2015.09.018
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	TA Engineering (General). Civil engineering (General) TD Environmental technology. Sanitary engineering
spellingShingle	TA Engineering (General). Civil engineering (General) TD Environmental technology. Sanitary engineering Agamuthu, Pariatamby Kasapo, P. Nordin, N.A.M. E-waste flow among selected institutions of higher learning using material flow analysis model
description	Institutions of higher learning (universities) contribute significantly to the rapidly growing threat of e-waste. This research focused mainly on Information and Communication Technology (ICT) e-waste management in selected universities in the Kiang Valley of Central Region, Malaysia. ICT equipments (computers, printers, copiers) are the most widely used and frequently replaced electronics in universities and if not soundly managed pose grave environmental hazards because of their components which contain toxic substances. The objective of the article is to analyze e-waste flow among selected institutions of higher learning using material flow analysis model. Material Flow Analysis (MFA) modeling was conducted to investigate e-waste management systems, from asset purchase, use, end-of-life and disposal. Furthermore, MFA also led to better system analysis which contributed to practical recommendations for sustainable e-waste management. STAN (subSTance flow ANalysis) 2.5 software was used to perform the MFA modeling providing graphical models of university e-waste management, data reconciliation, propagation of uncertainty and gross error detection. Findings of the research showed that some universities generated 100 tons of ICT e-waste in 2012 with an estimated market value of RM 0.3 million (US$98.500). The study also found that 7.5 tons of e-waste was discarded into the MSW stream thus contributing to heavy metal contamination in landfill or dump sites. Extended Producer Responsibility (EPR) options i.e. take-back in university systems were practically nonexistent in these universities. (C) 2015 Elsevier B.V. All rights reserved.
format	Article
author	Agamuthu, Pariatamby Kasapo, P. Nordin, N.A.M.
author_facet	Agamuthu, Pariatamby Kasapo, P. Nordin, N.A.M.
author_sort	Agamuthu, Pariatamby
title	E-waste flow among selected institutions of higher learning using material flow analysis model
title_short	E-waste flow among selected institutions of higher learning using material flow analysis model
title_full	E-waste flow among selected institutions of higher learning using material flow analysis model
title_fullStr	E-waste flow among selected institutions of higher learning using material flow analysis model
title_full_unstemmed	E-waste flow among selected institutions of higher learning using material flow analysis model
title_sort	e-waste flow among selected institutions of higher learning using material flow analysis model
publisher	Elsevier
publishDate	2015
url	http://eprints.um.edu.my/16337/ https://doi.org/10.1016/j.resconrec.2015.09.018
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score	13.211869

E-waste flow among selected institutions of higher learning using material flow analysis model

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