Prediction of End-of-Life Strategies for Household Equipments Using Artificial Intelligent

Problem statement: Environment issue on the dumping of used household product is a big challenge nowadays. Towards green design, life cycle of a product is very crucial. This study discussed on recycling strategies which include reuse, service, remanufacture and recycle with or without disassembly b...

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Main Authors:	M. M., Noor, K., Kadirgama, Aidy, Ali, M. M., Rahman, Z., Ghazalli
Format:	Article
Language:	English
Published:	Science Publications 2009
Subjects:	T Technology (General) TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/10466/ http://umpir.ump.edu.my/id/eprint/10466/ http://umpir.ump.edu.my/id/eprint/10466/ http://umpir.ump.edu.my/id/eprint/10466/2/fkm-2009-zakri-Prediction%20of%20End-of-Life.pdf

id	ump-10466
recordtype	eprints
spelling	ump-104662018-01-25T07:12:24Z http://umpir.ump.edu.my/id/eprint/10466/ Prediction of End-of-Life Strategies for Household Equipments Using Artificial Intelligent M. M., Noor K., Kadirgama Aidy, Ali M. M., Rahman Z., Ghazalli T Technology (General) TJ Mechanical engineering and machinery Problem statement: Environment issue on the dumping of used household product is a big challenge nowadays. Towards green design, life cycle of a product is very crucial. This study discussed on recycling strategies which include reuse, service, remanufacture and recycle with or without disassembly by using Support Vector Machine Method (SVM). Approach: In early stage of prediction, the input parameters of wear-out life; technology cycle, level of integration, number of parts, reason for redesign and design cycle were incorporated. Six household equipments were studied includes vacuum cleaner, washing machine, television, portable radio and hand held vacuum. Results: The end life predicted results were compared with the previous literature study. Conclusion: The developed End Of Life (EOL) strategies model is good in agreement with existing industry practice. Science Publications 2009 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/10466/2/fkm-2009-zakri-Prediction%20of%20End-of-Life.pdf M. M., Noor and K., Kadirgama and Aidy, Ali and M. M., Rahman and Z., Ghazalli (2009) Prediction of End-of-Life Strategies for Household Equipments Using Artificial Intelligent. American Journal of Applied Sciences, 6 (10). pp. 1838-1844. ISSN 1546-9239 (print); 1554-3641 (online) http://dx.doi.org/10.3844/ajassp.2009.1838.1844 doi:10.3844/ajassp.2009.1838.1844
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	T Technology (General) TJ Mechanical engineering and machinery
spellingShingle	T Technology (General) TJ Mechanical engineering and machinery M. M., Noor K., Kadirgama Aidy, Ali M. M., Rahman Z., Ghazalli Prediction of End-of-Life Strategies for Household Equipments Using Artificial Intelligent
description	Problem statement: Environment issue on the dumping of used household product is a big challenge nowadays. Towards green design, life cycle of a product is very crucial. This study discussed on recycling strategies which include reuse, service, remanufacture and recycle with or without disassembly by using Support Vector Machine Method (SVM). Approach: In early stage of prediction, the input parameters of wear-out life; technology cycle, level of integration, number of parts, reason for redesign and design cycle were incorporated. Six household equipments were studied includes vacuum cleaner, washing machine, television, portable radio and hand held vacuum. Results: The end life predicted results were compared with the previous literature study. Conclusion: The developed End Of Life (EOL) strategies model is good in agreement with existing industry practice.
format	Article
author	M. M., Noor K., Kadirgama Aidy, Ali M. M., Rahman Z., Ghazalli
author_facet	M. M., Noor K., Kadirgama Aidy, Ali M. M., Rahman Z., Ghazalli
author_sort	M. M., Noor
title	Prediction of End-of-Life Strategies for Household Equipments Using Artificial Intelligent
title_short	Prediction of End-of-Life Strategies for Household Equipments Using Artificial Intelligent
title_full	Prediction of End-of-Life Strategies for Household Equipments Using Artificial Intelligent
title_fullStr	Prediction of End-of-Life Strategies for Household Equipments Using Artificial Intelligent
title_full_unstemmed	Prediction of End-of-Life Strategies for Household Equipments Using Artificial Intelligent
title_sort	prediction of end-of-life strategies for household equipments using artificial intelligent
publisher	Science Publications
publishDate	2009
url	http://umpir.ump.edu.my/id/eprint/10466/ http://umpir.ump.edu.my/id/eprint/10466/ http://umpir.ump.edu.my/id/eprint/10466/ http://umpir.ump.edu.my/id/eprint/10466/2/fkm-2009-zakri-Prediction%20of%20End-of-Life.pdf
first_indexed	2023-09-18T22:10:06Z
last_indexed	2023-09-18T22:10:06Z
_version_	1777414969882574848

Prediction of End-of-Life Strategies for Household Equipments Using Artificial Intelligent

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