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Prediction of end-of-life strategies for household equipments using artificial intelligent


Citation

Mat Noor, Muhamad and Kadirgama, Kumaran and Ali, Aidy and Rahman, Md. Mustafizur and Ghazalli, Zakri (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; ESSN: 1554-3641

Abstract

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.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.3844/ajassp.2009.1838.1844
Publisher: Science Publications
Keywords: Environment issue; Life cycle engineering; Support vector machine; Recycling strategy; Household equipments
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 01 Aug 2015 12:25
Last Modified: 29 Nov 2017 04:13
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3844/ajassp.2009.1838.1844
URI: http://psasir.upm.edu.my/id/eprint/16285
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