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

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)

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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.

Item Type: Article
Subjects: T Technology > T Technology (General)
T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Dr. Zakri Ghazalli
Date Deposited: 01 Oct 2015 03:18
Last Modified: 25 Jan 2018 07:12
URI: http://umpir.ump.edu.my/id/eprint/10466
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