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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Science Publications
2009
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| Online Access: | http://psasir.upm.edu.my/id/eprint/16285/1/ajassp.2009.1838.1844.pdf |
| _version_ | 1825945786412695552 |
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| author | Mat Noor, Muhamad Kadirgama, Kumaran Ali, Aidy Rahman, Md. Mustafizur Ghazalli, Zakri |
| author_facet | Mat Noor, Muhamad Kadirgama, Kumaran Ali, Aidy Rahman, Md. Mustafizur Ghazalli, Zakri |
| author_sort | Mat Noor, Muhamad |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T07:36:58Z |
| format | Article |
| id | upm.eprints-16285 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T07:36:58Z |
| publishDate | 2009 |
| publisher | Science Publications |
| record_format | dspace |
| spelling | upm.eprints-162852017-11-29T04:13:08Z http://psasir.upm.edu.my/id/eprint/16285/ Prediction of end-of-life strategies for household equipments using artificial intelligent Mat Noor, Muhamad Kadirgama, Kumaran Ali, Aidy Rahman, Md. Mustafizur Ghazalli, Zakri 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 http://psasir.upm.edu.my/id/eprint/16285/1/ajassp.2009.1838.1844.pdf 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 http://thescipub.com/html/10.3844/ajassp.2009.1838.1844 10.3844/ajassp.2009.1838.1844 |
| spellingShingle | Mat Noor, Muhamad Kadirgama, Kumaran Ali, Aidy Rahman, Md. Mustafizur Ghazalli, Zakri Prediction of end-of-life strategies for household equipments using artificial intelligent |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/16285/1/ajassp.2009.1838.1844.pdf |
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