Pattern Recognition Method to Predict Recycling Strategy for Electronic Equipments
The environmental problem is an extensive, complex problem, and some example areas of study are energy consumption, material/resources use, recycling, and environmentally relevant substance control. Life cycle engineering is the engineering and design of products and processes to minimize the cost a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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2011
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| Online Access: | http://umpir.ump.edu.my/id/eprint/2218/ http://umpir.ump.edu.my/id/eprint/2218/1/Pattern_Recognition_Method_to_Predict_Recycling_Strategy_for_Electronic.pdf |
| _version_ | 1848817003374051328 |
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| author | M. M., Noor M. M., Rahman K., Kadirgama M. A., Maleque |
| author_facet | M. M., Noor M. M., Rahman K., Kadirgama M. A., Maleque |
| author_sort | M. M., Noor |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | The environmental problem is an extensive, complex problem, and some example areas of study are energy consumption, material/resources use, recycling, and environmentally relevant substance control. Life cycle engineering is the engineering and design of products and processes to minimize the cost and environmental impact for the life cycle phases of a product. Functional Radial Basis Function Networks (FRBFN) is used to determine recycling strategy (reuse, service, remanufacture, recycle with disassembly, recycle without disassembly and disposal). Seven parameters (wear - out life, technology cycle, level of integration, number of parts, reason for redesign and design cycle) were considered as the input for the FRBFN model. Eight equipments were selected to be examined such as vacuum cleaner, washing machine and television. All the results verify previous literature study. The prediction model predicts the end life strategies quite closely with best industry practices but only 25 % match average industry practices. |
| first_indexed | 2025-11-15T01:14:51Z |
| format | Article |
| id | ump-2218 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:14:51Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-22182018-01-25T06:10:29Z http://umpir.ump.edu.my/id/eprint/2218/ Pattern Recognition Method to Predict Recycling Strategy for Electronic Equipments M. M., Noor M. M., Rahman K., Kadirgama M. A., Maleque TS Manufactures TD Environmental technology. Sanitary engineering The environmental problem is an extensive, complex problem, and some example areas of study are energy consumption, material/resources use, recycling, and environmentally relevant substance control. Life cycle engineering is the engineering and design of products and processes to minimize the cost and environmental impact for the life cycle phases of a product. Functional Radial Basis Function Networks (FRBFN) is used to determine recycling strategy (reuse, service, remanufacture, recycle with disassembly, recycle without disassembly and disposal). Seven parameters (wear - out life, technology cycle, level of integration, number of parts, reason for redesign and design cycle) were considered as the input for the FRBFN model. Eight equipments were selected to be examined such as vacuum cleaner, washing machine and television. All the results verify previous literature study. The prediction model predicts the end life strategies quite closely with best industry practices but only 25 % match average industry practices. 2011 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/2218/1/Pattern_Recognition_Method_to_Predict_Recycling_Strategy_for_Electronic.pdf M. M., Noor and M. M., Rahman and K., Kadirgama and M. A., Maleque (2011) Pattern Recognition Method to Predict Recycling Strategy for Electronic Equipments. Advanced Materials Research, 264-26. pp. 949-955. ISSN 1022-6680. (Published) http://www.scientific.net/AMR.264-265.949 |
| spellingShingle | TS Manufactures TD Environmental technology. Sanitary engineering M. M., Noor M. M., Rahman K., Kadirgama M. A., Maleque Pattern Recognition Method to Predict Recycling Strategy for Electronic Equipments |
| title | Pattern Recognition Method to Predict Recycling Strategy for Electronic Equipments
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| title_full | Pattern Recognition Method to Predict Recycling Strategy for Electronic Equipments
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| title_fullStr | Pattern Recognition Method to Predict Recycling Strategy for Electronic Equipments
|
| title_full_unstemmed | Pattern Recognition Method to Predict Recycling Strategy for Electronic Equipments
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| title_short | Pattern Recognition Method to Predict Recycling Strategy for Electronic Equipments
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| title_sort | pattern recognition method to predict recycling strategy for electronic equipments |
| topic | TS Manufactures TD Environmental technology. Sanitary engineering |
| url | http://umpir.ump.edu.my/id/eprint/2218/ http://umpir.ump.edu.my/id/eprint/2218/ http://umpir.ump.edu.my/id/eprint/2218/1/Pattern_Recognition_Method_to_Predict_Recycling_Strategy_for_Electronic.pdf |