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Prediction of Recycle Method using Relevance Vector Machine

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. Relevance Vector Machine method (RVM) is used to determine recycling strategy (reuse, service, remanufacture, recycle with disassembly,...

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Main Authors: M. M., Noor, M. M., Rahman, K., Kadirgama, M. A., Maleque
Format: Article
Language:English
Published: 2011
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/2221/1/Prediction_of_Recycle_Method_using_Relevance_Vector_Machine.pdf
http://umpir.ump.edu.my/id/eprint/2221/
http://www.scientific.net/AMR.264-265.943
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id my.ump.umpir.2221
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spelling my.ump.umpir.22212018-01-25T06:47:38Z http://umpir.ump.edu.my/id/eprint/2221/ Prediction of Recycle Method using Relevance Vector Machine M. M., Noor M. M., Rahman K., Kadirgama M. A., Maleque TJ Mechanical engineering and machinery 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. Relevance Vector Machine method (RVM) 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 RVM model. Three electronic equipments were selected to be examined such as vacuum cleaner, washing machine, television. All the results verify previous literature study. The prediction model predicts the end of life (EOL) strategies quite closely with real industry practices. 2011 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/2221/1/Prediction_of_Recycle_Method_using_Relevance_Vector_Machine.pdf M. M., Noor and M. M., Rahman and K., Kadirgama and M. A., Maleque (2011) Prediction of Recycle Method using Relevance Vector Machine. Advanced Materials Research, 264-26. pp. 1557-1562. ISSN 1022-6680 http://www.scientific.net/AMR.264-265.943
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
M. M., Noor
M. M., Rahman
K., Kadirgama
M. A., Maleque
Prediction of Recycle Method using Relevance Vector Machine
description 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. Relevance Vector Machine method (RVM) 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 RVM model. Three electronic equipments were selected to be examined such as vacuum cleaner, washing machine, television. All the results verify previous literature study. The prediction model predicts the end of life (EOL) strategies quite closely with real industry practices.
format Article
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
title Prediction of Recycle Method using Relevance Vector Machine
title_short Prediction of Recycle Method using Relevance Vector Machine
title_full Prediction of Recycle Method using Relevance Vector Machine
title_fullStr Prediction of Recycle Method using Relevance Vector Machine
title_full_unstemmed Prediction of Recycle Method using Relevance Vector Machine
title_sort prediction of recycle method using relevance vector machine
publishDate 2011
url http://umpir.ump.edu.my/id/eprint/2221/1/Prediction_of_Recycle_Method_using_Relevance_Vector_Machine.pdf
http://umpir.ump.edu.my/id/eprint/2221/
http://www.scientific.net/AMR.264-265.943
_version_ 1643664563339526144
score 13.211869

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