Prediction of recycle method using relevance vector machine

Mat Noor, Muhamad and A/L Kadirgama, Kumaran and Rahman, Md. Mustafizur and Maleque, Md. Abdul (2011) Prediction of recycle method using relevance vector machine. Advanced Materials Research , 264. pp. 943-948. ISSN 1022-6680

PDF (Prediction of recycle method) - Published Version Restricted to Repository staff only Download (407kB) | Request a copy

Abstract

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.

Item Type:	Article (Journal)
Additional Information:	6103/1626
Uncontrolled Keywords:	Life cycle engineering, vector machine method, recycling strategy, design cycle.
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) T Technology > TS Manufactures
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Manufacturing and Materials Engineering
Depositing User:	Prof Dr. Md Abdul Maleque
Date Deposited:	02 Sep 2011 11:34
Last Modified:	06 Sep 2011 09:14
URI:	http://irep.iium.edu.my/id/eprint/1626

Actions (login required)

View Item