Pattern Recognition Method to Predict Recycling Strategy for Electronic Equipments

被引:4
作者
Noor, M. M. [1 ]
Kadirgama, K. [1 ]
Rahman, M. M. [1 ,2 ]
Maleque, M. A. [3 ]
机构
[1] Univ Malaysia Pahang, Fac Mech Engn, Kuantan 26300, Pahang, Malaysia
[2] Univ Malaysia Pahang, Automot Excellence Ctr, Pahang, Malaysia
[3] Int Islamic Univ Malaysia, Fac Engn, Dept Mat & Mfg Engn, Bangi, Malaysia
来源
ADVANCES IN MATERIALS AND PROCESSING TECHNOLOGIES II, PTS 1 AND 2 | 2011年 / 264-265卷
关键词
Environmental problem; Functional radial basis function networks; life cycle engineering; relevance vector machine method; END-OF-LIFE;
D O I
10.4028/www.scientific.net/AMR.264-265.949
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:949 / +
页数:2
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