Title :
A green-feature based LCA backtracking mechanism
Author :
Yang, Xiaodong ; Li, Fangyi ; Wang, Xiaowei ; Wang, Liming
Author_Institution :
Shandong Univ., Jinan, China
Abstract :
The current LCA research mainly focuses on evaluation model. And it is difficult to relate the results of assessment with the conceptual design information and support the concept optimization effectively from design level. A RLCA model with backtracking mechanism based on green feature is proposed in this paper, and the backtracking mechanism of the model is illustrated in detail. Firstly, the impact trend of green data on the product green property is analyzed through multivariable regression method, and the green data having greatest impacts is found. Then, corresponding design parameters of product concept are indentified based on the mapping relationship between green features and conceptual design information. Thus, feasible optimization suggestions can be proposed to optimize the design concept from design level. At last, an example is given to illustrate the application process of the model.
Keywords :
design for environment; optimisation; product design; product life cycle management; regression analysis; RLCA model; backtracking mechanism; conceptual design information; design parameters; green data; green-feature based LCA backtracking mechanism; product concept optimization; product green property; rapid lifecycle assessment; variable regression method; Abstracts; Green products; Iron; Materials; Noise; Recycling;
Conference_Titel :
Electronics Goes Green 2012+ (EGG), 2012
Conference_Location :
Berlin
Print_ISBN :
978-1-4673-4512-5
Electronic_ISBN :
978-3-8396-0439-7
