A knowledge-based approximate life cycle assessment system for evaluating environmental impacts of product design alternatives in a collaborative design environment-Reference-Cited by-同舟云学术

A knowledge-based approximate life cycle assessment system for evaluating environmental impacts of product design alternatives in a collaborative design environment

Published:2006-04 Issue:2 Volume:20 Page:147-154
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Park Ji-Hyung,Seo Kwang-Kyu

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems

Reference11 articles.

1. Environmental life-cycle assessment;Curran,1996

2. Park J-H, Seo K-K, Wallace D. Approximate life cycle assessment of classified products using artificial neural network and statistical analysis in conceptual product design. Proceedings of the second international symposium on environmentally conscious design and inverse manufacturing; 2001. p. 321–6.

3. Hartmut K, Virginia S. An approach to simplified environmental assessment by classification of products. Proceeding of the seventh CIRP international seminar on life cycle engineering; 2000. p. 163–9.

4. Approximate life-cycle assessment of product concepts using learning systems;Sousa;J Ind Ecol,2000

5. SETAC. Streamlined life-cycle assessment: a final report. SETAC North America; 1999.

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