https://scholars.lib.ntu.edu.tw/handle/123456789/395975
標題: | A predictive product attribute driven eco-design process using depth-first search | 作者: | Kuo, T.-C. Smith, S. Smith, G.C. Huang, S.H. SHANA SMITH |
關鍵字: | Depth-first search; Eco-design process; Product attributes | 公開日期: | 2016 | 卷: | 112 | 起(迄)頁: | 3201-3210 | 來源出版物: | Journal of Cleaner Production | 摘要: | Life cycle assessment (LCA) for new designs is a difficult and time-consuming task. This study creates a predictive eco-design process using depth-first search. The approach uses a multi-attribute function, a similarity threshold, and depth-first search (DFS) to match new designs to previous designs, search the similarity graph, separate designs into groups, and predicts environmental impacts for new designs from previous designs. The product attributes in this study are primarily product modules or product components that have major effects on the environmental impacts. Since there is always some uncertainty when estimating LCA results, the minimum and maximum LCA results from previous designs in each group are used to predict environmental impacts for new designs, as ranges. Case study results show that the method can be used to improve product design, early in the eco-design process. Consequently, the process can be used to reduce design time and reduce design cost. © 2015 Elsevier Ltd. All rights reserved. |
URI: | http://www.scopus.com/inward/record.url?eid=2-s2.0-84958102020&partnerID=MN8TOARS http://scholars.lib.ntu.edu.tw/handle/123456789/395975 |
DOI: | 10.1016/j.jclepro.2015.10.005 | SDG/關鍵字: | Design; Environmental impact; Life cycle; Product design; Uncertainty analysis; Depth first search; Depth-First-Search (DFS); Life Cycle Assessment (LCA); Multi-attributes; Product attributes; Product module; Similarity threshold; Time-consuming tasks; Design process; Ecodesign |
顯示於: | 機械工程學系 |
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