Abstract: To solve the conventional Life Cycle Assessment(LCA)inherent limitations such as long period,large number data requirement which led it difficult to support product conceptual design,a green features-based Rapid Life Cycle Assessment(RLCA)method was proposed.The green features model was established to extract and screen the green information.In view of a certain degree of uncertainty in green information,the uncertainty analysis must be done.The intuitionistic fuzzy numbers of fuzzy set theory were used to research the qualitative features,Monte Carlo methods were used to dispose the quantitative features and the standard deviation was regard as the uncertainty factor to do uncertainty analysis.The appropriate Life Cycle Impact Assessment(LCIA)method was selected to complete the life cycle impact assessment and obtain the LCA results.Consequently,the environmental impact assessment of the product design program was completed to support product green design.A front box of a gearbox was used as an example case to verify the proposed RLCA theory.

Key words: rapid life cycle assessment, green features, conceptual design, uncertainty, intuitionistic fuzzy numbers, Monte Carlo methods, product design

摘要： 为解决常规生命周期评价方法由于固有的周期长、数据需求量大等缺点而难以适用于产品的方案设计阶段问题,提出一种基于绿色特征的快速生命周期评价方法;建立了绿色特征模型筛选设计方案中的绿色信息。采用模糊集合理论中的直觉模糊数对定性特征值进行了研究;采用Monte Carlo法处理定量特征,并将其标准差作为不确定性因子进行不确定性分析。选择合适的生命周期影响评价方法进行生命周期影响评价,得到生命周期评价结果,以完成产品设计方案的环境影响评价,从而支持产品的绿色设计。通过某公司变速箱前箱体实例对所提快速生命周期评价理论进行了验证。

关键词: 快速生命周期评价, 绿色特征, 方案设计, 不确定性, 直觉模糊数, Monte Carlo方法, 产品设计