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作 者:裴卉宁 谭昭芸 杨冬梅[1] 黄雪芹 郭任哲 PEI Huining;TAN Zhaoyun;YANG Dongmei;HUANG Xueqin;GUO Renzhe(School of Architecture and Art Design,Hebei University of Technology,Tianjin 300401,China)
机构地区:[1]河北工业大学建筑与艺术设计学院,天津300401
出 处:《机械科学与技术》2024年第2期238-248,共11页Mechanical Science and Technology for Aerospace Engineering
基 金:河北省高等学校人文社会科学研究项目(SD201091);天津市艺术科学规划项目(C16064)。
摘 要:为了解决目前绿色产品设计方案中产品基础属性考虑欠缺,以及缺乏可视化比较方法的问题,提出一种基于3D矢量空间和最优最劣法(Best worst method,BWM)的绿色产品设计多属性决策方法。通过功能、外观和可持续3个维度为绿色产品设计的基础属性构建3D矢量空间,并对每个维度扩充其包含的下级属性;利用间隔方法优化的BWM获得三个维度及各维度下级属性的权重分配;通过3D矢量空间求得各备选方案的总体评价得分,实现客观科学的绿色产品设计多属性决策。以电动汽车的绿色产品设计方案为例,验证了所提方法的可行性和有效性。In order to solve the problem of lack of consideration of basic product attributes and lack of visual comparison methods in current green product design schemes,a multiple attribute decision-making method for green product design based on 3D vector space and Best Worst Method(BWM)was proposed.Firstly,the model is constructed as a 3D vector space through the three dimensions of function,exterior and sustainability for the basic attributes of green product design,and the lower-level attributes of each dimension was expanded.Secondly,BWM that in-corporates the interval method was used to obtain the weight distribution of the three dimensions and the lower-level attributes of each dimension.Then,the overall evaluation score of each alternative was obtained through the 3D vector space to realize the objective and scientific multi-attribute decision-making of green product design.Finally,the feasibility and effectiveness of the proposed method was verified by taking the green product design scheme of electric vehicles as an example.
关 键 词:3D矢量空间 最优最劣法 绿色产品 可持续设计 多属性决策
分 类 号:C934[经济管理—管理学] TH122[机械工程—机械设计及理论]
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