3D矢量空间和最优最劣法在绿色产品设计决策方法中的应用
Application of 3D Vector Space and Best Worst Method in Decision-making Method of Green Product Design
裴卉宁 1谭昭芸 1杨冬梅 1黄雪芹 1郭任哲1
作者信息
- 1. 河北工业大学建筑与艺术设计学院,天津 300401
- 折叠
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.
Abstract
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Key words
3D vector space/best worst method/green product/sustainable design/multiple attribute decision making引用本文复制引用
基金项目
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)
出版年
2024
国家科技期刊平台
NSTL
万方数据