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

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.