文献类型：期刊文献

英文题名：Applying TRIZ and Kansei engineering to the eco-innovative product design towards waste recycling with latent Dirichlet allocation topic model analysis

作者：Yang, Chaoxiang[1];Xu, Tengfei[1];Ye, Junnan[1]

机构：[1]East China Univ Sci & Technol, Sch Art Design & Media, 130 Meilong Rd, Shanghai 200237, Peoples R China

年份：2024

卷号：133

外文期刊名：ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

收录：;EI(收录号：20240715553034);WOS:【SCI-EXPANDED(收录号:WOS:001178987800001)】；

基金：The research team would like to express great appreciation to the editor and the relevant reviewers for the advises and suggestions on this paper. In addition, the authors wish to thanks the Shanghai Pujiang Program and the Chinese Universities Scientific Fund, for their financial support under Contract No. 2020PJC025 and No. JKZ01212202.

语种：英文

外文关键词：Eco-innovative product design; Waste recycle; Kansei engineering; Latent Dirichlet allocation; Coffee maker; Online reviews

摘要：Recycling waste is one of the main methods of sustainable design concept, which can reduce resource consumption and thus create eco-friendly products. Traditional green design has focused on the recycling of waste and the extension of the life cycle of product materials. Some scholars also consider emotional Customer Requirements (CRs) in eco-friendly products, but prioritize appearance over environmental function innovation. The rapid development of internet technology has enabled the proliferation of online product reviews, which can be analyzed to inform eco-innovative product design that meets CRs. Based on the CRs extracted from online reviews, this paper proposes an eco-innovative product design method that aims to recycle waste and meet emotional CRs. Firstly, online reviews are extracted using Latent Dirichlet Allocation (LDA), and CRs for environmental protection functions, appearance, human -computer interaction, and service experience are summarized by integrating sustainable design concepts and emotional design theories. Secondly, the Theory of Inventive Problem Solving (TRIZ) is utilized to suggest targeted solutions for core CRs, innovating product function modules and usage. Thirdly, the combination of Kansei Engineering (KE) and the Interactive Genetic Algorithm (IGA) is utilized for appearance design. Lastly, the research process is explained using the proposed method, with the example of a coffee maker's design, and its effectiveness and practicality are verified. The proposed method aims to recycle waste, optimize resource utilization, achieve environmental protection goals, and provide innovative approaches for advancing the circular economy. Additionally, this method prioritizes environmental sustainability and considers emotional CRs.