A Sustainable Iterative Product Design Method Based on Considering User Needs from Online Reviews

Small and medium-sized manufacturing industries can use online reviews to add valuable user requirements, enabling them iteratively precisely upgrade their products based on needs. However, a sustainable, iterative approach product design requires the integration of large amount information about requirements for accurate selection. Currently, iterations are primarily focused developing new solutions or upgrading few components with little screening see if meet This leads number wasted resources shortened lifecycle. To address these challenges, this paper proposes sustainable research method that mines needs provides comprehensive decision making reviews, using probabilistic semantic term sets (PLTS). The proposed considers hesitation uncertainty among evaluating experts regarding indicators, uses decision-making trial evaluation laboratory (DEMATEL) analyze correlations between demand indicators. DEMATEL correlation function is improved by reconstructing PLTS acquisition score deviance into function, in form exact values an binary approach. feedback how users feel ensures most sustainably recycled. A drone case study presented demonstrate feasibility In-depth interviews confirm more methodology design.