产品设计
计算机科学
虚拟现实
新产品开发
多准则决策分析
稳健性(进化)
模糊逻辑
产品(数学)
人机交互
系统工程
知识管理
工程类
人工智能
运筹学
营销
数学
业务
生物化学
化学
几何学
基因
作者
Ching Ping Kwok,Yuk Ming Tang
标识
DOI:10.1016/j.aei.2023.101910
摘要
Nowadays, customer-centric innovation is important in affective design, leading to the design and development of a product that fits the needs of a group of target customers for sales and marketing. Though there is much research on customer-centric innovation and affective product design, designing a novel and innovative product that appeals to customers remains difficult. This is not only due to the difficulty of knowing a customer's preference, enabling the product functionality, etc., but it is also very complex to optimize both the technical and aesthetical design factors and parameters for a group of customers. The technical design specification is one of the critical aspects in designing innovative technological products. In fact, a similar group of target customers usually has hidden preferences that provide us with clues for identifying the design of a product. To this end, we propose a sophisticated optimization technique using the Hybrid Fuzzy-based Analytical Hierarchy Process and the Integral-based Taguchi Method called the Fuzzy multi-criteria decision-making (MCDM) approach to determine the essential factors and design parameters in order to understand the preferences of customers and the technical requirements of engineers for designing the enclosure of a product. We demonstrate our methodology using the virtual reality (VR) Headset, which can be used for visualizing the metaverse in the virtual environment. The fuzzy MCDM approach suggested combines technical and aesthetical features to enhance the robustness of product design.
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