Research Article
Custom Product Design Method Based on the Kano-QFD Integrated Model
@INPROCEEDINGS{10.4108/eai.24-11-2023.2343366, author={Siji Chen and Yueyi Zhang and Jun Gong}, title={Custom Product Design Method Based on the Kano-QFD Integrated Model }, proceedings={Proceedings of the International Conference on Industrial Design and Environmental Engineering, IDEE 2023, November 24--26, 2023, Zhengzhou, China}, publisher={EAI}, proceedings_a={IDEE}, year={2024}, month={2}, keywords={customer needs; kano model; qfd; product development; planning model}, doi={10.4108/eai.24-11-2023.2343366} }
- Siji Chen
Yueyi Zhang
Jun Gong
Year: 2024
Custom Product Design Method Based on the Kano-QFD Integrated Model
IDEE
EAI
DOI: 10.4108/eai.24-11-2023.2343366
Abstract
In response to the increasing prominence of heterogeneous customer demands in today's market and their impact on product development, researchers have shown interest in incorporating customer needs into product design. Quality Function Deployment (QFD) is a customer-centric approach to the process of designing products, but it has limitations in accurately understanding customer needs. The Kano model offers a qualitative framework for categorizing customer requirements and elucidating their influence on overall customer contentment. This research explores a product design method that integrates the Kano model with quantitative QFD. First, the quantification of the Kano model involves discerning the connection between customer requirements and the level of customer contentment. Then, considering the characteristics of mass customization, traditional Quality Houses are improved, and the integration of qualitative and quantitative findings from the Kano model is employed within the QFD framework to enhance the comprehension of customer requirements. Finally, while taking cost and technical constraints into account, a product planning model with maximizing customer satisfaction as the objective is established. Through applied analysis in the realm of personalized manufacturing, the proposed model's viability and efficacy are substantiated.