Machine learning for engineering design toward smart customization: A systematic review
In today's manufacturing industry, companies are striving to provide customized products to
maintain competitiveness. The challenge of design customization lies in the company's …
maintain competitiveness. The challenge of design customization lies in the company's …
A holistic relook at engineering design methodologies for smart product-service systems development
The rapid development and implementation of smart, connected products have triggered a
promising manufacturing paradigm of servitization, ie smart product-service systems (Smart …
promising manufacturing paradigm of servitization, ie smart product-service systems (Smart …
Review of artificial intelligence applications in engineering design perspective
Having passed the primitive phases and starting to revolutionize many different fields in
some way, artificial intelligence is on its way to becoming a disruptive technology. It is also …
some way, artificial intelligence is on its way to becoming a disruptive technology. It is also …
A proposal of the event-related potential method to effectively identify kansei words for assessing product design features in kansei engineering research
The effective acquisition of kansei words for assessing product design features plays a
decisive role in knasei engineering research, whereas previous studies rarely give a full …
decisive role in knasei engineering research, whereas previous studies rarely give a full …
A proposal for Kansei knowledge extraction method based on natural language processing technology and online product reviews
With the rapid development of the economy, product design has gradually shifted to
emotional design that focuses on satisfying users' emotional needs. Kansei engineering is …
emotional design that focuses on satisfying users' emotional needs. Kansei engineering is …
A novel approach of integrating natural language processing techniques with fuzzy TOPSIS for product evaluation
T Wang - Symmetry, 2022 - mdpi.com
Product designers need to fully understand consumers' emotional preferences and
responses for product forms to improve products. However, users and designers have …
responses for product forms to improve products. However, users and designers have …
Towards cognitive intelligence-enabled product design: The evolution, state-of-the-art, and future of AI-enabled product design
Engineering design researchers have increasing interests in leveraging artificial intelligence
(AI) techniques to a wide range of product design tasks, such as customer requirement …
(AI) techniques to a wide range of product design tasks, such as customer requirement …
Product innovation concept generation based on deep learning and Kansei engineering
X Li, J Su, Z Zhang, R Bai - Journal of Engineering Design, 2021 - Taylor & Francis
Industrial designers often present their initial concepts as design sketches. Rapid creation of
new product conceptual images that meet users' affective preferences remains challenging …
new product conceptual images that meet users' affective preferences remains challenging …
Multiple affective attribute classification of online customer product reviews: A heuristic deep learning method for supporting Kansei engineering
Kansei engineering is a product design methodology that takes into account the affective
needs of customers and translates them into product parameters. Traditionally, it uses …
needs of customers and translates them into product parameters. Traditionally, it uses …
[HTML][HTML] An improved Kansei engineering method based on the mining of online product reviews
Z Liu, J Wu, Q Chen, T Hu - Alexandria Engineering Journal, 2023 - Elsevier
The explosive growth of online review data on e-commerce websites demands major
changes to product emotional design. Kansei engineering, the primary approach of product …
changes to product emotional design. Kansei engineering, the primary approach of product …