Machine learning for engineering design toward smart customization: A systematic review

X Wang, A Liu, S Kara - Journal of Manufacturing Systems, 2022 - Elsevier
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 …

A holistic relook at engineering design methodologies for smart product-service systems development

J Cong, CH Chen, P Zheng, X Li, Z Wang - Journal of Cleaner Production, 2020 - Elsevier
The rapid development and implementation of smart, connected products have triggered a
promising manufacturing paradigm of servitization, ie smart product-service systems (Smart …

Review of artificial intelligence applications in engineering design perspective

N Yüksel, HR Börklü, HK Sezer, OE Canyurt - Engineering Applications of …, 2023 - Elsevier
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 …

A proposal of the event-related potential method to effectively identify kansei words for assessing product design features in kansei engineering research

F Guo, QX Qu, M Nagamachi, VG Duffy - International Journal of Industrial …, 2020 - Elsevier
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 …

A proposal for Kansei knowledge extraction method based on natural language processing technology and online product reviews

Y Jiao, QX Qu - Computers in Industry, 2019 - Elsevier
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 …

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 …

Towards cognitive intelligence-enabled product design: The evolution, state-of-the-art, and future of AI-enabled product design

Z Wang, X Liang, M Li, S Li, J Liu, L Zheng - Journal of Industrial …, 2024 - Elsevier
Engineering design researchers have increasing interests in leveraging artificial intelligence
(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 …

Multiple affective attribute classification of online customer product reviews: A heuristic deep learning method for supporting Kansei engineering

WM Wang, JW Wang, Z Li, ZG Tian, E Tsui - Engineering Applications of …, 2019 - Elsevier
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 …

[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 …