E3S Web Conf.
Volume 179, 20202020 International Conference on Environment and Water Resources Engineering (EWRE 2020)
|Number of page(s)||8|
|Section||Environmental and Industrial Design|
|Published online||23 July 2020|
Research on Garment Mass Customization Architecture for Intelligent Manufacturing Cloud
1 Chinese Academy of Lifestyle Design, Beijing Institute of Fashion Technology, Beijing, 100028, China
2 Department of Mechanical and Electrical Engineering, Lanzhou Vocational Technical College, Lanzhou, 730070, China
3 Department of Electronics and Information Engineering, Lanzhou Vocational Technical College, Lanzhou, 730070, China
∗ Corresponding author’s e-mail: email@example.com
The deep integration of Internet, intelligent manufacturing and big data technology has promoted the development of products to be networked, digital, intelligent and personalized. The rapid iteration and differential segmentation of consumer demand has spawned new personalized consumer demand, transforming the traditional manufacturing model into a service-oriented manufacturing model. This paper analyses the large-scale customized operation mode of domestic and foreign clothing custom brands. In view of the transformation of traditional clothing industry, this paper proposes a solution to establish a large-scale custom clothing architecture under the vision of intelligent manufacturing cloud platform technology. This paper uses data mining and cloud computing and other methods to build an “Internet + manufacturing” innovation model with rapid collaboration under the umbrella of big data, and propose an architecture for mass customization of clothing, providing effective solutions and strategy recommendations for the transformation and upgrading of the traditional apparel industry.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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