文章基本信息

标题：Research on Garment Mass Customization Architecture for Intelligent Manufacturing Cloud
本地全文：下载
作者：Li Zhe ; Di Tao ; Tian Huan 等
期刊名称：E3S Web of Conferences
印刷版ISSN：2267-1242
电子版ISSN：2267-1242
出版年度：2020
卷号：179
页码：1-8
DOI：10.1051/e3sconf/202017902125
出版社：EDP Sciences
摘要：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.