TY - JOUR
T1 - Research on AI Promoted Apparel Mass Customization
AU - Sun , Qian-Qian
AU - Hu , Xi-Wen
AU - Sun , Xiao-Dong
JO - Journal of Fiber Bioengineering and Informatics
VL - 3
SP - 243
EP - 256
PY - 2024
DA - 2024/04
SN - 16
DO - http://doi.org/10.3993/jfbim00384
UR - https://global-sci.org/intro/article_detail/jfbi/23080.html
KW - AI Promoted apparel Mass Customization
KW - RFID Technology
KW - AI Knowledge Management
KW - AI pattern making
KW - Flexible Manufacturing
AB - <p style="text-align: justify;">The traditional apparel industry faces challenges to the quarantine of the global COVID-19 pandemic
dramatically. The AI technics provide promising solutions for the apparel industry shift from labour-intensive to technic-intensive for survival. However, there are many open problems on how AI could find
its application in mass customization. This paper presents practicable methods, frameworks and the
curial technologies of AI-promoted apparel mass customization. The AI cloud will apply in traditional
knowledge management of customers (KM) with which AI cloud has been trained and make predication of
trends and customer’s preferences and enable personalized AI recommendations. With AI measurement
flexible digital research development techniques can automatically generate personalized patterns and
virtual garment prototypes based on different body shapes. By using the RFID label, the AI cloud could
easily provide quality control, products tracing back in the production process and AI logistics. Those
solutions and key technologies will benefit the process of apparel industry 4.0.</p>