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Volume 16, Issue 3
Research on AI Promoted Apparel Mass Customization

Qian-Qian Sun, Xi-Wen Hu & Xiao-Dong Sun

Journal of Fiber Bioengineering & Informatics, 16 (2023), pp. 243-256.

Published online: 2024-04

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  • Abstract

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.

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@Article{JFBI-16-243, author = {Sun , Qian-QianHu , Xi-Wen and Sun , Xiao-Dong}, title = {Research on AI Promoted Apparel Mass Customization}, journal = {Journal of Fiber Bioengineering and Informatics}, year = {2024}, volume = {16}, number = {3}, pages = {243--256}, abstract = {

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.

}, issn = {2617-8699}, doi = {https://doi.org/10.3993/jfbim00384}, url = {http://global-sci.org/intro/article_detail/jfbi/23080.html} }
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 -

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.

Sun , Qian-QianHu , Xi-Wen and Sun , Xiao-Dong. (2024). Research on AI Promoted Apparel Mass Customization. Journal of Fiber Bioengineering and Informatics. 16 (3). 243-256. doi:10.3993/jfbim00384
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