Workshop 2:

Fashion Big Data Technology Platform –Textile Supply Chain Digitization and Industry 4.0






July 8, 2021



Password: 730699



Internet, Big Data and Artificial Intelligence constitute the key technology drive for the future of fashion textile industry, permitting to create new business models for the whole supply chain in the era of Industry 4.0.


In this workshop report a novel fashion big data technology platform linking consumers’ needs for fashion textile products and global fashion market demands with the garment design and textile manufacturing processes. This platform enables the development of new business models for retailers (B2C) and business partners in the supply chain (B2B), providing data-based services


The textile and clothing industry still occupy a crucial position in the manufacturing sector in Europe.  However, this industrial manufacturing sector was challenged by a drastic reduction in Europe due to relocation to countries outside the EU with cheaper labour costs, leading to the reduction of manufacturing in Europe and leaving facilities as well as data and knowledge unexploited.


Supply chains in the EU are still too weak when facing international competition due to low levels of communication and cooperation between the concerned actors and lack of efficient tools for quick access to their target consumers.


Existing digital platforms can only process relatively simple interactions at the interfaces between consumers and retailers, in which B2B (interactions among the manufacturers in the supply chain) and B2C (interactions between consumers and retailers) models have not been systematically integrated.

The FBD_BModel project, funded by the European Commission, created a digital technology platform for enabling small series innovative high value fashion and functional garments manufacturing and e-commerce, through a fully connected and data-driven local supply chain in the EU, to meet consumer’s personalized needs in terms of fashion, sensory and functional performances.


FBD_Foundation will meet academic and industrial stakeholders, to showcase the project results and their future exploitation, for the development of novel supply chains supporting innovative data services in fashion industry digitization.


This workshop will be organized in three special sessions to provide in-depth knowledge disseminations and product results exploitation in three areas, including fashion apparel digitization platform, functional apparel digitization platform and Digital supply chain management platform. Detailed programmes are shown below for each special workshop.


Session B-Workshop

                                                              FBD Workshop: Fashion Big Data Business Model

Session Chairs

Prof. Prof. Xiani Zeng (France)

Prof. Henry Yi Li (UK)

Time Slot

Author Name

Paper Tittle

12:30-13:00 (PARIS TIME)
18:30-19:00 (BEIJING TIME)

Introductiony: Host-UoM/ENSAIT

Inroduction and Welcome message, ENSAIT and UoM

13:00-13:30 (PARIS TIME)
19:00-19:30 (BEIJING TIME)

Prof. Xianyi Zeng (ENSAIT, France)

An Overview of FBD_BModel: Innovations Towards Textile Industry
4.0 via Digitalization and Intelligentization

Fashion Cloud Computational Interative Design System (Fashion CC_IDS)

13:30-14:00 (PARIS TIME)
19:30-20:00 (BEIJING TIME)

Prof. Xianyi Zeng (ENSAIT, France)

Introduction to FBD Fashion CC_IDS

14:00-14:15 (PARIS TIME)
20:00-20:15 (BEIJING TIME)

Shukla Sharma, Ludovic Koehl, Pascal Bruniaux, Xianyi Zeng (ENSAIT, France)

Intelligent Interactive Fashion Design System for Customized Garments: Recommendation, 3D Garment Visualization, Adjustment

14:15-14:30 (PARIS TIME)
20:15-20:30 (BEIJING TIME)

Zhujun Wang, Shukla Sharma, Ludovic Koehl, Pascal Bruniaux, Xianyi Zeng (ENSAIT, France)

Intelligent Interactive Fashion Design System for customized garments: 3D garment fitting, design knowledge base

Functional Cloud Computational Interative Design System (Functional  CC_IDS)

14:30-15:00 (PARIS TIME) 
20:30-21:00 (BEIJING TIME)

Prof. Henry Yi Li (UoM, UK)

Cloud Computational Interactive Design Systems
–Linking Consumers with Fashion Supply Chain Business Partners
Directly and Digitally

15:00-15:15 (PARIS TIME)    
21:00-21:15 (BEIJING TIME)

Kuo Cao, Zhangchi Liu, Tim Jun Li, Yi Lin (UK)

IT Architecture and Technology Platform for Digital Fashion Business Model in Bigdata Era

15:15-15:30 (PARIS TIME)    
21:15-21:30 (BEIJING TIME)

Zhangchi Liu, Kuo Cao, Tim Jun Li, Yi Li (UK)

Data Services and Digital Fashion Business Model in Big data Era

15:30-15:45 (PARIS TIME)    
21:30-21:45 (BEIJING TIME)

Tim Jun Li, Kuo Cao, Zhangchi Liu, Yi Li (HK, China)

API Design and Data Service Function for Digital Fashion Business Model in Bigdata Era

15:45-16:00 (PARIS TIME)    
21:45-22:00 (BEIJING TIME)

Fengzhi Li,Yi Li (China)

Prediction of Human Thermal Physiological Response Based on Wiggers Diagram of the Cardiac Cycles

16:00-16:15 (PARIS TIME)    
22:00-22:15 (BEIJING TIME)

Lihuan Zhao, Zhangchi Liu, Kuo Cao, Tim Jun Li, Yi Li (China)

Effect of Fabric Moisture Management Properties on Thermal Functional Performance of Men's Business Shirts

16:15-16:30 (PARIS TIME)    
22:15-22:30 (BEIJING TIME)

Tianyu Kou, Zhangchi Liu, Kuo Cao, Tim Jun Li, Yi Li (UK)

Predicting Comfort Performance of Business Shirts in Different Wear Situation

16:30-16:45 (PARIS TIME)    
22:30-22:45 (BEIJING TIME)

Xueying Liu, Zhangchi Liu, Kuo Cao, Tim Jun Li, Yi Li (UK)

The Effect of Membrane Position on Thermal Comfort of Men’s Jacket

16:45-17:00 (PARIS TIME)    
22:45-23:00 (BEIJING TIME)

Ranyi Tao, Zhangchi Liu, Kuo Cao, Tim Jun Li, Yi Li (UK)

The Effect of Garment Style on Thermal Comfort of Women’s Coat

17:00-17:15 (PARIS TIME)    
23:00-23:15 (BEIJING TIME)

Francesca Whitaker, Zhangchi Liu, Kuo Cao, Tim Jun Li, Yi Li (UK)

Exploring the Effect of Fabric Structure and Moisture Management Properties on the Thermal Comfort of Sportswear

17:15-17:30 (PARIS TIME)    
23:15-23:30 (BEIJING TIME)

Qing-hong Huang, Zhangchi Liu, Tim Jun Li, Yi Li (UK)

Influence of Fabric Properties on Clothing Thermal Comfort under Different Environmental Temperatures