Smarter Fabric Manufacturing Through Quality Prediction

Lead  Prof. JIANG Binyan

Department of Data Science and Artificial Intelligence

Prof. Jiang’s development of a hybrid statistical model has directly enabled a global textile manufacturer based in the Mainland, to save over HK$2.5 M in production costs and reduce fabric wastage by 120,000 yards annually in addition to significant environmental savings, including a 375 ton reduction in greenhouse gases, all while saving manpower.

The textile manufacturing giant, which produces 110 million shirts per annum, states that the PolyU software has “largely transformed (a) vital step” of the manufacturing process, and more broadly “shifts the paradigm and changes the mindset of our workforce” regarding the future digitalisation of the manufacturing process. 

RAE 2020 Impact Case Study