📋 Tender Overview
After taking office, Minister of Economic Affairs Gong Mingxin actively listened to the voices of the industry and emphasized that small and medium-sized enterprises and traditional industries are the foundation of Taiwans economic development. Through the Industrial Competitiveness Guidance Group, he gathered 30 public associations and 25 legal person resources to comprehensively assist enterprises in improving their competitiveness. Digital transformation is an important foundation for small and medium-sized enterprises to strengthen their competitiveness. The Small, Medium and New Enterprises Agency of the Ministry of Economic Affairs (hereinafter referred to as the China Enterprise Agency) held the Textile Industry AI Trial Production Line Results Exchange and Sharing Meeting at the Textile Industry Comprehensive Research Institute (hereinafter referred to as the Textile Institute) this morning (31st), explaining that in cooperation with the Textile Institute, the use of air-to-air fabric grabbing, digital spray dyeing, smart textiles, smart sorting, Seven major AI trial production lines, including smart cloth inspection, molecular design, and fast needle shuttle, trained 211 companies and 294 on-the-job AI practical professionals to effectively solve issues encountered in design and proofing, production processes, and quality management. Participating companies generally said that this training program helped accelerate digital transformation.
The Enterprise Administration of China has implemented the Diversified Revitalization and Development Plan for Small, Medium and Micro Enterprises since January this year. Through three strategies: digital transformation, net-zero transformation, and channel deployment, it has helped enterprises strengthen their operational resilience and enhance their competitiveness. It has also promoted AI trial production line personnel training courses since May, in conjunction with the Industrial Technology Department of the Ministry of Economic Affairs. Resources, aiming at important small and medium-sized manufacturing fields such as textiles, plastics and rubber, fasteners, hand tools, hydraulic hardware, automobile and motorcycle components, machine tools and machinery, food processing, and shoemaking industries, we cooperate with technical legal persons to provide high-end equipment for operators to learn and practice, and assist enterprises in digital transformation and equipment replacement.
The Enterprise Administration of China pointed out that the number of textile and garment factories currently in operation is 4,138, and more than 9 are small and medium-sized enterprises. Through this training program, at least 250 companies will be helped this year to accumulate sufficient momentum and overcome bottlenecks in digital transformation. The pilot production line course constructs seven major AI application fields based on industry characteristics, covering digital textile AI application, AI digital color control spray dyeing product application, electronic textile AI application development and verification, textile recycling AI application, AI cloth inspection R&D and verification application , fiber polymer AI application and AI needle and woven rapid proofing, etc., have successfully accelerated the implementation of AI technology, including fiber material identification, fabric texture simulation, fabric quality inspection, dyeing formula prediction, etc., helping manufacturers shorten product development time, reduce costs and improve yield rates.
Todays sharing session invites lecturers from partner companies such as Browzwear, RUBI Smart Technology, and Jingcheng Information to share their teaching experience, and students share their lessons. Trainees said that using cloth scanning, 3D simulation and other software to achieve the effect of grabbing cloth from a distance can shorten communication time with brand owners and speed up product design and development; or use AI smart fabric inspection to instantly determine fabric defects and reduce reliance on inspection manpower; or use AI to quickly identify the material of recycled textiles, conduct smart sorting, and establish a circular supply chain, which can help win brand orders. Participating companies generally stated that as a result of participating in this training program, they have carried out many digital transformation applications and can create more value with limited manpower to face challenges such as rising production costs and tariff issues, and called on their peers to actively participate in the training. The atmosphere at the scene was warm and attracted nearly a hundred people to participate, which showed that the textile industry attaches great importance to and needs the use of AI to empower and enhance innovation energy.
Spokesperson: Dai Wanrong, Deputy Director of the Small, Medium and New Enterprises Administration of the Ministry of Economic Affairs
Contact number: 02-23680816 ext. 202
Email: wjday@sme.gov.tw
Business Contact: Yun Ping, Team Leader Zhang, Small, Medium and New Enterprises Administration, Ministry of Economic Affairs
Contact number: 02-23680816 ext. 210
Email: ypchang@sme.gov.tw
