Refined digitalization helps upgrade clothing production processes, which refers to applying digital technology to the clothing production process to improve production efficiency, reduce resource waste, improve product quality, and achieve personalized customization. The following lists the applications of several common digital technologies in clothing production:
1. CAD/CAM technology: computer-aided design (CAD) and computer-aided design Manufacturing (CAM) technology is widely used in the apparel industry. Clothing design through CAD software can realize creative expression, simulate sample clothing effects and adjust design details to improve design efficiency. CAM technology can convert CAD design files into digital production instructions, realize automatic cutting, sewing and other production processes, and improve production efficiency and accuracy.
2. Three-dimensional body scanning: Using three-dimensional body scanning technology, you can quickly obtain the customer’s body shape data, such as accurately measuring height, chest circumference, hip circumference, etc. parameter. This data can be used for personalized clothing design and customization to provide a better wearing experience. At the same time, 3D body scanning can also be used for model selection and clothing model experiments, reducing the number of fittings during the customization process and improving efficiency.
3. Internet of Things technology: Internet of Things technology can realize automation and intelligence in clothing production. By embedding technologies such as sensors, tags and RFID on clothing, functions such as material tracking, inventory management, production plan optimization and traceability can be achieved. This helps to improve the controllability and transparency of production, reduce the waste of human resources and materials, and improve the efficiency of the overall supply chain.
4. Virtual reality and augmented reality: Virtual reality (VR) and augmented reality (AR) technologies can help designers and customers understand how clothing looks and wears. Effect. Designers can use virtual reality technology to display and adjust samples in a digital environment, reducing the cost and time of physical sample production. Customers can try on clothes in the virtual mirror through augmented reality technology and choose the style and size that best suits them, improving the shopping experience.
5. Data analysis and artificial intelligence: By collecting and analyzing a large amount of order data and customer feedback, clothing companies can use data analysis and artificial intelligence technology to predict Market demand, optimize production planning, improve product quality and recommend personalized styles. These technologies can give clothing companies a more competitive advantage and meet market demand.
Through the application of digital technology, clothing production can achieve a more efficient, precise and personalized production process, improve the overall quality level, and reduce resource waste. This will provide an important impetus for the development and upgrading of the apparel industry.
