Training programs are prepared at 3 levels for Operators, Engineers, and Managers.
In addition to these packages, customized training programs are also designed and those completed are already provided within the Digital Transformation Center.
1- Additive Manufacturing Applications in Apparel and Textile Industry;
Unlike traditional methods, it covers the methods of production by adding layer by layer. These methods are used to improve product quality, improve production processes, and use resources more efficiently in the textile and apparel sector. 3D printing technology is an example of additive manufacturing applications in this sector. With this technology, prototypes of designs can be produced quickly, and time and costs in the production process can be reduced.
2- Digital Transformation in Apparel Sector
It signifies the use of digital technologies in the sector and the restructuring of processes. This transformation covers all processes, from production to supply chain management, sales and marketing to customer relations.
3- Designing Digital Twin in Apparel Sector
It is a concept used as part of the digital transformation in the ready-to-wear sector. The Digital Twin is a digital copy of physical products or processes in the real world. This technology is used at every stage of the production process to improve product quality, enhance production processes, and optimize resource utilization. Among the benefits of the Digital Twin are shorter production times, increased production capacity, improved quality control, enhanced collaboration and communication, personalized products and experiences, data analytics, and forecasting capabilities. These advantages are important tools for gaining a competitive advantage in the ready-to-wear sector and optimizing business processes.
4- Industry 4.0 in Logistics, Manufacturing, Productivity, Automation
It includes elements such as machine learning, automation, connectivity, and real-time data. Industry 4.0 creates a more holistic and comprehensive ecosystem for companies focusing on production and supply chain management by combining physical production and processes with machine learning, smart digital technology, and big data. It facilitates communication between partners, processes, people, and products through real-time connections and insights.
5- Industry 4.0 Textile Machinery Implementation
Industry 4.0 covers a range of technologies applied to textile machinery. These technologies include elements such as artificial intelligence (AI), the Internet of Things (IoT), Big Data, and Machine Learning (ML). The application of Industry 4.0 to textile machinery brings about a significant transformation in the production processes and offers many benefits. The use of these technologies makes the production process more efficient and increases automation. Real-time communication and data analytics increase production efficiency and quality. Furthermore, real-time data-based predictions make it possible to detect errors in machines in advance or reduce them.
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Digital Transformation from Education, Design and Production