Innovation and optimization promote the transformation and upgrading of digital workshops

With the development of artificial intelligence, 5G, and big data, the manufacturing industry has stepped into the era of intelligent digitalization. Digital transformation can not only help enterprises improve the overall efficiency of research and development system, production system and supply chain system, achieve cost reduction and efficiency, but also bring great changes to product innovation and business models.

Green Royal New Material Technology Co., Ltd, as a professional PVC profile manufacturing enterprise, has been optimizing the industrial structure for many years, strengthening technological innovation, and strive to provide customers with the best quality products. Combined with the actual production work, the company actively promotes the digital transformation and upgrading of the profile workshop, and uses information technology, automation, measurement and control technology as a means to connect different units of the workshop with data to carry out intelligent planning, management, diagnosis and optimization of the production and operation process. Further strengthen the overall management of the workshop, improve management efficiency, and lay a solid foundation for enterprise production efficiency and product quality.

On October 15, 2024, the staff of Dongying City Bureau of Industry and Information Technology and the third-party supervisor went to the company's factory to conduct field research on the digital workshop, mainly for the acceptance and investigation of the production equipment intelligent management system of the profile production workshop, the enterprise energy consumption control system, the product anti-counterfeiting traceability system, MES5 and ERP system.

Through the interconnection with MES, ERP and other systems, the workshop can realize the sharing and coordination of various information such as planning, scheduling, dispatching, blanking, quality, decision-making, etc., so as to achieve accurate planning, lean production, visual display, and fine manage