News:On May 20, Tianjin Ronglian Huizhi Technology Co., Ltd. and Tianjin Printing Alliance jointly held the "Tianjin Printing Alliance Sharing Session" in Evergreen Group, discussing intelligent manufacturing in the printing industry with many enterprises solution. PART01 Open collaboration and common exchange The sharing meeting of Tianjin Printing Alliance gathered elites from all walks of life in printing and related industries to discuss the latest development trends and cutting-edge technologies of intelligent manufacturing. As the initiator and organizer of the event, Ronglian Huizhi built a platform for mutual communication and exchange through on-site sharing + factory visits in an open and collaborative attitude. PART02 Traditional printing VS modern technology As an important part of the traditional manufacturing industry, the printing industry is facing ever-changing market changes and technical challenges. Intelligent manufacturing is one of the important paths for the printing industry to achieve transformation and upgrading and enhance competitiveness. Traditional printing factories rely on manual operation and experience accumulation, resulting in low production efficiency, while intelligent printing factories realize efficient management of the whole process through automation, digitalization and intelligent technical means, improve production efficiency and quality, and reduce production costs. PART03 Digital Production Management In this sharing meeting, Liu Mingxuan, general manager of Ronglian Huizhi, proposed the overall construction idea of "overall planning and step-by-step implementation" of smart factories, and gradually built smart factories through four stages of "informatization, automation, intelligence, and digital intelligence". chemical plant. Through the transformation of traditional machine data acquisition, with advanced management systems such as ERP, MES, WMS, MOM and Ronglian Cloud, as well as intelligent hardware equipment such as AGV and three-dimensional warehouse, the digital and intelligent management of the production process is realized. During the implementation of the project, the two parties jointly analyzed the business process of the enterprise, determined the links and problems that need to be optimized, and focused on the analysis of the bottleneck links. based on the analysis results, the business process is redesigned and optimized, and finally solidified into the system to improve efficiency and quality, and reduce costs and risks.
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