Collaborating with NCUT and I-SHOU to create a campus smart manufacturing experiment field.

In response to the significant trend of Industry 4.0, the i-TEC ERP team has been collaborating with the National Chin-Yi University of Technology and I-SHOU University to introduce smart manufacturing education and research initiatives, strategically establishing a "Campus Smart Manufacturing Experimental Field."

The National Chin-Yi University of Technology emphasizes that the "Smart Production Laboratory" can serve as a catalyst for training smart production talents and generating technologies that can address the needs of intelligent production in the business sector. Simultaneously, it functions as an experimental field for sharing internship experiences in "smart production." Both faculty members and industry experts can collaborate within this laboratory for co-teaching and research and development, guiding students in project implementation and system development skills. This initiative aims to enhance the planning and management capabilities of both teachers and students in the realm of "smart production lines."

The core of this smart production line consists of two interconnected six-axis robotic arms, working in collaboration with the AI 2000 quality recognition device. These components collectively execute tasks such as laser engraving of manual tool panels, defect visual recognition, and packaging operations. Additionally, in partnership with LNC Technology, the university is planning to develop a visualization management system. This system aids in monitoring real-time production progress within the laboratory while also facilitating data analysis.

Integration and construction of the smart production system: The integration of the iTEC ERP, MES, and SCADA systems involves multiple aspects. The ERP system is used to create manufacturing work orders and perform production scheduling and dispatching. Simultaneously, it is linked to the MES system for real-time job reporting. The MES system is interconnected with on-site robotic arms and SCADA for immediate production control. This comprehensive approach allows for continuous monitoring of product manufacturing processes, ensuring precise control over production quality. Moreover, it facilitates concurrent data analysis, enabling students to enhance their skills while actively engaging in practical production activities.

Previous Article Back To List