TEACHING FACTORY COMPETENCE CENTER
The Teaching Factory (TF) concept was developed by Laboratory for Manufacturing Systems and Automation (LMS) and is applied on such Greek and other European manufacturing industries. TF concept is an effective way of interconnection between educational institutes and manufacturing. It is an innovative approach of both educational process and solution of real manufacturing problems. This model gives the opportunity of connection between academia and industry in worldwide scale and provides multiple benefits to students and industries.
The technological areas where Teaching Factory Competence Center work on, outcome from the needs and challenges of the national manufacturing industry and a combination of applications based on Industry 4.0 technologies such as Artificial Intelligence (AI), Industrial Robotics, Digital Twin (DT) and Internet of Things (IoT).
The Action “COMPETENCE CENTRES” is co-financed by Domestic Funds and the European Union and in particular by the European Regional Development Fund (ERDF) within the framework of the Operational Program “Competitiveness, Entrepreneurship and Innovation 2014-2020″ (EPAnEk) of the NSRF 2014-2020.
TEACHING FACTORY COMPETENCE CENTER
The Teaching Factory (TF) concept was developed by Laboratory for Manufacturing Systems and Automation (LMS) and is applied on such Greek and other European manufacturing industries. TF concept is an effective way of interconnection between educational institutes and manufacturing. It is an innovative approach of both educational process and solution of real manufacturing problems. This model gives the opportunity of connection between academia and industry in worldwide scale and provides multiple benefits to students and industries.
The technological areas where Teaching Factory Competence Center work on, outcome from the needs and challenges of the national manufacturing industry and a combination of applications based on Industry 4.0 technologies such as Artificial Intelligence (AI), Industrial Robotics, Digital Twin (DT) and Internet of Things (IoT).
The Action “COMPETENCE CENTRES” is co-financed by Domestic Funds and the European Union and in particular by the European Regional Development Fund (ERDF) within the framework of the Operational Program “Competitiveness, Entrepreneurship and Innovation 2014-2020″ (EPAnEk) of the NSRF 2014-2020.
Competence Center Services
Technical
These services are oriented in technical support of manufacturing industriesEducational
The Competence Center support the implementation of the technical services by training professionalsConsulting
Consulting services of Teaching Factory Competence support production engineers and individualsConsulting services of Teaching Factory Competence support production engineers and individuals to upgrade and expand their business activities.
«EIT MANUFACTURING»
Interconnection services via the Greek EIT Manufacturing hub, educational and training services.“EIT Manufacturing” services include interconnection services via the Greek EIT Manufacturing hub, educational and training services.
Competence Center Services
Technical
These services are oriented in technical support of manufacturing industriesEducational
The Competence Center support the implementation of the technical services by training professionalsConsulting
Consulting services of Teaching Factory Competence support production engineers and individualsConsulting services of Teaching Factory Competence support production engineers and individuals to upgrade and expand their business activities.
«EIT MANUFACTURING»
Interconnection services via the Greek EIT Manufacturing hub, educational and training services.“EIT Manufacturing” services include interconnection services via the Greek EIT Manufacturing hub, educational and training services.
Technological Areas
Digital production & Industrial automation
The need for implementation of flexible production systems leads to the rapid development of Artificial Intelligence (AI) applications. Flexibility is achieved via the deployment of industrial robots which their operation is not limited on repetitive tasks but is also driven by sensors’ data and recognize the status of the managed system. Robots are equipped with tools based on Artificial Intelligence. In more detail AI algorithms and Robots’ Digital Models are deployed to train the system aiming to predict the robot’s behaviour. In addition, advanced controllers receive data from sensor networks and via AI algorithms can provide correction actions aiming to optimize the accuracy of the arm trajectory.
Advanced Processing Technology: Production, Systems & Production Processes
In the context of Industry 4.0, manufacturing industries increase their productivity, reduce production and scrap times and introduce the circular economy through integration into existing production systems such as Automatic integration, Intelligent design , Cognitive control, etc., which are achieved through the application of various technologies such as Internet of Things (Internet of Things – IoT), Intelligent industrial robots, 3D printing (additive manufacturing), Artificial Intelligence and Virtual Reality.
Creating smart solutions, upgrading, and modernizing processing / production devices to increase competitiveness are based on the discussed tools. More specifically, the modelling and simulation of complex production processes to optimize them, using advanced methods of analysis (e.g., Neural Networks, Artificial Intelligence systems, molecular dynamics, hybrid methods, finite elements, etc.) are key tool for improving productivity and product quality of manufacturing industries.
Mixed Reality (AR / VR) & Sensing Technologies
Mixed Reality technologies are a combination of augmented reality (AR) and virtual reality (VR). These technologies have a dual purpose: 1) to monitor, supervise and control production remotely or in a mixed way, contributing to physical safety and ergonomics, 2) to contribute on training by offering various realistic handling scenarios (both literally and figuratively) using Mixed Reality technology.
State of the art communications and 5G
State-of-the-art communications and 5G can significantly enhance the distance learning and the training processes which are the core competencies and services of the Competence Centre. Researchers, small and medium enterprises, and large companies can use the 5G infrastructure for educational, experimental and development purposes. The 5G infrastructure will promote rapid technological changes that will enable the full development of the digital industry, the intelligent systems industry, the Internet of Things, as well as the advanced production systems.
Technological Areas
Digital production & Industrial automation
The need for implementation of flexible production systems leads to the rapid development of Artificial Intelligence (AI) applications. Flexibility is achieved via the deployment of industrial robots which their operation is not limited on repetitive tasks but is also driven by sensors’ data and recognize the status of the managed system. Robots are equipped with tools based on Artificial Intelligence. In more detail AI algorithms and Robots’ Digital Models are deployed to train the system aiming to predict the robot’s behaviour. In addition, advanced controllers receive data from sensor networks and via AI algorithms can provide correction actions aiming to optimize the accuracy of the arm trajectory.
Advanced Processing Technology: Production, Systems & Production Processes
In the context of Industry 4.0, manufacturing industries increase their productivity, reduce production and scrap times and introduce the circular economy through integration into existing production systems such as Automatic integration, Intelligent design , Cognitive control, etc., which are achieved through the application of various technologies such as Internet of Things (Internet of Things – IoT), Intelligent industrial robots, 3D printing (additive manufacturing), Artificial Intelligence and Virtual Reality.
Creating smart solutions, upgrading, and modernizing processing / production devices to increase competitiveness are based on the discussed tools. More specifically, the modelling and simulation of complex production processes to optimize them, using advanced methods of analysis (e.g., Neural Networks, Artificial Intelligence systems, molecular dynamics, hybrid methods, finite elements, etc.) are key tool for improving productivity and product quality of manufacturing industries.
Mixed Reality (AR / VR) & Sensing Technologies
Mixed Reality technologies are a combination of augmented reality (AR) and virtual reality (VR). These technologies have a dual purpose:
- To monitor, supervise and control production remotely or in a mixed way, contributing to physical safety and ergonomics.
- To contribute on training by offering various realistic handling scenarios (both literally and figuratively) using Mixed Reality technology.
State of the art communications and 5G
State-of-the-art communications and 5G can significantly enhance the distance learning and the training processes which are the core competencies and services of the Competence Centre. Researchers, small and medium enterprises, and large companies can use the 5G infrastructure for educational, experimental and development purposes. The 5G infrastructure will promote rapid technological changes that will enable the full development of the digital industry, the intelligent systems industry, the Internet of Things, as well as the advanced production systems.
Competence Center Members
Competence Center Members
NEWS
NEWS
Contact Us
TEACHING FACTORY COMPETENCE CENTER
Papandreou & Miaouli Street, Patras, Interchange 4 Perimetrical
Phone: +30 2610 525256
Email: info@teachingfactory-cc.eu
Web: teachingfactory-cc.eu
TEACHING FACTORY COMPETENCE CENTER
Papandreou & Miaouli Street, Patras, Interchange 4 Perimetrical
Phone: +30 2610 525256
Email: info@teachingfactory-cc.eu
Web: teachingfactory-cc.eu
