PROJECT COMPLETED

This demonstrator will intelligently highlight and organize the available resources of the I5.0 ecosystem to perform the necessary analysis, structuring and standardization of the detected data, as well as to derive an optimal coordination plan and optimization of the manufacturing line.

The technologies developed by TALON will lead industrial manufacturing to qualify the health of processes and ensure product quality, avoiding defects and optimizing processes. Data collected by sensors will be aggregated in an organized and useful way to be analyzed by algorithms, which will learn the correlation between variables, identify the most critical path of the production line and how to intervene to avoid future failures and defects.
A feedback loop will be implemented between the algorithm and the machine variables, allowing the corrective actions determined by the algorithms to avoid future errors. Therefore, process optimization, prevention of material waste and improved energy efficiency will be key benefits of this demonstrator.

Factor, thanks to TALON, will be able to optimize its data capture network during the CNC machining process of high-precision parts. The quantity and quality of the data, as well as its processing and reliability of the results is guaranteed by the system proposed by the project.

PROJECT COMPLETED

Manufacturing companies are continuously facing the challenge of redesigning and adjusting their manufacture systems. They adapt their process to produce goods adapted to specific requirements and produced under the minimum required production rate, guaranteeing high quality and limiting the use of resources in order to reduce production costs. Therefore, reducing waste, scraps and defects, as well as production costs and lead times will allow to increase productivity and hence, to pursue manufacturing excellence.

Nevertheless, current solutions show three major drawbacks: huge amount of data to manage during the manufacturing process; complexity of current solutions, not accessible for SMEs; Dynamic behaviour of the manufacturing factories; complexity of diverse, connected, interdependent entities which need suitable modelling and simulation approaches and data fusion techniques.

In this pilot, the data collected by the i4Q systems will allow to build a knowledge base to estimate the optimal working ranges of the machines and tools, anticipate maintenance, increasing the efficiency of the entire production system by reducing set-up times and a drastic reduction of incidents.

At Factor, we are committed to Industry 4.0 to boost efficiency and productivity in our high-precision CNC machining processes. Within this framework, we are implementing the i4Q system, a technology that will allow us to transform the way we manage our machinery and tools.