Comexi is part of the groundbreaking MADAM project, a collaboration between industry experts that aims to revolutionise manufacturing processes through digital technology and automation.
The MADAM (Automatic Model for Anomaly Detection and Error Prevention with Machine Learning) project focuses on modernising production processes to increase efficiency. This innovative project, involving a consortium with Synaptik, Dribia, RotorPrint and coordinated by the Packaging Cluster, aims to use machine learning to detect and prevent errors in laminating machines.
Its goal is to gain new knowledge in anomaly detection and develop solutions to anticipate and minimise defects. The success of MADAM will significantly reduce waste, improve product quality, optimise machines and increase productivity. These improvements will translate into increased customer satisfaction and an improved brand image.
Throughout the development of MADAM, Comexi will define the requirements and variables to monitor the health of various modules and components in its machines. The data obtained will be analysed to build a cause-and-effect model that anticipates machine stops. A data visualisation model will be implemented, followed by an evaluation of the system through machine testing.
Comexi’s involvement in the MADAM project is a testament to its commitment to innovation and dedication to advancing the flexible packaging industry. By embracing machine learning, the aim is to set new standards in production quality and efficiency.
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The success of MADAM will significantly reduce waste, improve product quality, optimise machines and increase productivity
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